Total 15,279 job vacancies in Singapore

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.

• 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)

• 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.

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

Job Summary and Key Objectives:

- To provide a good technical service support to customers to achieve company’s goals and objective and supporting company’s business growth plans.  

Key Responsibilities: 

- Travel to customer site to perform installation, commissioning, field retrofit, calibration, preventive maintenance, troubleshoot and repairs of company products. 

- Creating quotes (Spare Parts/Service) and follow up with order entry and delivery.

- Submit warranty claims to headquarters.

- Prepare and submit service report to customer on-site. Prepare and submit technical documents such as commissioning/Installation reports, calibration reports, preventive maintenance reports to customers.

- Able to work with Sales team to support for some sales activities when required. 

- Timely report to Service Manager on all service activities situation and updates. 

- This is a role that requires candidate to be self-orientated and independent. 

- Able to handle customer questions relating to technical and service problems with tactful manner and courtesy. And thus, built good rapport with customers. 

Requirements: 

- Candidate must possess at a Diploma/Degree in Engineering (Electrical/Electronic), Engineering (Mechanical) or equivalent.

- Minimum 2- 3 Year(s) of working experience in the related field is preferred, though fresh graduates will also be considered.

- Required Skill(s): Computer, Microsoft Office, CRM system.

- Able to travel Overseas and on short notice occasionally.

- Preferably specialized in Field Service for SMT and Semiconductor Equipment/Machinery. 

- Able to interpret electrical circuit diagram.

- Willing to work on standby mode by rotations. 

- Able to work hands-on and familiar to work in machinery SMT/clean-room environment.

- Local/Overseas Training will be provided. 

• Assist and report to the Project Manager at site.
• Ensure works are carried out according to the approved technical drawings, quality procedures, ISO and EHS requirements.
• Maintain proper documentations to comply with client's and authorities’ requirements.
• Handle matters assigned for the execution of the project.

EA: 16C7962

Job Description:

Site Engineer reports to Site Manager and is responsible forthe below:

• Support the creation of detailed construction plan,contributing to the sequencing and methodology discussion.

• Drive site work ensuring productivity, safety and qualitygoals are achieved.

• Prepare construction equipment loading chart and assist inits updates as necessary.

• Understand Project Safety Requirements, together with HSECoordinator/Officer and inputs from SM to prepare RA after taking dueconsideration for safety, constructability & productivity

• Prepare, update and revise Detailed MTO (MaterialTake-Off) based on actual site measurements of latest IFC drawings.

• Evaluate and plan the scaffolding needs for new as well asmodification based on evolving site needs

• Prepare Level 5 micro-schedule to enable 02 Wk 4Mlook-ahead

• Prepare and update Regular Site reports and ProjectForecast.

• Attend daily toolbox meeting and support Pre-task talk bySupervisor to disseminate work plan for the day

• Coordinate work sequence with other trade partnersengineers especially those predecent, concurrent and subsequent trade partnersto minimise clashes and ensure continuous workfront

• Coordinate with Procurement for material delivery schedulebased on 4M micro schedule

• Drive the closure of punch lists and the completion ofnecessary documentation, ensuring that items are resolved in a timely manner.

• Support Supervisor to conduct pneumatic testing and traceleaks and conduct leak

repairs, hydrotest followed by flushing and passivation

• Oversee the completion of reinstatement works and ensurethat any remaining punch

list items are cleared, leading to project closure.

Job Description & Requirements

Assist in preparation and submission of engineering design and documents by following construction plan and drawings Oversee construction activities, progress, planning and implementation according to project timeline.

Monitor and adhere to work schedule, work progress and project costing

make recommendation for effective project management Monitor materials delivery and usage

Working together with the safety team to ensure overall site safety

To assist the project engineer, general contractors and the rest of the team for the execution of contracts progress

To coordinate with clients, consultants, subcontractors to ensure timely delivery of work schedule

To assist Project Engineer on all other project administrative matters.

Proficient in Rebar casting and Steel Structures Make sure projects meet authorities requirements.

Prepare day to day report on work progress and update the management

Job Requirements:

Possess at least Diploma / Degree in Civil, Electrical, Mechanical Engineering or equivalent

Preferable with minimum 2 years of working experience in construction industry.

Possess relevant safety certificates

Ability to work independently and under pressure to meet tight project schedules.

