Total 3,174 job vacancies in Singapore

Job Description

• Industry/ Organization Type: Engineering/Manufacturing
• Position Title: Team Supervisor (Site Operations)
• Working Location: Kallang
• Working Hours: 5 days (Mon – Fri, 8.30 am – 6.30 pm)
• Salary Package: Basic salary $4,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Ensure accurate daily tracking of worker attendance, including clock-in and clock-out times.
• Provide strong leadership and guidance to the team of workers, ensuring smooth and efficient operations on the customer site.
• Assign tasks and duties based on individual team members' strengths and project requirements to optimize productivity.
• Communicate job roles, expectations, and deadlines clearly to all team members, ensuring they understand their responsibilities.
• Motivate and encourage the team to meet and exceed productivity targets while maintaining high morale within the group.
• Oversee and monitor the quality of work performed by team members to ensure customer satisfaction and adherence to company standards.
• Act as the primary contact for resolving any conflicts or issues among team members or with customers, ensuring a positive work environment.
• Address disputes quickly and fairly, promoting harmony within the team. Escalate major concerns to upper management when necessary, while proposing practical solutions.
• Ensure the availability of necessary tools, equipment, and resources for the team to perform their duties efficiently.
• Execute any new assignments as directed by the superior, adjusting to the needs of the project or operations.

APPLY NOW!!! 

• NITEC or Diploma qualification in an engineering-related field
• Proven experience in a supervisory or engineering role, preferably in a similar setting.
• Strong leadership skills with the ability to manage and motivate a team effectively.
• Excellent communication skills to clearly convey expectations and resolve conflicts.
• Good organizational and problem-solving abilities to ensure smooth workflow and timely task completion.
• Ability to work independently and escalate issues to upper management when necessary.

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #69544 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Responsibilities:

• Oversee the operations and maintenance of the CCTV system for a Government Authority in Singapore, ensuring high system availability, compliance with contractual Service Level Agreements (SLA), and continuous system performance optimisation.
• Lead and manage 24/7 maintenance operations including fault response, troubleshooting, rectification, and incident management to ensure system uptime, reliability, and operational availability.
• Monitor system performance, logs, alarms, and metrics to detect faults early, conduct root cause analysis (RCA), and implement corrective and preventive actions.
• Establish and enforce preventive and corrective maintenance regimes, including routine inspections, servicing, firmware/software updates, and system tuning.
• Manage system lifecycle activities including asset inventory, spare parts management, equipment replacement, upgrades, and relocation.
• Coordinate with internal engineering teams, customer representatives, and subcontractors for fault escalation, troubleshooting, and service delivery.
• Evaluate and propose system enhancements, upgrades, and optimisation initiatives, and oversee implementation while ensuring minimal service disruption and proper change management.
• Serve as the primary point of contact with the Authority, conducting SLA reviews, governance meetings, and ensuring compliance with contractual, regulatory, and audit requirements.
• Prepare and submit monthly reports, maintenance records, and documentation including SOPs, maintenance logs, incident reports, and system configurations.
• Manage internal maintenance teams and external vendors, ensuring compliance with safety, security clearance, and site requirements.

Requirements:

• Bachelor’s degree in Engineering, Computer Science, or related discipline.
• Project Management Professional (PMP) or equivalent certification preferred.
• Minimum 3 years of experience in maintenance or operations management of large-scale systems.
• Experience managing SLA-driven maintenance contracts, preferably for government or critical infrastructure.
• Strong understanding of CCTV systems, networking, and system integration.
• Proven experience in incident management, root cause analysis, and system operations.
• Strong stakeholder management, communication, and problem-solving skills.
• Experience working with Government projects or regulated environments.
• Familiarity with cybersecurity standards (e.g., IM8, CSA guidelines).
• Knowledge of IT service management frameworks (e.g., ITIL).
• Experience managing 24/7 operations and support teams.
• Experience managing vendor contracts and service providers.

If you are keen, please email your updated resume to daisylyn.jocson@tg-hr.com
EA License no.14C7275/Registration no. R1434860

Please take note that only shortlisted candidate will be contacted. Thank you.

Job Summary

Key Responsibilities

• Develop and execute sales strategies to acquire new clients through multiple channels and grow revenue for our commercial system software and workforce solutions.
• Lead client discovery sessions to understand business needs, operational challenges, and workforce requirements.
• Effectively communicate the company’s value proposition through proposals, presentations, product demos, and negotiations.
• Manage and respond to tenders, RFQs, and RFPs, providing commercial and technical input throughout the bid process.
• Monitor competitors, industry trends, and customer needs to refine sales strategies and solution offerings.
• Prepare regular reports on sales performance, pipeline, forecasts, and market insights.
• Gather and document technical and business requirements, working closely with theproduct and development teams to design cost-effective solutions.
• Drive the design and execution of Proof-of-Concept (POC) demonstrations to showcase solution value.
• Provide input on solution architecture, implementation approach, and best practices.
• Plan and execute system testing and UAT to obtain customer sign-off on technical requirements.
• Provide user experience and business insights to guide ongoing productenhancements.
• Guide new clients and platform members through registration, system onboarding, job requirements, payment processes, and benefits administration.
• Conduct interviews and assessments of prospective applicants, covering job responsibilities, grooming standards, salary, and benefits.
• Develop and maintain strong relationships with existing clients to ensure satisfaction, retention, and repeat business.
• Act as a key point of contact post-sales to support implementation, operational issues, and service optimisation.
• Mentor and guide junior sales, business development, or operations staff where applicable.
• Any other adhoc task assigned by Reporting Manager

Requirements / Qualifications

• Proven experience in software sales, preferably in IT solutions, SaaS, or workforce management systems.
• Strong product management experience or background, with the ability to translate technical features into business value.
• Excellent understanding of casual labour management systems or HR/workforce software is highly preferred.
• Strong interpersonal, negotiation, and communication skills.
• Ability to work independently, manage multiple priorities, and drive results.
• Bachelor’s degree in Business, IT, Engineering, or a related field. MBA is a plus.

