Total 17,119 job vacancies in Singapore

Support daily treasury operations, including deposits, FX, borrowings, and settlement activities.

Monitor inter-company loans, interest computations, and loan settlements.

Perform month-end closing, reconciliations, and reporting for treasury-related transactions.

Prepare treasury reports, tax/GST support schedules, and analysis.

Ensure treasury accounting entries comply with accounting standards and internal controls.

Support banking administration, including account maintenance and authorised signatory updates.

Assist with Treasury Management System controls and process improvements.

Support projects and ad hoc treasury-related duties as assigned.

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

Our client is actively searching for a Manager, Operations (Centre for Precision and Genomic Medicine) to join their team!

If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

• Assist the Clinical HOD(s) and key stakeholders to plan, develop and implement new care models and clinical services to support the running and expansion of the CPGM department/clinic. Inclusive but not limited to the planning and implementation of the move to Pavilion wards and eventual move to Medical Tower when the building is completed.
• Drive the strategic expansion and promotion of precision medicine services, identifying new market opportunities and developing partnerships with clinical stakeholders.
• Coordinate and work closely with various stakeholders within and out of the hospital such as clinical, nursing, facilities and other operational, Ministry of Health (MOH), community partners or third-party vendors on behalf of the Clinical Department(s), such as but not limited to facilities/infrastructure matters, patient queries, IT issues, regulatory matters and financials.
• Identify issues, provide solutions and monitor progress of the assigned work to ensure that they stay on schedule and on budget.
• Manage, monitor and track budget(CAPEX and OPEX), timeline, cash flow, resources, risk assessment and make recommendations as appropriate.
• Plan, drive and manage quality improvement projects at Hospital-wide / Department level.
• Provide administrative support, including secretariat roles for assigned committees related to the projects undertaken by the department.
• Develops and reviews all department work processes, related policies and procedures. Ensuring that all policies are kept up to date.
• Manages / resolves inter/intra departmental conflicts and tension amongst staff.
• Participates in procurement process for purchases of items for department.
• Monitors and maintain proper inventory records for medical consumables, machines, supplies.
•  Ensure optimal clinic resource utilisation
• Provides supervision and assistance in managing clinical emergency situations

The ideal candidate will need to have the following qualities and experience:

• Bachelor’s degree and above from any discipline.
• At least 8-10 years of relevant industry experience, preferably in healthcare administration or specialist clinic operations.
• Experience in practical aspects of project management involving operational technology systems in a healthcare organisation is an added advantage.
• Good collaborative skills and ability to work with multiple stakeholders (clinical healthcare professionals, IT vendors, finance etc.) across different domains.
• Organised, meticulous individual with good project management skills.
• Ability to multi-task and work under tight deadlines in a fast-paced environment.
• Dedicated and willing to go the extra mile to see things through.
• Excellent written skills, oral communications and presentation skills (English).
• Proficiency in Microsoft Office (Word, Excel, Powerpoint).

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

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

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.

Responsibilities

• Project manage infrastructure and buildings projects within new estate divisions
• Managing project budgets, schedule and resources
• Coordinating with team members and stakeholders as part of the design interface
• Assist in preparing development ,paper submissions as part of the funding approval process
• Identify potential construction related issues or /and contractual disputes and provide appropriate solution, ensure a quality tender documents with all necessary requirements,
• Resolve technical and design issues with consultants and contractors

Requirements

• Background in Electrical or Mechanical Engineering, relevant working experience in developer, consultant or contractor firms.
• Experience in Project Management
• Is a team player with strong interpersonal and communication skills

ABOUT THE ROLE

You are required to be responsible on planning and implement preventive maintenance program for M&E system and equipment for the respective commercial building.

WHAT YOU WILL DO

* Hold regular management meetings with client to report on the activities and management of the Property, as well as to present recommendations relating to their management.

* Manage all financial matters, including monitoring of the income and expenditure of the Property to ensure that these are in line with the annual budget

* Preparation of annual Income and Expenditure Budgets and Capital Improvement Budget for the approval within the time specify by the client.

* Liaise with government authorities/ statutory boards, architects, engineers and other divisions on matters relating to management and maintenance of the Property

* Constantly review contract specifications for maintenance of M&E systems and equipment make recommendations of upgrading standards.

* Plan and implement preventive maintenance programme for M&E system and equipment.

* Evaluate, review, recommend and manage the maintenance contractors for the Property; regular inspections of the Property to ensure the effective operation of the Property and bringing any areas of concerns, including any claims, liability or legal process, to the client.

* Identify problem areas in operational process and recommend improvement plans to maximize the efficiency of operation.

