Total 3,174 job vacancies in Singapore

Pay: Up to $9,000
Location: Queenstown
Work hours: Monday – Friday, office hours

Job Scope

• Assist in the development and execution of strategic plans aligned with organizational goals and priorities, supporting the planning and implementation of new clinical services

• Manage end-to-end Levels of Medical Capabilities (LMC) application and approval processes with the company and coordinate regulatory compliance documentation

• Coordinate value-driven healthcare initiatives across cluster office, company partnerships and drive organizational VDO and care project portfolio development

• Manage departmental budget projection, allocation and expenditure tracking while ensuring compliance with organizational financial policies

 Requirements

• Minimum Bachelor's degree preferred in Healthcare Administration, Business Administration, Public Health or Health Policy and Management.

• Minimum 3-5 years of relevant working experience in project management or healthcare setting

• Strong analytical skills with the ability to interpret trends and data effectively

• Knowledge of healthcare administration or related fields is advantageous

If interested, please email me at pharmascience@recruitexpress.com.sg or telegram @alexgohhl

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599).

Company Overview:

Are you ready to see your career take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.

Site Overview:

For more than 40 years, our advanced facilities in Singapore have led aerospace innovation across the Asia Pacific region. From automating processes to leveraging smart factory technologies, robotics, and additive manufacturing, GE Aerospace is shaping the future of aviation. Responsible for more than 60% of our global repair volume, our Singapore site is the largest site for engine component maintenance, repair and overhaul work. We can’t do this work without talented people like you.

Join us and be part of our journey to innovate and excel in the aerospace industry.

Role Overview:

• Partners with Sales, Commercial Operations, Finance and Technical teams to shape regional deal strategy and structure proposals aligned with business objectives and customer requirements.

• Interprets internal and external business challenges and recommends best practices to improve products, processes or services. Utilizes understanding of industry trends to inform decision making process.

• Leads others to find creative solutions to address complex projects, product lines, markets, sales processes, or customers. Has the ability to evaluate quality of information received and questions conflicting data for analysis. Uses multiple internal and external resources outside of own function to help arrive at a decision.

• May lead functional teams or projects with moderate resource requirements, risk, and/or complexity. Communicates complex messages and negotiates mainly internally with others to adopt a different point of view. Influences peers to take action and may negotiate with external partners, vendors, or customers.

• Leads the implementation of FLIGHT DECK to standardize and streamline processes.

Ideal Candidate

The ideal candidate provides guidance and thought leadership on complex deal structuring and negotiations, upholds commercial policies and pricing frameworks, and supports direct customer negotiations on significant campaigns in partnership with Sales. The ideal candidate interprets external business challenges and data-driven insights to recommend best practices, rigorously evaluates information quality using diverse internal and external resources, and may lead functional teams or projects while effectively communicating complex messages to influence internal stakeholders.

Required Qualifications

• Bachelor’s Degree with 10 years of experience in Product Management & Operations, Risk, and/or Deal Factory in the Aerospace industry.

Preferred Qualifications

• Strong oral and written communication skills.

• Strong interpersonal and leadership skills.

• Experience in leveraging FLIGHT DECK to improve processes.

• Demonstrated ability to analyze and resolve problems.

• Demonstrated ability to lead teams through change, foster collaboration, and drive innovative solutions in complex environments.

• Ability to document, plan, market, and execute programs. Established project management skills.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

• Direct and monitor all terminal activities including product transfers, loading/unloading, and related field operations.
• Plan shift resources, align daily work assignments, and maintain clear communication across teams.
• Uphold safety, quality, and statutory requirements, ensuring readiness for inspections or compliance checks.
• Coach, train, and evaluate staff to build technical competency and promote a culture of operational excellence.
• Serve as the point of contact during shift incidents, coordinating responses and ensuring swift recovery actions.

Requirements:

• Diploma in Chemical Process, Mechanical, or related Engineering discipline.
• At least 3 years of operational experience in terminals, oil & gas, or petrochemical industries.
• Strong knowledge of safety systems, permit-to-work procedures, and emergency response.
• Good communication and leadership skills with the ability to work under pressure.