Centre Executive (Marketing and Operations)

Reporting to: Centre Manager
Working Hours: 4 X Weekdays + 1 Weekend (9am-6pm)

Key Responsibilities

• Support daily centre operations, including client registration, attendance, payments, and record management.
• Handle enquiries, calls, appointment scheduling, and client follow-ups.
• Assist in preparing teaching/therapy materials and support classes when required.
• Maintain centre organisation, cleanliness, and inventory.
• Ensure proper documentation, compliance with regulations, and accurate reporting.
• Support business development efforts, including outreach, marketing materials, and social media content.
• Build strong client relationships, manage feedback, and conduct centre tours.
• Assist with staff scheduling, timesheets, and coordination, including support for interns.
• Prepare financial reports, invoices, and assist with regular submissions to HQ/ECDA.
• Perform ad hoc duties as assigned.

Interested applicants, please send your latest resume to jinkai@talentsatwork.sg or WhatsApp me at 98811690.

Talents@Work Pte Ltd (21C0501)

Tan Jin Kai (R23115830)

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Logistics & Operations Officer (Shipping)
• Working Location: Tuas Crescent
• Working Hours: 5.25 days (Monday-Friday, 8:30AM-6:00PM; Saturday, 8:30AM-1:00PM)
• Salary Package: Basic Salary + VB + Medical Benefits
• Duration: Permanent

Key Responsibilities

• Prepare full sets of import/export documents (Airway Bill, B/L, Commercial Invoice, Packing List, Delivery Order, etc.).
• Monitor and ensure on-time delivery/receipt of all orders.
• Liaise with customers, suppliers, forwarders, and local transporters.
• Plan and coordinate daily delivery schedules; monitor vessel/flight movements.
• Handle incoming/outgoing goods; verify quantity & quality.
• Perform small packing and deliveries when required.
• Create PSA/Jurong Port import/export documents & GST permits; arrange port entry permits.
• Resolve supply discrepancies; verify invoices; manage stock inventory.
• Send PODs, follow up on signed D/Os, liaise with agents for zero-rated GST.
• Monitor vehicle maintenance; request packing material replenishment.
• Follow up on dispute supplies.
• Participate in ISO & risk management processes.
• Other ad-hoc duties as assigned.

APPLY NOW!!!

• Min. 1 year’s experience in operations/logistics/shipping.
• Knowledge of shipping documents, port procedures & GST rules.
• Strong coordination, communication & problem-solving skills.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #78235 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Responsibilities:

• Coordinate and arrange collection and delivery of ship spares to and from vessels.
• Liaise with customers to understand and support their shipping and logistics requirements.
• Coordinate ground logistics arrangements with third-party service providers.
• Maintain accurate daily records of cargo releases and receipts, and distribute reports accordingly.
• Conduct physical checks on received cargo, including marking and labelling.
• Arrange vessel clearance and support port-call operations with relevant agencies.
• Coordinate with authorities on marine and crew-related applications.
• Work independently with minimal supervision while ensuring tasks are completed on time.

Requirements:

• Willing to work both on-site and in an office environment.
• Prior experience in a marine services or shipping environment is an advantage.
• Strong multitasking ability and a good team player.
• Able to communicate effectively with customers globally.

Kindly email your resume in a comprehensive Word format to jacqueline.goh@talentvue.com.sg
We regret to inform that only shortlisted candidates will be notified.

Please be informed that by applying for the advertised position, the candidate is considered to have given their consent for us to collect, utilize, or disclose their personal information for the purposes related to the services we provide.

Jacqueline Goh
License Number: 22C1430
Registration Number: R1326664

Administrative Assistant (Marine Operations)
Working hours : Monday to Friday (830AM - 530PM), Alt Saturday (830AM-12PM)
Working location: Pioneer (Transport provided in Jurong)
Salary: $1900 -$2100

Job Description:

• Email enquires, preparation of quotations, billing advice, consolidation of operations document
• Maintain communication and relationships with crew
• Verify qualifications and certificates of potential and/or newly recruited crew (STCW, Manning Licence)
• Support deployment schedule planning and update crew manifests, according to crew availability
• Support vessel manning by identifying seafarers who are qualified, experienced and medically fit, in accordance to current regulations and best practices
• Ensure day-to-day administrative tasks
• Assist in the preparation of monthly ISO Objectives and its designated vessels
• Perform reception duty and office routines as assigned from time-to-time
• Follow-up with Client's emails

Qualifications:

• At least GCE 'O' Level / Higher Nitec (Business Management)
• Minimum 2 years of relevant working experience
• Marine Industry is a plus
• Knowledge of MS Office, UBS software – Inventory Control management, accounting, Netiquette

✅Interested personnel kindly send your CV to WhatsApp: https://wa.me/65 88567364(Ethan)

Han Meng Zhuo | Reg No: R25138931

The Supreme HR Advisory Pte Ltd | EA No: 14C7279

Find Out Even More At: https://tinyurl.com/biz-operations-intern-mindflex

Office Location: 28 Sin Ming Lane, Midview City (Bright Hill/Marymount/Bishan MRT)

Quick Apply: You may send your Resume/CV to recruitment@singaporetuitionteachers.com or apply via MyCareersFuture.

Hi! Our company is looking for University/Polytechnic Interns who are able to commit for a Full-Time Internship of 3 Months & Above (longer durations preferred).