* Manage inventory and take charge of technical store

* Attending to emergency situations.

* Regularly check the Property to ensure prompt removal of all fire hazards, proper functioning of fire escapes, fire doors and obstruction-free access.

* Oversee and ensure that any complaints from the occupiers of the Development are attended to and resolved within agreed timeline.

* Creating and maintaining good rapport with tenants and attending to their complaints and concerns.

* Oversee the preparation of estimates for repair works, works specifications,

invitations for quotations, recommendations of award, supervision of completed works including drafting of contract documents.

* Reviewing and approving tenant’s fit-out designs and programmes to ensure that no damage would be caused to the Property’s fixtures and fittings and systems etc including no breach to government rules, laws and regulations.

WHAT YOU WILL NEED

* Diploma / degree in building, facilities management or any relevant discipline with minimum 2 to 3 years’ experience in similar capacity.

* Strong leadership qualities and ability to work with client and tenant

* Good analytical skills to assess situation and determine the best course of action

* Dynamic, self-motivated individual

* Possess excellent interpersonal and communication skills

* Ability to work independently and resourceful

* Possess knowledge on sustainability and green mark and/or experience in green mark renewal for commercial buildings would be an advantage

Why CBRE

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and

forward-thinki

ng professionals who create significant impact. Our collaborative culture is built on our shared values — respect, integrity, service and excellence — and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.

OUR VALUES IN HIRING

At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.

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.

• Basic Salary: $2,000 to $2,500 + OT
• 5 days - 8.30am to 5.30pm
• Office Location: Ubi / Work Location: Island wide

Responsibilities

Field Service Operations:

• Carry out schedule and retrofits automatic door parts; mechanical, electrical and electronic
• Troubleshoot and conduct site check on the automatic entrance and propose parts recommendations for user consideration
• Provide site report to client for the purpose of completion of works,
• Testing/commissioning. Decommissioning and conduct risk assessment of all automatic entrance related system and products

Others:

• Propose upgrades of automatic door entrances as well as providing feasible solutions to clients existing door entrances
• Keeping assigned service vehicle in good road worthy condition and to upkeep vehicles cleanliness and hygiene at all times
• Keep updated on product information and technical know-how for our products and competitor’s product
• Maintaining all tools and equipment provided in a good working condition and to exchange timely when tools/equipment provided are found damaged or reasonably wear and tear observed
• Any Other duties assign by the management or your immediate superior

Requirements

• Valid Class 3 Singapore Driving License
• Relevant experience in related mechanical/electrical roles

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

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.

• Coordinate M&E works with consultants, contractors, and subcontractors to ensure compliance with project specifications and quality standards.
• Supervise on-site M&E installation activities and support smooth execution of construction works
• Manage MEP clearances and documentation in accordance with approved project plans.
• Participate in coordination meetings and liaise with construction teams to resolve technical and scheduling issues.
• Assist project management and M&E leadership on assigned tasks, including BIM (Revit) model updates and detailing as required.

Requirements:

• Diploma in Mechanical or Electrical Engineering
• At least 5 years of relevant M&E experience with infrastructure/LTA projects.
• Proficient in interpreting M&E drawings, specifications, and construction sequences.
• Team-oriented with strong communication and interpersonal skills.
• Familiarity with BIM (Revit) and ability to make model edits is advantageous.

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

• Coordinate Testing & Commissioning (T&C) activities, ensuring quality, cost, and timeline adherence.
• Plan, prepare, and execute T&C activities, including documentation, software installation, and functional testing.
• Conduct on-site testing with clients and contractors, troubleshooting system faults and recommending corrective actions.
• Ensure compliance with corporate standards, industry regulations, and operational processes.
• Support Quality Reviews and prepare reports on system performance.

Requirements:

• Diploma in Electrical/Mechanical Engineering or equivalent
• At least 3 years of relevant experience in Testing & Commissioning in the Construction/M&E industry.
• Strong project coordination, organizational, and communication skills.

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:

• Supervision of Electrical Equipment testing and commissioning at site
• Review and submission of site acceptance test reports.
• Review Single Line Diagrams and Electrical Schematic Drawings.
• Assist in Electrical Equipment Installation Inspections.
• Attend Site Activities and Meetings involving clients and contractors.
• Undertake tasks / assignments as and when directed by the Commissioning Lead.

Requirements:

• Diploma/Degree in Electrical/ Mechatronic Engineering.
• Minimum 2 Years in the related field and understand singapore regulatory
• Experience in MV / LV Electrical Equipment (Site Installation, Testing and Commmissioning, Maintenance Testing) will be an added advantage.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894