Total 13,522 job vacancies in Singapore

     Technical component to install, repair and service the different makes of air conditioners in construction heavy Machinery and Trucks etc.

     Adhere to all the procedures and protocols prescribed by the manufacturers to install, to service and repair the AC and general maintenance.

     Ensure the air conditioners are kept clean that facilitates free and unobstructed air flow and transmission of heat.

     Service the compressor and evaporator to maintain its efficiency levels.

     Use the testing apparatus to evaluate the wiring, electric circuits and components for resistant, continuity and optimum performance.

     Make adjustments to the control system to balance the heat, absorption, ventilation parameters.

     Change the filters, replace the batteries, alternators, oil the moving parts and tighten the wiring as part of the general servicing duties.

     Skilled at determining the errors and finding most feasible option to troubleshoot. Ability to read and comprehend technical specifications and manuals.

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

Responsibilities include, but not limited to:

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

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

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

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

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

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

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

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

Education Qualifications:

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

Minimum Qualifications:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Preferred:

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

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

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

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

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

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

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

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

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

Responsibilities include, but not limited to:

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

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

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

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

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

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

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

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

Education Qualifications:

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

Minimum Qualifications:

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

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

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

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

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

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

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

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

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

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

• 10+ years building scalable ETL pipelines.

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

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

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

Preferred:

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

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

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

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

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

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

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

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

Responsibilities

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

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

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

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

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

Requirements

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

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

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

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

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

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

• Direct experience with factory scheduling preferred.

• Able and willing to travel overseas

Responsibilities and Task

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

• Agentic AI Development:

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

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

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

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

• RAG-LLM Development

• Identify potential data sources for RAG implementation.

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

• Productionalization & Engineering

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

• Implement guardrails, hallucination detection, and output validation.

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

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

Required Qualifications & Skills

• Education/Experience:

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

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

• Technical Skills:

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

• Familiarity with building streamlit, dashboards, and API.

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

• Technologies:

• Google Cloud Platform, Git, Bitbucket.

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

• Docker, Containerization, Kubernetes.

• Soft Skills:

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

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

• Strong problem solving skills with structured and logic approaches.

• Highly organized and adaptable to changing business needs.

Preferred Qualifications

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

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

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

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

Responsibilities include, but not limited to:

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

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

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

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

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

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

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

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

Education Qualifications:

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

Minimum Qualifications:

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

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

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

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

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

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

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

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

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

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

• 9+ years building scalable ETL pipelines.

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

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

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

Preferred:

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

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

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

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

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

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

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

Responsibilities:

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

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

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

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

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

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

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

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

Qualifications & Skills:

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

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

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

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

• Understanding of how distributed systems work. 

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

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

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

• Knowledge in building APIs for application integration

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

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

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

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

• Self-motivated and team oriented

Education and Experience:

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

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

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

• Ability to travel as needed 
  

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

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

Responsibilities include, but not limited to:

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

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

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

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

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

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

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

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

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

• Education and Experience Required:

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

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

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

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

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

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

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

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

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

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

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

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

Responsibilities

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

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

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

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

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

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

Requirements

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

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

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

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

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

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

• Direct experience with factory scheduling is highly preferred.

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

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

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

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

Responsibilities include, but not limited to:

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

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

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

• Identify meaningful insights from large data and metadata sources.

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

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

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

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

Minimum Qualifications & Skills Required:

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

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

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

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

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

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

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

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

Review electrical engineering drawings and refer issues requiring changes.

Assign job tasks and work as per electrical project schedules.

Review all electrical drawings with Leadmen performing on assigned jobs to them.

Stimulate fabrication standards to ensure quality work attained from assigned staff.

Recruit, guide, train, monitor and terminate assigned employees as required.

Recommend effective solutions specified particular weight related to employment status of employees.

Schedule, assign, plan and supervise electrical shop personnel performance on different electrical projects.

Plan and prepare work and equipment usage schedule

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.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/

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

• Collaborate with project teams to design and develop efficient mechanical and electrical solutions
• Oversee the installation, testing, and commissioning of M&E systems to ensure compliance with relevant standards and regulations
• Provide technical support and troubleshooting for ongoing M&E operations
• Prepare detailed reports, drawings, and documentation to support project deliverables
• Liaise with clients, contractors, and stakeholders to coordinate project activities
• Continuously explore opportunities to optimise M&E systems and enhance energy efficiency

Requirements

• Bachelor's degree in Mechanical Engineering or a related field
• Minimum 3 years of experience in M&E design, project coordination, or system integration
• Strong technical knowledge of mechanical and electrical systems, including HVAC, plumbing, and electrical installations
• Proficient in reading and interpreting engineering drawings, specifications, and technical documents
• Familiarity with relevant building codes, regulations, and safety standards