About Us:

• MindFlex Education's internship programme aims to provide internships that are fulfilling, as well as practical in real-world situations
• Our office culture is fun and encouraging. We take our work, as well as our play seriously
• We provide full-time job opportunities for interns who have excelled in their internship
• Enjoy a cosy office environment with modern facilities such as a PS5, pool table, karaoke system & more
• Close-knit team of 15-25 pax, strictly no over-time culture, no bring-work-home culture
• Attractive part-time positions ($14/Hour & above) and full-time positions available after completion of internship

Learning Scope:

Client Relations

• Take charge of handling tuition requests via Forms, Social Media Platforms & WhatsApp
• Ask clients the right questions to gather information efficiently
• Address clients' queries and concerns that they might have
• Transfer clients' requirements into a concise job-post format
• Provide after-sales service to clients (and tutors)
• Monthly check-in on existing client base for any feedback, staying connected and maintaining good relations with them

Tutor Relations:

• Broadcasting assignments via automated outreach channels (Email, Telegram, etc.) to our database of 50,000+ tutors
• Apply filters (eg. Location, Tutor Type, Qualifications) to tag each assignment to the correct target audience
• Assist in shortlisting, profiling, and marketing tutors in a way which captures the client's attention based on their needs
• Assist tutors with technical issues & application processing
• Clarification of agency's commission & policies to tutors

Business to Business (B2B):

• Take charge of MindFlex's B2B arm and work with tuition centres, government agencies & educational institutes.
• Schedule interviews (phonecall, online, face-to-face) between tutors and organisations
• Manage confirmation contracts & invoices for clients
• Provide after-sales service to clients (and tutors)

Internal Processes:

• Work with customised back-end software, specially designed to fulfil the company's business needs & improve efficiency
• Maintain cohesive inter-department and intra-department relations, ensure good customer handover between colleagues
• Take charge of designating clients to various teams (traffic control), depending on each team's existing workload
• Maintain an organised record of clients for different departments to contact and follow-up with in future

Other Administrative Or Ad-hoc Tasks Related To Marketing Or Business Development:

• Analyse company's past data, to forecast trends and assist in Business Development plans
• Creation of content and visuals, and organising data to grow the company’s online presence and improve SEO
• Participate in team huddles in strategy building for the company's operations, process streamlining, automation and new revenue streams

Key Takeaways:

• Hone fast-thinking abilities and good decision-making skills
• Build professional communication and customer service skills
• Develop confident problem-solving and mediation skills
• Learn to stay organised, meticulous and calm in a fast-paced environment
• Become an effective team-player and an independent worker
• Witness firsthand how SMEs create their own in-house software and solutions (from conceptualistion to development to usage)
• Deep involvement and familiarisation in both back-end and front-end processes of the company & industry
• Exposure to real-world data and applications, that puts theory into practice
• Last but not least, private mentoring & sharing sessions with company's founders and management (P.S. we love sharing)

Job Requirements:

• Current University/Polytechnic Student, Singaporean/PR
• Good Command of Both Written & Verbal English
• Friendly, Passionate and Energetic Team Player
• Organized and Good Administrative Skills
• Responsible and Strong Work Ethic
• Decent Typing Speed and Computer Skills
• Polite, Patient and Calm Personality

Location & Working Hours:

• Location: Sin Ming Lane, Midview City (Near Bishan/Marymount MRT)
• 4 Weekdays, 1 Weekend, 9.00am - 6.30pm
• (Working days of your choosing & mutually agreed with the company)
• Strictly No Overtime and No Bring-Work-Home Culture

Internship Allowance:

• $1,300/Month

Why Choose Us:

• Fun Company Culture and Working Environment
• Casual Working Attire, Relaxed Setting
• Close-Knit Team of 15-25 Pax
• Office with Modern Facilities (Pool Table, Playstation 5, Karaoke Set, Board Games, etc)
• Company Meals / Outings / Events / Bonding Activities
• Many of our interns have also converted to full-time & contract positions after their internship as they thoroughly enjoyed their learning experience with us
• New Bright Hill MRT at Doorstep

Application:

• Submit an e-mail application with Resume/CV to mindflex.recruitment@gmail.com with Email Title "Internship Application"
• Please ensure to include the following in Email and attached documents:

1. Earliest Available Start-Date for Internship

2. Available Duration for Internship

3. Is Undertaking The Internship for A Course Requirement, or Self-Improvement

Others:

• Shortlisted candidates will be contacted for a short interview over Zoom or Face-to-Face
• Signing of Non-Compete contract will be required upon successful selection

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC South East Asia Consulting helps businesses to work smarter and grow faster. We partner with our clients to build effective organizations, innovate and grow, reduce costs, manage risk and regulation and, leverage talent. Our aim is to support businesses in designing, managing and executing lasting beneficial change.

PwC’s South East Asia Consulting practice provides a comprehensive range of professional services and experience to deliver large scale, cross territory transformation projects, wherever our clients need us to be – from strategy through to execution

About the role

• As a PMO you are expected to visualize and manage the overall project workstream, including planning and overseeing tasks performed by yourself and other team members, and proactively driving project delivery in Global system implementation projects..
• Engage in effective and strategic communication with key project stakeholders to lead the smooth execution of the project.
• Oversee the overall project scope, plans, budgets, and timelines to ensure that company standards and client expectations are met, and to ensure the quality of end-to-end delivery.
• Lead the development of project plans, optimize the allocation and distribution of resources including team members, and drive overall project delivery
• Provide appropriate project status reporting and escalation to internal Senior Managers and Directors, and effectively facilitate and control decision-making processes.
• Lead the preparation of key deliverables such as steering committee materials and other critical reports for clients.
• (Optional) Provide guidance and mentoring to team members (Senior Associates / Associates) and contribute to improving overall team performance.