Willing to travel & based at the project site if necessary Able to work long hours, night works, overtime and Sunday work if required

Engineers design, build, test, and maintain systems, structures, and machines using scientific and mathematical principles

. Core responsibilities include defining project requirements, creating technical blueprints (CAD/CAM), troubleshooting malfunctions, optimizing production efficiency, ensuring safety compliance, and managing resources within budget constraints

• • Work closely with customers to develop designs, calculate constructions, and select appropriate installation equipment and systems.
  • Serve as lead (primary responsible) Engineer on projects as assigned.
  • Perform routine inspection of all equipment and components, and assist in fabrication if needed.
  • Evaluate all design drawings according to required quality regulations.
  • Responsible for performing quality assurance reviews on projects.
  • Drafting technical documentation.
  • Providing training and mentoring to junior engineering staff.
  • Provide technical support for fabrication and field operations.
  • Other duties or projects as required or assigned.

Engineers

design, build, test, and maintain systems, structures, and machines using scientific and mathematical principles

. Core responsibilities include defining project requirements, creating technical blueprints (CAD/CAM), troubleshooting malfunctions, optimizing production efficiency, ensuring safety compliance, and managing resources within budget constraints

job description

Roles and Responsibilities

· Responsible for the inspection and testing of electric power construction and electric machinery installation and electric equipment and mechanical equipment

· Responsible for the implementation, structural analysis, modification and testing of electrical construction and electrical mechanical installation based on the overall system specification

· Responsible for all stages from electrical construction and electrical mechanical installation with proper record keeping

· Create and maintain bill of materials; per owner assembly guidelines and requirements

· Provide expert technical support to our field engineers and customers during critical customer evaluations (occasional international travel may be required)

Work requirements

· Advanced Professional Diploma in Electrical, Mechanical and Mechatronics Engineering

· Five years or more relevant work experience

· Ability to research and analyze designs, specifications, manuals and other data to assess design feasibility, cost and requirements

· Strong analytical and problem-solving skills

· Good communication and interpersonal skills

Job Description:

1. Assist in designing, developing, reviewing, updating, modifying, coordinating of M&E works in building services.

2. View project drawings and technical specifications.

3. Require strong knowledge of mechanical & electrical components, including the ability to analyzing mechanical & electrical drawings, cabling connection and etc.

4. Monitor and ensure smooth implementation of projects.

5. Attend/conduct project meeting, site supervision and inspection and witnessing and commissioning carried out to the systems by contractors. Liaising with clients and other engineers to ensure projects are completed to specifications.

Attending to site inspections with client upon completion for handling over to client.

Requirements:

1. Candidates must possess at least a Bachelor's Degree in Mechanical / Electrical Services’s Engineering or equivalent.

2. Minimum 8 years experience

3. Experience with building projects in construction industry

4. Required Skill: AutoCAD, Revit MEP, Electrical Testing & Commissioning, Electrical Design and Calculation

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.

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.

Company Profile

Join one of Singapore’s leading academic health systems, recognised for its excellence in healthcare, research, and education. The organisation has been ranked among The Straits Times’ Best Employers and listed in the Top 10 of Singapore’s Leading Employer Awards, reflecting its strong commitment to employee growth and engagement.

With a people-first culture, they are dedicated to staff development and workplace well-being. You can look forward to a meaningful career with an organisation that values innovation, compassion, and excellence in advancing health for the community.

Location: West or Central

Working Hours: 5.5 days (Mon to Fri and Half Sat), Office Hours

Key Responsibilities

• Support the management team in coordinating and planning daily clinic operations to ensure smooth workflow and service delivery
• Optimize manpower and resource utilization to achieve operational efficiency and cost-effectiveness
• Oversee administrative functions including staff scheduling, patient flow management, inventory control, and facility operations
• Collaborate with multidisciplinary teams (clinical, nursing, allied health, diagnostics, and support services) to ensure seamless patient care
• Drive and support the implementation of new healthcare initiatives, programmes, and service improvements
• Participate in planning and executing strategies to enhance work processes, service quality, and operational performance
• Contribute to cross-functional projects such as manpower planning, staff training and development, digital transformation, workflow optimization, and new facility development
• Support emergency planning and operational readiness initiatives
• Promote a culture of service excellence, continuous improvement, and patient-centred care

Requirements

• Possess a Bachelor’s Degree in any discipline
• Min. 2-3 years experience in handling daily clinic operations in a supervisory role
• Good critical thinking and problem-solving abilities
• Resilient, adaptable, and able to multitask in a fast-paced environment
• Positive attitude with a proactive and dynamic approach to work
• Willingness to work a 5.5-day work week

Company Profile

Join one of Singapore’s leading academic health systems, recognised for its excellence in healthcare, research, and education. The organisation has been ranked among The Straits Times’ Best Employers and listed in the Top 10 of Singapore’s Leading Employer Awards, reflecting its strong commitment to employee growth and engagement.