• Good Pay + Good allowance + Good Bonus

• Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)

• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Collaborate with project teams to design and develop efficient mechanical and electrical solutions
• Oversee the installation, testing, and commissioning of M&E systems to ensure compliance with relevant standards and regulations
• Provide technical support and troubleshooting for ongoing M&E operations
• Prepare detailed reports, drawings, and documentation to support project deliverables
• Liaise with clients, contractors, and stakeholders to coordinate project activities
• Continuously explore opportunities to optimise M&E systems and enhance energy efficiency

Requirements

• Bachelor's degree in Mechanical Engineering or a related field
• Minimum 3 years of experience in M&E design, project coordination, or system integration
• Strong technical knowledge of mechanical and electrical systems, including HVAC, plumbing, and electrical installations
• Proficient in reading and interpreting engineering drawings, specifications, and technical documents
• Familiarity with relevant building codes, regulations, and safety standards

• Good Pay + Good allowance + Good Bonus

• Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)

• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286

· Collaborate with project teams to design and develop efficient mechanical and electrical solutions

· Oversee the installation, testing, and commissioning of M&E systems to ensure compliance with relevant standards and regulations

· Provide technical support and troubleshooting for ongoing M&E operations

· Prepare detailed reports, drawings, and documentation to support project deliverables

· Liaise with clients, contractors, and stakeholders to coordinate project activities

· Continuously explore opportunities to optimise M&E systems and enhance energy efficiency

Requirements

· Bachelor's degree in Mechanical Engineering or a related field

· Minimum 3 years of experience in M&E design, project coordination, or system integration

· Strong technical knowledge of mechanical and electrical systems, including HVAC, plumbing, and electrical installations

· Proficient in reading and interpreting engineering drawings, specifications, and technical documents

· Familiarity with relevant building codes, regulations, and safety standards

• Good Pay + Good allowance + Good Bonus

• Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)

• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

About CapBridge

CapBridge, a member of FOMO Group, is a leading digital investment platform headquartered in Singapore. As a Capital Markets Services licensee, CapBridge is regulated by the Monetary Authority of Singapore (MAS) to offer top-tier funds, digital asset funds, stocks, bonds, equities, and arrange life insurance products. It provides mass affluent, HNWIs, and institutional clients with seamless access to both private and public markets, meeting clients' diverse asset allocation needs.

For more information, please visit www.capbridge.sg.
For recruitment inquiries, contact recruitment@fomopay.com.

About the Role

As part of the cornerstone of our fiduciary framework, you will support the end-to-end safeguarding of cash, securities, and digital assets. You will provide critical oversight for SPV and trust structures, ensuring every transaction and trustee decision is defensible, compliant, and audit-ready. This role is designed for a seasoned operations leader who can navigate complex MAS regulatory landscapes (SFA, FAA, Trust Companies Act) while driving the evolution of our custody controls and digital asset integration.

Key Responsibilities:

● Custody & Asset Safeguarding: Support the end-to-end lifecycle for traditional and digital assets, overseeing reconciliations, corporate actions, and the establishment of robust segregation frameworks.

● Fiduciary Oversight: Support trustee administration for SPVs and trusts, interpreting complex deeds to monitor issuer obligations, covenants, and formal trustee actions.

● Regulatory & Risk Governance: Support the team for MAS compliance (SFA, FAA, TCA); partner with Compliance on inspections and maintain rigorous incident remediation plans.

● Onboarding & AML Oversight: Direct the due diligence and KYC/KYB assessments for issuers and intermediaries, ensuring all counterparties align with internal risk appetite.

● Reporting & Audit Readiness: Serve as the primary contact for auditors and regulators, ensuring all records are inspection-ready and presenting periodic governance reports to senior management.

● Strategic Transformation: Lead workflow automation and UAT for new systems, translating regulatory requirements into scalable operational designs for new asset classes.

Requirements:

● Experience: 3–5+ years in Custody Operations, Trustee Administration, or Asset Servicing.

● Regulatory Expertise: Deep knowledge of MAS frameworks (SFA, FAA, Trust Companies Act, and relevant Notices).

● Technical Breadth: Experience with SPV structures and capital markets; exposure to Digital Assets or Tokenized Securities is a strong advantage.

● Operational Mindset: Demonstrated ability to act as an independent control owner with a high degree of "audit-ready" documentation discipline.

● Leadership: Experience coaching junior team members and managing complex stakeholder relationships across Legal, Tech, and Senior Management.