About you

• Proven work experience as a PMO or Project Manager, with a track record of leading end-to-end project delivery
• At Least 3 years of consulting experience in Finance Industry
• Preferably with experience in banking systems or operations
• Have handled big projects and has exposure handling global projects
• Demonstrated experience in leading effective communication and building relationships with diverse stakeholders, including clients and internal senior management, to drive alignment and consensus
• Experience in managing a team of 2 or more members
• Experience or involvement in proposal development and business development activities is a plus
• Business-level proficiency in English and Japanese to support effective communication with Japanese-speaking internal and external stakeholders

• Position : Warehouse | Logistics Admin Assistant (Operations)
• Location : Tuas South (Company Transport Provided: Pickup at Boon Lay MRT and drop off at Joo Koon MRT)
• Working hours : 5 days | Mon - Fri 7:30am - 4:45pm
• Salary (commensurate with experience) : Up to $2,000 Basic + $70 Allowance + 14 Days Annual Leave + Birthday Leave + AWS + Variable Bonus
• Duration : Permanent
• Industry : FMCG Distributor

Main Responsibilities:

• Pick, pack, load and unload goods safely
• Receive, sort and store incoming shipments (WMS)
• Prepare and stage outbound shipments
• Perform inventory checks and report discrepancies
• Maintain cleanliness and follow safety procedures

Requirements:

• Atleast 1 year of relevant experience
• Familiar with warehouse systems / handheld scanner preferred
• Immediate starter is a plus

Email to: michelle@searchpersonnel.com.sg for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Michelle Ee

Consulting Manager (APAC)

Reg no.: R2093254

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

• Assume full accountability for the day-to-day performance and upkeep of the shopping centre, ensuring operational reliability and service excellence.
• Establish, review, and enforce security protocols, emergency procedures, and business continuity plans in alignment with regulatory and corporate governance requirements.
• Take charge of parking facilities performance, focusing on operational efficiency, safety governance, user experience enhancement, and yield improvement.
• Champion Workplace Safety & Health (WSH) standards through structured risk assessments, policy implementation, and compliance monitoring.

Requirements:

• Degree in Facility Management, Environmental Science, or a related discipline.
• At least 5 years’ operational management exposure within large-scale retail or commercial developments.
• Strong knowledge of building systems, security management, environmental sustainability, and regulatory frameworks.
• Experienced in tender management (RFP/ITQ), contract negotiation, and vendor performance management.
• Effective communicator with strong leadership, stakeholder engagement, and problem-solving capabilities.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Responsibilities

1. Event Planning & Coordination

• Plan, organize, and execute events (corporate functions, institutional catering, internal events)
• Liaise with clients to understand requirements, objectives, and expectations
• Prepare event proposals, timelines, and detailed execution plans
• Coordinate end-to-end event logistics from setup to teardown

2. Client Management

• Serve as the main point of contact for clients before, during, and after events
• Provide professional advice on menu selection, setup, and event flow
• Ensure high level of customer satisfaction and handle feedback or complaints promptly

3. Operations & Logistics Coordination

• Work closely with kitchen, logistics, and operations teams to ensure smooth execution
• Coordinate manpower deployment, delivery schedules, and on-site setup
• Ensure all equipment, food, and materials are prepared and delivered on time

4. On-Site Event Execution

• Oversee on-site event setup and ensure alignment with client expectations
• Troubleshoot operational issues in real-time and ensure minimal disruption
• Ensure service standards, hygiene, and presentation are maintained

5. Vendor & Stakeholder Coordination

• Liaise with external vendors (e.g. equipment rental, décor, transport)
• Ensure vendors meet service standards, timelines, and cost expectations
• Manage procurement requests related to events

6. Documentation & Reporting

• Prepare quotations, event orders, and post-event reports
• Track event budgets, costs, and profitability
• Maintain proper documentation and records for all events

Requirements

• Diploma / Degree in Hospitality, Events Management, Business, or related field
• Minimum 2–4 years of experience in event planning, catering, or F&B operations
• Strong organizational and project management skills
• Excellent communication and interpersonal skills
• Ability to work in a fast-paced, operational environment
• Hands-on and willing to be on-site for event execution (including weekends/public holidays if required)
• Strong problem-solving skills and ability to handle last-minute changes
• Proficient in Microsoft Office (Excel, PowerPoint, Word)

Job Description

• Provide administrative support to daily operations work
• Administer Order Processing duties, including data entry and updating of records to system
• Assist in the planning and scheduling of measurement and installation works based on existing procedures and customer requirements
• Coordinate with relevant Departments in daily deployment of trucks and drivers
• Assist in Vehicle Scheduling
• Prepare drawings with/without using CAD software
• Coordinate between different departments and sub-contractors to ensure order fulfilment and proper documentation and billing
• Prepare full of documents including costing before passing over to other departments for processing
• Perform verification of sub-contractor billings
• Handle office administrative work like filing and scanning
• All other job duties as assigned

Job Requirements

• Possess at least a secondary school GCE “O” level or Diploma equivalent
• At least 1 – 2 year(s) of working experience in admin co-ordination
• Able to work independently under minimum supervision
• Able to work in a fast-paced environment with deadlines
• Proficient in Microsoft Office (Excel, Outlook) and Google Sheets
• Comfortable with Numbers and Technical Drawings
• Familiarity with Singapore roads will be an advantage

COMPANY DESCRIPTION

We are one of the largest one-stop Underground Utilities Infrastructure companies based in Singapore. We provide Underground Utilities Infrastructure construction and maintenance, sewer pipeline rehabilitation, road and airfield construction and maintenance as well as asphalt pre-mix production and construction waste recycling.

RESPONSIBILITIES

We are seeking a dedicated and proactive Operations Supervisor cum Pavement Supervisor to oversee our pavement and utilities projects. This dual-role position plays a critical part in ensuring that site operations are executed efficiently, safely, and in accordance with project specifications.

You will serve as the key liaison between project teams and site personnel, coordinating daily activities to drive productivity while upholding the highest standards of quality, safety, and regulatory compliance. The ideal candidate is hands-on, detail-oriented, and capable of managing multiple site functions effectively to ensure smooth project delivery.