With a people-first culture, they are dedicated to staff development and workplace well-being. You can look forward to a meaningful career with an organisation that values innovation, compassion, and excellence in advancing health for the community.

Location: West or Central

Working Hours: 5.5 days (Mon to Fri and Half Sat), Office Hours

Key Responsibilities

• Support the management team in coordinating and planning daily clinic operations to ensure smooth workflow and service delivery
• Optimize manpower and resource utilization to achieve operational efficiency and cost-effectiveness
• Oversee administrative functions including staff scheduling, patient flow management, inventory control, and facility operations
• Collaborate with multidisciplinary teams (clinical, nursing, allied health, diagnostics, and support services) to ensure seamless patient care
• Drive and support the implementation of new healthcare initiatives, programmes, and service improvements
• Participate in planning and executing strategies to enhance work processes, service quality, and operational performance
• Contribute to cross-functional projects such as manpower planning, staff training and development, digital transformation, workflow optimization, and new facility development
• Support emergency planning and operational readiness initiatives
• Promote a culture of service excellence, continuous improvement, and patient-centred care

Requirements

• Possess a Bachelor’s Degree in any discipline
• Min. 2-3 years experience in handling daily clinic operations in a supervisory role
• Good critical thinking and problem-solving abilities
• Resilient, adaptable, and able to multitask in a fast-paced environment
• Positive attitude with a proactive and dynamic approach to work
• Willingness to work a 5.5-day work week

[Job ID: 1505333]

Overview

We are seeking a highly motivated and hands-on professional to join our Asset Management team. In this role, you will play a key part in post-investment value creation, with a focus on Post-Merger Integration (PMI) initiatives. You will work closely with portfolio companies to strengthen corporate governance, enhance operational and financial frameworks, and drive sustainable growth. The ultimate objective is to position portfolio companies for successful exits to strategic buyers with a long-term investment perspective.

Key Responsibilities

• Support post-investment activities, including Post-Merger Integration (PMI) initiatives across portfolio companies
• Establish, review, and enhance internal control systems and corporate governance frameworks
• Improve financial and operational structures, including balance sheet and P&L management processes
• Assist in setting up and monitoring board governance, reporting frameworks, and management structures
• Partner with portfolio company management teams to drive value creation initiatives and operational improvements
• Contribute to exit readiness planning, including strategic positioning and operational optimization

Requirements

• 3–4 years of relevant experience in consulting (strategy, PMI, or transformation), Big 4 advisory, investment banking, corporate M&A, or investment-related roles within trading companies
• Solid understanding of M&A processes, post-merger integration, and the investment lifecycle
• Strong interest in driving business improvement, operational optimisation, and portfolio value creation
• Hands-on and detail-oriented, with the ability to balance strategic thinking and execution
• Effective communicator with the ability to work closely with internal stakeholders and portfolio company management teams

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

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EA Personnel Name: Ong Kang Quan Ryan
EA Personnel Registration Number: R23116952
EA License No.: 07C5771

The Opportunity

• Adecco is partnering with Public Sector to look for an Assistant Manager (Event Operations, Public Sector).
• This role supports the planning, coordination, and execution of large-scale physical and virtual events, ensuring smooth end-to-end operations, strong stakeholder alignment, and seamless on-site and online experiences.

The Talent

• Possesses at least 4 years of experience in large-scale event operations, preferably for APAC conferences of 1,000+ attendees
• Strong project and ground operations management skills, with the ability to manage multiple workstreams simultaneously
• Knowledge of virtual events, streaming technologies, and digital engagement tools
• Resourceful, detail-oriented, and able to perform well under pressure and tight deadlines
• Strong communication and stakeholder management capabilities
• Proficient in Microsoft PowerPoint, Excel, and Word
• Experience working with public sector stakeholders is an advantage

Job Description

• Coordinate event operations and logistics across multiple venues and programme owners
• Establish streamlined workflows to support efficient event preparation and delivery
• Manage ground operations to ensure smooth on-site execution and issue resolution
• Oversee the virtual event experience, including platform setup, content accuracy, and systems coordination
• Work closely with event organisers, venues, and technology vendors to ensure operational readiness
• Collaborate with internal teams and external partners to align timelines, information, and deliverables
• Support project management activities, meetings, documentation, and event administration
• Provide operational support across broader organisational programmes as required

Next Step:

• Send your updated cv at JiaYi.Lim@adecco.com
• Email Subject: Assistant Manager (Event Operations, Public Sector)
• Only shortlisted candidates will be contacted

Lim Jia Yi
EA License Number: 91C2918
Personnel Registration Number: R24119814