● Industry Background: Prior experience in regulated FinTech, Trust Companies, or Fund Administration is highly preferred.

Our Perks and Benefits:

● Competitive Compensation and Benefit Package

● Group Hospitalisation and Medical Insurance

● Fun and Dynamic Environment with plenty of learning and growth opportunities

● Career Advancement

● Professional Development Training Workshops

● Team Building Sessions

Support seasonal and factory buying processes, including sharing product information, assisting partners, and consolidating feedback.

Coordinate sales orders: upload orders, track stock arrivals, and inform clients of changes or delays.

Prepare forecasts, shipment documentation, and approvals; coordinate with logistics and finance teams.

Manage import/export operations and compliance requirements for regional partners.

Handle retail order fulfilment and stock allocation, ensuring timely delivery to stores.

Prepare weekly, monthly, and ad hoc reports on operations, stock, and sales performance.

Liaise with internal teams and partners to ensure smooth operations and accurate stock management.

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

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

The Project Technician supports the Project Manager/Coordinators by handling tasks such as pre installation checks and post installation adjustments of the equipment on site. Attend daily toolbox meetings, submit PTWs to facilitate daily works arrangements on site.

Responsibilities

• Participate in project meetings both internal and external and propose improvements if necessary
• Provide technical and logistic support on projects and coordinating with teams
• Monitor and update progress, issues and glitches
• Perform quality control and checking on installation quality
• Provide simple adjustments/troubleshooting support to newly installed equipment

Requirements

• Relevant experience in related mechanical/electrical roles in a construction & building environment
• Able to understand construction drawings and shop drawings for the purpose of equipment location and build requirements
• Valid Class 3 Singapore Driving License

The Supreme HR Advisory Pte. Ltd || 14C7279

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

Responsibilities:

• Perform taking off and measurement of quantities, and establishing detailed BOQ
• Source, review and negotiation of quotations
• Work closely and liaise with both internal and external project stakeholders
• Attend project meetings including site walks for progress claims’ evaluation
• Project budget and cost control including prepare monthly financial budget report and presentations (For Senior position)
• Prepare RFQ Subcontract tender documents, analyze and prepare cost comparison, post tender clarifications, tender interview, and award recommendation report
• Sub-Contract administration including handling contractual documentation, correspondences and disputes matters
• Assess, verify and response subcontractor's monthly progress claim, final account and variation orders in timely manner

Requirements:

• Degree in Quantity Surveying or in related disciplines (Mechanical / Electrical / Civil & Structural Engineering)
• At least 3 to 6 years of experience in a similar position in construction industry, preferably with LTA MRT project, with additional preference for experience in major RC works
• Candidate with more experience will be considered for a senior role
• Knowledge of PSSCOC and/or REDAS and /or SIA standard forms of Contracts
• Meticulous, analytical, eye for details and a good team player
• Ability to multi-task in a fast paced and dynamic environment
• Highly motivated, self-driven with initiatives to work independently
  

Information provided in response to this job advertisement will be treated in strict confidence and be used for recruitment purpose only.

Review electrical engineering drawings and refer issues requiring changes.

Assign job tasks and work as per electrical project schedules.

Review all electrical drawings with Leadmen performing on assigned jobs to them.

Stimulate fabrication standards to ensure quality work attained from assigned staff.

Recruit, guide, train, monitor and terminate assigned employees as required.

Recommend effective solutions specified particular weight related to employment status of employees.

Schedule, assign, plan and supervise electrical shop personnel performance on different electrical projects.

Plan and prepare work and equipment usage schedule

• MNC (Woodlands)
• Company Transport Provided
• Basic: $4000 to $6000 + AWS + VB
• Excellent Benefits + Career Progression
• Process Manufacturing Plant

Job Responsibilities:

Maintenance Operations & Equipment Reliability

• Assist the Maintenance Manager in overseeing daily plant maintenance operations to ensure high equipment availability and minimal production downtime.
• Lead and supervise maintenance activities for processing equipment including pumps, motors, gearboxes conveyors, compressors, heat exchangers, and packaging machinery.
• Monitor equipment performance and implement reliability improvement and predictive maintenance initiatives.
• Support troubleshooting and root cause analysis of equipment failures and implement corrective actions.

Utilities & Plant Infrastructure

• Oversee maintenance of plant utilities systems including boilers, steam systems, cooling towers, compressed air systems, and water treatment facilities.
• Ensure all utilities operate efficiently to support refinery, fractionation, and food ingredient production processes.
• Coordinate with utilities and production teams to maintain stable plant operations.