Job Description

• To be responsible for the daily operation of work sites, lead, manage and motivate designated teams to achieve effective and efficient performance.
• Maximizing capacity of workers and productivity and usage of materials as well as ensuring safety of employees.
• Build and enhance relationship with clients, consultants and relevant project stakeholders.
• Control project cost and update project status to Construction Manager.
• Work closely and diligently with project team and Client to plan and arrange necessary resources to carry out the work as planned.
• Liaise with Client to update the daily/weekly progression of work.
• Ensure all legal and regulatory documents are properly filed and monitor compliance with laws and regulations in Singapore.
• Work with Construction Manager to determine the strengths and weaknesses of each member of the assigned teams and guide them to achieve their best performance
• Identify the site issues proactively and discuss with Construction Manager and project team to mitigate them effectively.
• To be responsible for operational supervision of work sites; ensuring safety of workers and completion of project.
• Review the site condition and discuss with project team to develop the traffic control plan (TCP) and ensure the TCP has been implemented on site as per the approved drawings.
• Ensure the sufficient resources and materials are available on site to execute the works as planned without any interruption.
• Perform any other duties assigned by the Head of Department or senior management in line with business needs.

• Diploma or higher qualification in Civil Engineering or a related discipline.
• Minimum 1to 2 years of experience in Operations Supervisor role in utilities projects.
• Possession of certificate in Pavement Construction and Maintenance.
• Able to work independently in a fast paced environment and able to handle multi-task and ad-hoc assignments.
• Possession of a valid Class 2 or Class 3 driving licence will be an added advantage to support site mobility.

• Work Schedule: 6-day work week.
• Location: Office at No. 3 Sungei Kadut Drive, Singapore 729556 (North Singapore)

Employee Benefits:

• Transportation:
• Enjoy a company-provided shuttle for easy transportation available from Woodlands and Kranji MRT Stations to the office for your convenience
• Company-provided lunch bus for easy access to meals.
• Annual Leave:
• 14 days of annual leave, with additional leave based on tenure.
• Telecommunication:
• Exclusive sign-up benefits under our Corporate Telecommunication Scheme for personal plans.
• Healthcare:
• Access to Medical Teleconsultation services for quick, easy healthcare consultations.
• Comprehensive medical benefits including dental care and health screenings.
• Portable Medical Benefit Scheme (PMBS): Monthly contributions to your Medisave account for long-term healthcare security.

Why Join Us?

• Build the Future: Deliver high-impact civil engineering projects that transform communities
• Grow with Us: Opportunities for career progression and continuous skill development.
• Innovate & Solve: Tackle complex challenges with cutting-edge solutions.
• Collaborative Team: Work in a supportive, idea-driven environment.
• Legacy of Impact: Create tangible value through infrastructure that lasts.

Job Description

• Industry/ Organization Type: Engineering/Manufacturing
• Position Title: Team Supervisor (Site Operations)
• Working Location: Kallang
• Working Hours: 5 days (Mon – Fri, 8.30 am – 6.30 pm)
• Salary Package: Basic salary $4,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Ensure accurate daily tracking of worker attendance, including clock-in and clock-out times.
• Provide strong leadership and guidance to the team of workers, ensuring smooth and efficient operations on the customer site.
• Assign tasks and duties based on individual team members' strengths and project requirements to optimize productivity.
• Communicate job roles, expectations, and deadlines clearly to all team members, ensuring they understand their responsibilities.
• Motivate and encourage the team to meet and exceed productivity targets while maintaining high morale within the group.
• Oversee and monitor the quality of work performed by team members to ensure customer satisfaction and adherence to company standards.
• Act as the primary contact for resolving any conflicts or issues among team members or with customers, ensuring a positive work environment.
• Address disputes quickly and fairly, promoting harmony within the team. Escalate major concerns to upper management when necessary, while proposing practical solutions.
• Ensure the availability of necessary tools, equipment, and resources for the team to perform their duties efficiently.
• Execute any new assignments as directed by the superior, adjusting to the needs of the project or operations.

APPLY NOW!!! 

• NITEC or Diploma qualification in an engineering-related field
• Proven experience in a supervisory or engineering role, preferably in a similar setting.
• Strong leadership skills with the ability to manage and motivate a team effectively.
• Excellent communication skills to clearly convey expectations and resolve conflicts.
• Good organizational and problem-solving abilities to ensure smooth workflow and timely task completion.
• Ability to work independently and escalate issues to upper management when necessary.

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #69544 on the email subject.

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Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

The Smart Manufacturing and AI team at Micron Technology is looking for GPU Performance Engineer. Our mission is to deliver industry-winning machine learning, custom GenAI, and Agentic AI solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable data pipelines to execute machine learning models and AI agents. You will collaborate with Data Scientists, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities include, but not limited to:

• Architect and execute large-scale custom model training and fine-tuning jobs (SFT, RLHF) on multi-node, multi-GPU clusters.

• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron-LM) and mixed-precision techniques (FP16/BF16).

• Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows.

• Analyze and profile complex workloads (e.g., LLM training, Rendering pipelines) to identify bottlenecks in compute, memory bandwidth, and latency.

• Write and optimize high-performance kernels using CUDA, HIP, or custom assembly (PTX/SASS) to unlock hardware capabilities.

• Collaborate with Hardware Architects to define features for next-generation GPUs based on workload characterization.

• Design and implement performance regression testing suites to catch degradations in drivers or compilers.

• Mentor junior engineers on parallel programming paradigms and optimization techniques.

Education Qualifications:

• Technical Degree required. Ph.D. in Computer Science or Statistics background highly desired.

Minimum Qualifications:

• Deep understanding of GPU architecture (memory hierarchy, tensor cores, interconnects like NVLink) and experience managing GPU resources in both cloud environments and on-prem.

• Hands-on experience with Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), and model parallelism techniques.

• Proficiency in fine-tuning Large Language Models using PEFT techniques (LoRA, QLoRA) and optimizing inference engines (vLLM, TensorRT-LLM).

• Experience developing GenAI applications and AI Agents using frameworks like LangChain, LangGraph, LlamaIndex, or AutoGen.

• Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning.

• Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models.

• Familiarity with machine learning frameworks (PyTorch is required, TensorFlow, scikit-learn, etc.).

• Software development skills and the desire to work on cutting edge development in a Cloud environment.

• Strong scripting and programming skills in one of the following, Python or Java (Python preferred).

• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes).