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

Operations Customer Service Executive (OCSE) 
Salary: $3000 - $3500
Working Time: Monday - Friday, 8.30 am – 5.30pm / 9am – 6pm (can choose)
Working Location: Paya Lebar

Job Duties:

• Handles all clients inquires, concerns and complaints in a professional manner
• Monitor shipments with contractors and vendors and update both internal & external stakeholders
• Performs data entry, opening & closing of files and costing preparation in tandem to invoice generation
• Collaboration with all departments to better address clients needs, providing regular updates to higher management
• Assist in the preparation of Pricing & Quotations
• Support & involvement in continuous improvement programs with internal team to ensure control & processes to provide a high level of customer service & work efficiencies
• Upselling company products and identify new business opportunities through clients’ referrals

Job Requirements:

• Possess Diploma in Logistic / Supply Chain / relevant discipline is preferred.
• Relevant work experience in the Logistics / Shipping or Freight Forwarding Industry is a plus
• With permit declaration through Tradenet is preferable
• Computer literacy eg: proficient in MS Word & Excel etc

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Reg No: R2412474

Working Hours

Monday to Friday
Office Hours

Employment Type

Contract (6 Months)

Job Summary

Provide administrative and operational support to the department, ensuring smooth coordination of clinical and operational activities within a fast-paced healthcare environment.

Job Responsibilities

• Support onboarding and administrative processes for new staff and medical officers
• Assist in tracking and managing medical reports and related documentation
• Manage clinical administrative matters such as claims, leave, and roster coordination
• Support audits and ensure proper documentation compliance
• Maintain and update department intranet and internal resources
• Assist in data collation, reporting, and preparation of presentations
• Support departmental communications and coordination activities
• Monitor and ensure adequate stock for daily operational needs
• Perform general administrative duties and support department initiatives

Requirements

• Min GCE ‘A’ Level, Diploma or equivalent qualification

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Working Hours

Monday to Friday
Office Hours

Employment Type

Contract (6 Months)

Job Summary

Provide administrative and operational support to the department, ensuring smooth coordination of clinical and operational activities within a fast-paced healthcare environment.

Job Responsibilities

• Support onboarding and administrative processes for new staff and medical officers
• Assist in tracking and managing medical reports and related documentation
• Manage clinical administrative matters such as claims, leave, and roster coordination
• Support audits and ensure proper documentation compliance
• Maintain and update department intranet and internal resources
• Assist in data collation, reporting, and preparation of presentations
• Support departmental communications and coordination activities
• Monitor and ensure adequate stock for daily operational needs
• Perform general administrative duties and support department initiatives

Requirements

• Min GCE ‘A’ Level, Diploma or equivalent qualification

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

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.

Job scope

• Perform account static data maintenance and deposit accounts closure for various products & from various channels (online, mail-in / ad hoc request) and reply to email/queries
• Ensure all requests are processed within specified service standard, timely and accurately.
• Ensure issues are highlighted and escalated to Team Leader/cover promptly
• Challenge status quo and execute changes in an effective manner.
• Provide ideas/ initiatives in team huddle or forums on digitization, automation & process improvement
• Identify operational risks and recommend measures to address / mitigate the risk
• Review & update system reports on daily, weekly, and monthly basis
• Manage ad-hoc analysis to solve / respond to operations issue, urgent investigation, and business questions, using statistical and predictive modelling techniques
• Provide insights through data visualization and presentations to deliver productivity, identify root cause of a situation and to provide actionable insights
• Establish and maintain effective relationship and work closely with various stakeholders to understand the Business/Operations problem statement, propose analytic requirements and solution, leverage on internal and external data and use analytics techniques to provide data-driven insights
• Work closely with CBG business and support stakeholders to re-engineer and eliminate existing process frictions in realizing Design-For-No-Ops strategy
• Assist Team Leader with adhoc projects /assignments

Job requirement

• Diploma/Bachelor’s degree in finance or any related fields
• At least 6 months to 1 year of experience in banking operations role
• Good to have experience in Banking or financial industry.
• Proficiency in MS Word, MS Excel, MS PowerPoint with O365.