Preventive & Predictive Maintenance

• Plan and implement preventive maintenance programs to improve equipment lifespan and reduce breakdowns.
• Monitor and review maintenance schedules and work orders through the Computerized Maintenance Management System (CMMS).
• Ensure maintenance records, equipment history, and documentation are properly maintained.

Team Leadership & Resource Planning

• Supervise and guide maintenance engineers, technicians, and contractors in daily maintenance activities.
• Allocate manpower and resources effectively to meet plant maintenance requirements.
• Provide training and mentoring to develop technical capabilities within the maintenance team.

Projects & Continuous Improvement

• Support plant engineering projects including equipment upgrades, plant modifications, and installation of new machinery.
• Participate in cost reduction and productivity improvement initiatives within the plant.
• Evaluate spare parts requirements and ensure critical spare parts availability.

Safety, Quality & Compliance

• Ensure maintenance activities comply with workplace safety regulations and plant safety procedures.
• Enforce Lock-Out/Tag-Out (LOTO) and permit-to-work systems during maintenance work.
• Support compliance with food safety and quality standards such as HACCP, GMP, and ISO requirements.

Requirements

• Diploma / Degree in Mechanical Engineering, Electrical Engineering, or related discipline.
• Maintenance experience in manufacturing or process industries (food, edible oil, chemical, or FMCG preferred).
• Experience managing maintenance activities for rotating equipment, pumps, motors, and utilities systems.
• Familiar with preventive maintenance, equipment reliability, and troubleshooting of plant machinery.
• Experience supervising technicians or maintenance teams will be an advantage.
• Knowledge of CMMS maintenance systems is preferred.
• Able to work in a manufacturing plant environment and support plant shutdown or emergency maintenance when required.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Education background
  Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Location: Jurong East
Duration: 6 months - Till Mid Nov 2026
Salary: $2500 -2600

Job Scope:

• Ensure on-boarding matters are in order for new staff (Specialist/non-specialist and Medical Officer/locum employment).

• Provide administrative support on assigning and tracking the daily Medical Reports.

• Responsible for the overall management of clinical administrative matters; including clinician’s allowance claims, leave applications and tallying of roster

• Assist in audit for MO documentation

• Oversee the management of department intranet webpage

• Assist in collation of data and reporting of department key indicators

• Assist with correspondence and preparation of reports and presentations

• Responsible for the management of department’s PR

• Ensure that there is sufficient stock for daily operations needs

• Be able to contribute to department, institutional, and cluster goals and objectives.

Job Requirements:

• Min. Diploma in any field
• No experience as training will be provided

Interested applicants please submit their detailed resumes via email to melissa@recruitexpress.com.sg

All applications and personal information received will be treated with the strictest confidence.

Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
EA Licence No.: 99C4599

Responsibilities:

• Operate lab equipment for failure analysis, physical characterization, and quality control.
• Monitor SPC and calibrate IMTE to ensure equipment quality.
• Follow lab procedures and cleanroom protocols.
• Meet measurement cycle time and perform timely calibration.
• Operate equipment according to SOP.
• Maintain lab cleanliness and order.
• Assist in special projects assigned by supervisors.

Requirements:

• Diploma in Physics, Material Science, or related Engineering field.
• Preferably 2 years of lab or semiconductor industry experience.
• Fresh graduates are welcome to apply.
• Proficient in Microsoft Word and Excel.
• Experience with SEM/EDX, SRP is an advantage.
• Willing to work on shifts as needed.

______________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact win@hkmsvs.com for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Working Hours: OFFICE HOURS / SHIFT HOURS 

Location: ISLANDWIDE 

Job Description (Patient Service Associate):

• In charge of registration of patients

• Scheduling of appointments

• Assist patients with the self registration

• Attend to patients' enquiries and needs

• Handling of phone calls and ad-hoc admin duties

Job Description (Healthcare Assistant):

• Provide basic care to patients, including feeding, bathing, and dressing
• Assist with patient mobility and transfers (e.g. bed to wheelchair)
• Monitor and record vital signs (e.g. temperature, blood pressure)
• Ensure patients’ comfort, safety, and well-being
• Maintain cleanliness of patient areas and equipment
• Support nurses and healthcare team in daily operations
• Observe and report changes in patients’ condition

Requirements: 

• Min N /O Level/ Nitec or Diploma in any field

• No experience required as training provided 

Interested candidate, kindly send a copy of your resume to adelinelim@recruitexpress.com.sg cc medical7recruitexpress.com.sg

Adeline Lim Xin Ying [R23112000]

Email Address: adelinelim@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599