• 9+ years of experience in performance optimization, parallel computing, or low-level systems programming.

• Deep expertise in C++ and at least one GPGPU framework (CUDA is preferred, but HIP/OpenCL/Metal are acceptable).

• Outstanding analytical thinking, interpersonal, oral and written communication skills.

• Ability to prioritize and meet critical project timelines in a fast-paced environment.

Preferred:

• Experience with HPC job schedulers (e.g., Slurm) or orchestrating GPU workloads on Kubernetes (Ray, KubeFlow).

• Knowledge of lower-level optimization (CUDA programming, Triton kernels, or custom C++ extensions for PyTorch).

• Experience with Multi-Agent Systems and orchestrating collaboration between specialized agents.

• Deep knowledge of math, probability, statistics and algorithms.

• Demonstrated ability to study and transform data science prototypes into production solutions.

• Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.
  

  In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer (Member of Technical Staff | MTS).

Our mission is to deliver industry-winning machine learning, custom GenAI, and Agentic AI solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable data pipelines to execute machine learning models and AI agents. You will collaborate with Data Scientists, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities include, but not limited to:

• Architect and execute large-scale custom model training and fine-tuning jobs (SFT, RLHF) on multi-node, multi-GPU clusters.

• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron-LM) and mixed-precision techniques (FP16/BF16).

• Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows.

• Implement Agentic frameworks (e.g., LangChain, LangGraph, CrewAI) to orchestrate LLM interactions with internal APIs, databases, and software tools.

• Profile and debug GPU performance bottlenecks using tools like Nsight Systems or PyTorch Profiler to maximize hardware utilization.

• Build and maintain data/solution pipelines that feed machine learning models and GenAI applications.

• Design and optimize data structures in data management systems (Snowflake, and Google Cloud platforms) to enable AI/ML and Agentic solutions.

• Create/Maintain CI/CD pipelines of machine learning and AI Agent solutions in the cloud.

Education Qualifications:

• Technical Degree required. Computer Science or Statistics background highly desired.

Minimum Qualifications:

• Deep understanding of GPU architecture (memory hierarchy, tensor cores, interconnects like NVLink) and experience managing GPU resources in both cloud environments and on-prem.

• Hands-on experience with Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), and model parallelism techniques.

• Proficiency in fine-tuning Large Language Models using PEFT techniques (LoRA, QLoRA) and optimizing inference engines (vLLM, TensorRT-LLM).

• Experience developing GenAI applications and AI Agents using frameworks like LangChain, LangGraph, LlamaIndex, or AutoGen.

• Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning.

• Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models.

• Familiarity with machine learning frameworks (PyTorch is required, TensorFlow, scikit-learn, etc.).

• Software development skills and the desire to work on cutting edge development in a Cloud environment.

• Strong scripting and programming skills in one of the following, Python or Java (Python preferred).

• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes).

• 10+ years building scalable ETL pipelines.

• 10+ years of experience with big data processing and/or developing applications and data sources.

• Outstanding analytical thinking, interpersonal, oral and written communication skills.

• Ability to prioritize and meet critical project timelines in a fast-paced environment.

Preferred:

• Experience with HPC job schedulers (e.g., Slurm) or orchestrating GPU workloads on Kubernetes (Ray, KubeFlow).

• Knowledge of lower-level optimization (CUDA programming, Triton kernels, or custom C++ extensions for PyTorch).

• Experience with Multi-Agent Systems and orchestrating collaboration between specialized agents.

• Deep knowledge of math, probability, statistics and algorithms.

• Demonstrated ability to study and transform data science prototypes into production solutions.

• Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.

As a SMAI (Smart Manufacturing AI) Global OI (Operations Intelligence) – Scheduling and Simulation, Data Scientist, at Micron Technology, Inc., you will be part of Micron’s Smart Manufacturing Team comprised of world class talent to design and implement advanced scheduling, optimization, and simulation solutions that drive global innovation and maximize fab performance.

You will be located in Singapore. You will be partnering with different departments and the global network of manufacturing sites to enable breakthrough solutions in the business. If you possess a growth mindset and are passionate about providing intelligent and autonomous manufacturing solutions, join us as we evolve the way Micron does our business!

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.

• Develop high-quality data analytics and applications that provide actionable insights for management and manufacturing teams.

• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.

• Collaborate across global sites to identify opportunities and deliver holistic solutions to drive continuous improvement in production metrics.

• Drive global alignment and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.

• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.

• Master’s/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Data Science or other quantitative disciplines with strong emphasis on optimization, simulation, and algorithmic problem-solving.

• Minimum 5 years of hands-on or experience in factory scheduling, optimization modeling, or simulation in a manufacturing or operations context.

• Knowledge and experience in optimization (LP, MIP, meta-heuristics) and tools like CPLEX/Gurobi strongly preferred.

• Knowledge and experience in discrete event simulation and reinforcement learning preferred.

• Direct experience with factory scheduling preferred.

• Able and willing to travel overseas

Responsibilities and Task

• Production Planning Optimization: Collaborate with domain experts to translate complex production planning problems (e.g., resource allocation, capacity planning) into AI/ML and Agentic solutions.

• Agentic AI Development:

• Design and implement multi-agent systems for Assembly and Test Planning and Operation.

• Build agent orchestration frameworks that coordinate multiple specialized agents (planning, scheduling, resource allocation, quality control).

• Implement tool-using capabilities, function calling, and agent memory systems.

• Implement comprehensive monitoring, logging and observability for agentic systems.

• RAG-LLM Development

• Identify potential data sources for RAG implementation.

• Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.

• Productionalization & Engineering

• Develop and maintain comprehensive unit tests for all code components.

• Implement guardrails, hallucination detection, and output validation.

• Optimize system performance, latency, token and cost efficiency.

• Mentorship: Guide and mentor junior data scientists, driving best practices in code quality, system architecture and applied AI research.

Required Qualifications & Skills

• Education/Experience:

• Master’s or Ph.D. in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.