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

• Working location at Harbourfront

• Working hour: Monday –Friday (8:30am – 5:30pm)

• AWS + Variable Bonus

• Excellent Welfare &Benefits

• Well Established German MNC Freight Forwarding Company

Job Scope

• Arrange and coordinate shipments by sea, air or land
• Apply the necessary customs permits
• Liaise with contractors on timely collection and delivery of cargoes in Singapore
• Liaise with respective overseas offices and agents
• Attending to site meetings, surveys & loadouts as and when required
• Acknowledge incoming invoices and raise invoices to customers for payment
• Update and operate the Operations System (BLU)
• Update the tracking and tracing tools when in place for respective project
• Prepare quotations to clients, other office or agents
• Request and negotiate ad-hoc quotations from approved carriers, supplier and sub-contractor to ensure quality service at the best possible rate
• Ensure all clients requests are shared with the Operations Manager or Project Manager

Requirement

• Diploma in Business Administration / Logistics management or equivalent
• 2 – 4 years of working experience in freight forwarding industry

Candidates are encouraged to apply this position via Apply Now button with the followinginformation in the resume:

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

We regret that only shortlisted candidates will be contacted.

KHOOSOT MEI (R21102604)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client is from Supply Chain Solutions industry. Due to their current expansion plan, they are looking for Operations Executive to join their team, in hopes of developing the current high performing team. They are located in West area.

Job Responsibilities:

• Manage and resolve customer complaints promptly, ensuring high levels of satisfaction.

• Handle credit notes and claims, coordinating with relevant teams to verify and resolve issues.

• Oversee customer and vendor contracts, ensuring compliance and assisting with renewals or negotiations.

• Maintain accurate records and documentation for contracts, operational processes, and related activities.

• Assist cross-functional teams to ensure smooth daily operations and achievement of operational targets.

• Identify operational inefficiencies and implement improvements to streamline workflows and enhance service quality.

• Analyze operational data to identify trends, risks, and improvement opportunities.

• Generate regular reports on operational performance, KPIs, and customer service metrics for management review.

• Perform other ad-hoc duties as assigned.

Requirements:

• Minimum Diploma in Business Management/Supply Chain or relevant field studies.

• Minimum 4 years of experience in operations, preferably with exposure to customer service and contract management.

• Proficient in Microsoft Office applications and comfortable with data analysis.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Role: Assistant Operations Manager (Arborist)

Industry: Landscaping & Plantation Solutions

5 Days, 8.30am - 5.30pm

Basic Salary $3,500 - $5,000 + Project Incentive + 14 Days AL + Bonus

Office at Tengah , West SG [ Nearby MRT is Choa Chu Kang / Boon Lay MRT ] 

Requirement: 

• Diploma or Degree in Arboriculture, Horticulture, Landscape, or related field.

• ISA Certified Arborist or equivalent certification preferred.

• Minimum 3–5 years’ experience in landscape or arboricultural operations.

Job brief:

1. Lead and supervise operations staff, arborists, and contractors in day-to-day field activities.

2. Conduct tree inspections and assessments, recommending treatments and maintenance plans.

3. Plan and oversee pruning, trimming, and removal works following arboricultural best practices.

4. Manage landscape and tree projects from start to completion — ensuring quality, cost efficiency, and client satisfaction.

5. Ensure compliance with safety, environmental, and regulatory standards.

6. Build strong client relationships and support business growth through quality service delivery.

7. Assist in the recruitment, onboarding, and training of new landscape and arboriculture staff.

8. Business Development Support in identify new business opportunities within the operations and arboriculture sectors. [ Sales Project Incentive will be given ]

9. Collaborate with the sales team to prepare proposals, costings, and technical inputs.

10. Stay updated on industry trends, technologies, and competitor activities.
    

    Tai Jia Seng Reg No: R26159755

    The Supreme Hr Advisory Pte Ltd EA No: 14C7279

We are seeking a proactive and detail-oriented Assistant Manager to support regional technology and programme initiatives.

Contract Duration: 8 months
Start Date: ASAP