• 5+ years of industry experience in Data Science. Proven track record in data science methodologies, machine learning, and statistical modeling, with hands-on experience in Generative AI/LLM projects.

• Technical Skills:

• Proficiency in Python, with strong knowledge of LLM, Agents, Machine Learning and Statistical Techniques.

• Familiarity with building streamlit, dashboards, and API.

• Project experience in AGILE, Software Development Lifecycle, JIRA, Change management, Release management and Configuration Management.

• Technologies:

• Google Cloud Platform, Git, Bitbucket.

• Data visualization tools (Streamlit, Tableau, Power BI, etc..)

• Docker, Containerization, Kubernetes.

• Soft Skills:

• Excellent communication skills (written and verbal) and stakeholder management.

• Ability to work multi-functionally with peers, senior and mid-level management.

• Strong problem solving skills with structured and logic approaches.

• Highly organized and adaptable to changing business needs.

Preferred Qualifications

• At least 2 years focused on Generative AI, or LLM applications. Prior experience in building agentic system is highly desirable.

• Knowledge of semiconductor manufacturing and planning processes and systems (e.g., MES, SAP), with experience in resource optimization or line management considered an advantage.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer (Principal Engineer).

Our mission is to deliver industry-winning machine learning, custom GenAI, and Agentic AI solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable data pipelines to execute machine learning models and AI agents. You will collaborate with Data Scientists, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities include, but not limited to:

• Architect and execute large-scale custom model training and fine-tuning jobs (SFT, RLHF) on multi-node, multi-GPU clusters.

• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron-LM) and mixed-precision techniques (FP16/BF16).

• Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows.

• Implement Agentic frameworks (e.g., LangChain, LangGraph, CrewAI) to orchestrate LLM interactions with internal APIs, databases, and software tools.

• Profile and debug GPU performance bottlenecks using tools like Nsight Systems or PyTorch Profiler to maximize hardware utilization.

• Build and maintain data/solution pipelines that feed machine learning models and GenAI applications.

• Design and optimize data structures in data management systems (Snowflake, and Google Cloud platforms) to enable AI/ML and Agentic solutions.

• Create/Maintain CI/CD pipelines of machine learning and AI Agent solutions in the cloud.

Education Qualifications:

• Technical Degree required. Computer Science or Statistics background highly desired.

Minimum Qualifications:

• Deep understanding of GPU architecture (memory hierarchy, tensor cores, interconnects like NVLink) and experience managing GPU resources in both cloud environments and on-prem.

• Hands-on experience with Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), and model parallelism techniques.

• Proficiency in fine-tuning Large Language Models using PEFT techniques (LoRA, QLoRA) and optimizing inference engines (vLLM, TensorRT-LLM).

• Experience developing GenAI applications and AI Agents using frameworks like LangChain, LangGraph, LlamaIndex, or AutoGen.

• Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning.

• Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models.

• Familiarity with machine learning frameworks (PyTorch is required, TensorFlow, scikit-learn, etc.).

• Software development skills and the desire to work on cutting edge development in a Cloud environment.

• Strong scripting and programming skills in one of the following, Python or Java (Python preferred).

• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes).

• 9+ years building scalable ETL pipelines.

• 9+ years of experience with big data processing and/or developing applications and data sources.

• Outstanding analytical thinking, interpersonal, oral and written communication skills.

• Ability to prioritize and meet critical project timelines in a fast-paced environment.

Preferred:

• Experience with HPC job schedulers (e.g., Slurm) or orchestrating GPU workloads on Kubernetes (Ray, KubeFlow).

• Knowledge of lower-level optimization (CUDA programming, Triton kernels, or custom C++ extensions for PyTorch).

• Experience with Multi-Agent Systems and orchestrating collaboration between specialized agents.

• Deep knowledge of math, probability, statistics and algorithms.

• Demonstrated ability to study and transform data science prototypes into production solutions.

• Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction.
  

  In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments.

Responsibilities:

• Build and maintain data/solution pipelines that ingested and match the new requirements, with AI support to accelerate data onboarding and quality checks.

• Work in a technical team through development, deployment, and application of preparing, and optimizing the developing and growing Micron’s methods and systems for extracting new insight for expanding data streams, driving AI-enabled analytics at scale.

• Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data. 

• Design and optimize data structures in data management systems (Snowflake, and Google Cloud Platform) to enable Smart Manufacturing AI solutions, supporting AI-driven workloads and performance.

• Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model. 

• Build custom software components and analytics applications, with AI support to enhance intelligence and automation.

• Create/Maintain CI/CD pipelines of data engineering solutions in the cloud, driving AI-informed testing, monitoring, and release automation.

• Use AI to complete work more efficiently, empowering AI applications and teams to achieve faster, smarter outcomes.

Qualifications & Skills:

• Experience developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions. 

• Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.) 

• Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake, GCP Big Query or any Equivalent Data Warehouse. 

• Significant experience with big data processing and/or developing applications and data sources via Hadoop, Yarn, Hive, Pig, Sqoop, MapReduce, HBASE, Flume, etc. 

• Understanding of how distributed systems work. 

• Familiarity with software architecture (data structures, data schemas, etc.) 

• Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL. 

• Strong mathematics background, analytical, problem solving, and organizational skills. 

• Knowledge in building APIs for application integration

• Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model

• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)

• Outstanding analytical thinking, interpersonal, oral and written communication skills

• Ability to prioritize and meet critical project timelines in a fast-paced environment

• Self-motivated and team oriented

Education and Experience:

• B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or related field of study. M.S. degree preferred.  

• Minimum of 3 years’ experience in any of the following: At least one high-level client, object-oriented language (e.g., C#, C++, JAVA, Python, Perl, etc.) at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.) one or more Data Extraction Tools (SSIS, Informatica/Apache Nifi or equivalent etc.)

• Software development skills and the desire to work on cutting edge development in a Cloud environment

• Ability to travel as needed 
  

  Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environment. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.

As a Senior Data Scientist in Micron’s SMAI AT OI team, you will own and sustain MAS (Micron Advanced Scheduler) for backend AT operations and serve as the subject matter expert (SME) for factory scheduling systems. You will lead deployment strategy, governance, and process alignment with IT, while guiding sites to develop area-level SMEs. This role blends product/process ownership with deep technical leadership to ensure robust, scalable scheduling solutions across sites.
You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Define and execute the MAS roadmap for backend AT; own ARCI, change control, and version/golden-copy management.

• Partner with IT on release pipelines, environment readiness, risk mitigation, and incident management.

• Translate business objectives into clear specifications and user stories; prioritize backlog and drive adoption (super-user enablement).

• Design, optimize, and sustain MAS scheduling logic (dispatching, Q-time controls, line-prioritization); lead L2/L3 troubleshooting in production.

• Develop robust solutions using C#, Python, and SQL; implement data packages for flow & demand.

• Build validation tooling and dashboards; perform release KPI checks and performance tuning.

• Integrate with simulation/heuristics engines and coordinate cross-team integration tests.

• Act as the MAS SME and guide sites to build area-level SMEs (examples above; not limited to these) via OJT, documentation, and BKM capture.

• Track KPIs/ROI; communicate progress, risks, and strategic recommendations to sponsors and leadership; maintain decision logs.

• Education and Experience Required:

• Bachelor’s/Master’s in Industrial Engineering, Operations Research, Computer Science, Data Science, or related discipline.

• 5+ years in semiconductor manufacturing systems with fab or post-wafer finishing experience.

• Programming: Proficient in C#, Python, and SQL.

• Development Environment & DevOps: Visual Studio, Git, Azure DevOps; CI/CD familiarity.

• Data & Analytics: Snowflake (preferred), Tableau/Power BI (preferred); GCP exposure a plus; JavaScript for UI a plus.

• Optimization & OR: Experience with CPLEX/Gurobi and optimization methods; knowledge of machine learning/deep learning/reinforcement learning a plus.

• Scheduling & Simulation: Direct experience with factory scheduling, simulation, and application development.

• MES & Automation: Strong understanding of MES concepts, equipment automation (e.g., tool interfaces/AMHS/SCADA), and manufacturing data flows.

• Proven ability to lead cross-functional teams, influence stakeholders, and drive global alignment.

• Excellent communication; structured problem-solving; willingness to travel and support multi-site initiatives.

As a SMAI (Smart Manufacturing AI) Global OI (Operations Intelligence) – Scheduling and Simulation, Principal Data Scientist, at Micron Technology, Inc., you will be a key technical leader within Micron’s Smart Manufacturing Team comprised of world class talent to design and implement advanced scheduling, optimization, and simulation solutions that drive global innovation and maximize fab performance.

You will be located in Singapore. In this role, you will serve as a thought leader and technical authority, shaping the long-term vision and strategy for intelligent manufacturing operations. You will influence senior leaders and drive cross-functional innovation. If you are passionate about pushing the frontier of intelligent and autonomous manufacturing solutions and thrive in a high-impact, globally connected environment, join us as we evolve the way Micron does our business!

Responsibilities

• Define and own the technical roadmap of smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation at global scale that enable the achievement of industry leading manufacturing capability.

• Architect and deliver enterprise-grade scheduling solutions for semiconductor manufacturing, integrating optimization, discrete event simulation, and reinforcement learning into production systems

• Develop high-quality data analytics and applications that provide actionable insights for management and manufacturing teams.

• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.

• Collaborate across global sites to identify opportunities and deliver holistic solutions to drive continuous improvement in production metrics.

• Drive global alignment and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.

• Ph.D. preferred in Industrial Engineering, Operations Research, Computer Science, Data Science, or a closely related quantitative discipline. Master's degree with exceptional industry experience will be considered.

• Minimum 10 years of hands-on experience in factory scheduling, optimization modeling, and discrete event simulation.

• Demonstrated track record of leading and delivering large-scale, production-deployed optimization or simulation systems with measurable operational impact

• Expert-level knowledge in optimization (LP, MIP, meta-heuristics) with deep proficiency with solvers such as CPLEX/Gurobi.

• Strong applied knowledge in discrete event simulation and reinforcement learning.

• Direct experience with factory scheduling is highly preferred.

• Exceptional executive communication skills — able to present complex technical concepts clearly to both technical and non-technical senior audiences.

• Able and willing to travel overseas for global site engagement and collaboration.

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

• Interact with product and service teams to identify questions and issues for data analysis and experiments.

• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.

• Identify meaningful insights from large data and metadata sources.

• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.

• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.

• Drive global collaboration, alignment, and benchmarking of optimization and simulation solutions in planning & operations

Minimum Qualifications & Skills Required:

• Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Operations Research or equivalent with demonstrated strong programming and modeling capabilities.

• Past experience in semiconductor industry, especially in semiconductor operations digital twin

• Working experience in semiconductor or manufacturing operations simulation modeling using discrete event simulation

• Working experience in optimization modeling or Operations Research using sing mix integer programming, linear programming, etc.

• Knowledge and past experience with cloud solutions, API, GIT, ETL

• 3+ years of past experience in JAVA, Python, SQL, HTML, C/C++, CSS, and with demonstrated fast learning capacities in programing languages

• Strong problem solving skills with structured & logic approaches, clear & effective communication skills
  

  Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Location: Central Region
Salary: $3000 - $4000
Working days: 4-5-4-5 days in rotation including PH, 10 off days per month
Working hours: 10.30am to 9.45pm with 2 breaks

Responsibilities:

• Selling of gold jewellery, diamonds, and luxury goods
• Attend to customers enquires and feedback
• Provide excellent customer service and assistance to customers
• Offer advice and guidance on product selections
• Manage point-of-sale processes
• Maintain good store condition and visual merchandising standards

Requirements:

• Must be willing to work on retail hours, weekend and public holiday
• Keen in jewellery industry
  
  

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The Supreme HR Advisory Pte Ltd

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