Total 1,695 job vacancies in Singapore

Job Description

· Perform duties in various sections of the company’s operations

· Acquire knowledge of the company’s outlet operation by rotating in each position;

· Oversee stock management and coordinate supply orders

· Acknowledge and achieve performance goals and objectives defined by management.

· Monitor and foster service quality and customer satisfaction

· Ensure outlet and equipment are in working condition

· Achieved sales target and KPIs given by the management

· Provide timely communications to internal and external stakeholders

· Perform ad-hoc duties as assigned by your superior.

Job Requirements:

· Strong communication, interpersonal and management skills

· Preferably Junior Executive specialized in Food/Beverage/Restaurant Service or equivalent;

· Successful applicants will have the opportunity to assign assignments at oversea branches.

As a Data Scientist 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 novel solution development activities.

Key Responsibilities

• Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including experience with RGB-D cameras and vision inspection systems for volume/density measurement and component verification.

• Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging frameworks like TensorFlow, PyTorch, and Keras.

• Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.

• Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (AWS, GCP), and sensor networks, applying rigorous outlier detection and missing data handling.

• Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools (Python, Spotfire, Power Automate).

• Coordinate production deployment activities using MLOps best practices (MLflow, Apache Airflow), including model monitoring, data drift detection, versioning, and automated testing.

• Contribute to research and innovation through published patents, peer-reviewed papers, or presentations at top-tier conferences (e.g., IJCNN, CVPR, NeurIPS), and demonstrate ability to translate research into practical solutions.

• Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders.

Required Qualifications

• Ph.D. or Master’s degree in Computer Science, Data Science or AI.

• Minimum 2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Or

• Bachelor’s degree in Computer Science, Data Science or AI.

• Minimum 3 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Required Technical Experience

• Computer Vision: At least 2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV, YOLO, and RGB-D cameras.

• Deep Learning & AI: At least 2 years of working experience with deep learning frameworks (TensorFlow, PyTorch, Keras), including CNNs, LSTM, transformer models, and generative AI.

• Multimodal Analysis: Proven ability to work with multimodal datasets (text, image, time-series), including sentiment analysis and fusion of multiple data types.

• Programming & Data Engineering: Strong Python programming skills; at least 2-years’ working experience with SQL, Java, C++, and cloud platforms (AWS, GCP); familiarity with distributed computing frameworks (Spark, Hadoop).

• MLOps & Deployment: Experience with MLflow, Apache Airflow, Docker, and Git for robust model deployment and monitoring in production environments.

• Visualization & Communication: At least 2 years of working experience in visualization tools (Dash, Plotly, Spotfire, PowerBI) and technical writing for documentation and training.

Required Soft Skills

• In working or research environment consistently demonstrated analytical and problem-solving skills, with a data-driven and research-oriented mindset for at least 2 years.

• Effective communicator and collaborator, with experience in cross-functional project management and training.

• Proven ability with at least 1-year working experience to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.

• proven track record of commitment to quality, continuous improvement, and adaptability in manufacturing settings.

Preferred Experience

• Prior experience in the semiconductor industry (e.g., Intel, STMicroelectronics) or electronics manufacturing.

• Hands-on involvement in integrating computer vision or NLP solutions into production systems.

• Contributions to patents, peer-reviewed publications, or top-tier conferences (IJCNN, CVPR, NeurIPS).

• Experience with large language models (LLMs), multimodal sentiment analysis, or generative AI.

• Professional training or teaching experience in data science or AI topics.
  
  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.

Contract Period:

• 1 May 2026 to 31 Dec 2026 + 1 Yr Optional renewal

Deployment:

• Mondays to Thursdays: 9:00am to 6:00pm, inclusive of 1 hour lunch break
• Fridays: 9:00am to 5.30pm, inclusive of 1 hour lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist the Discipline team in the overall management of the students’ discipline, on a daily basis
2. Assist the Discipline team to conduct house visits with school personnel and make follow-up calls to parents.
3. Assist Operations Manager in manning and taking charge of the activities in the in-house detention centre, on a daily basis
4. Patrol the school premises to ensure orderliness, on a daily basis
5. Be involved in case management for students identified as at-risk
6. Conduct investigations as part of case management and submit report
7. Conduct spot-checks on students’ general neatness in appearance like attire and hair
8. Assist the Discipline team in maintaining student discipline during school functions and activities (eg. Speech Day, Sport Carnival, Level Camps), whenever necessary
9. Any other ad-hoc duties assigned by the Authority, including general administrative and office-related tasks within the school etc.

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.

Want to grow, learn, travel, and work with a team that hypes you up?

Experience not required — we train you from scratch.

You’ll vibe with this role if you:

✨ Love meeting people

✨ Communicate confidently

✨ Bring energy + positivity

✨ Want to lead and grow a team

We’ve got you with:

Core Responsibilities:

Daily Operations Management: Oversee all aspects of the outlet, including room bookings, front desk check-ins, cleaning schedules, and maintenance of sound systems and equipment.

Staff Leadership & Training: Recruit, train, schedule, and motivate front-of-house (service staff, receptionists) and back-of-house teams to maintain high service standards.

Sales & Financial Performance: Drive sales by implementing marketing initiatives, managing promotions, and meeting revenue targets. Monitor daily cash flow and prepare financial reports.

Customer Service Excellence: Handle customer inquiries, feedback, and complaints professionally to ensure high satisfaction rates.

Inventory & Supplier Management: Manage stock levels for food, beverages, and other supplies; manage supplier relationships and inventory audits.

Safety & Compliance: Ensure compliance with all legal regulations, fire safety standards, and hygiene standards.

Job Requirements:

Experience: Usually 3–5 years of experience in retail, hospitality, or entertainment management.

Skills: Strong leadership, interpersonal, and communication skills.

Technical Proficiency: Knowledge of POS systems and sound/lighting equipment.

Flexibility: Willingness to work nights, weekends, and public holidays.

Job Description

• Retail sales of aquarium products, ornamental fish, corals, and tanks.
• Handle customers' enquiries
• Shop livestock tank/display tank maintenance
• General housekeeping of the retail shop
• Assist in ad hoc job tasks

Job Requirements

• Sales-driven and self-motivated.
• Knowledge of aquarium fish is an added advantage.
• Experience in the aquarium industry or as a personal passion is an added advantage.

Benefits

• Basic + Commission + Performance Incentive
• Meal(s) Provided
• Excellent career growth opportunity

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.

Job Summary

We are seeking a motivated Senior Sales Engineer to combine technical consulting and business development. Collaborate with semiconductor clients to deliver high-precision equipment solutions tailored to their manufacturing needs.

Responsibilities

• Manage sales and marketing activities including preparing quotations, sales reports, and forecasts to support business growth
• Analyze market trends and prepare regular sales and market analysis reports for management decision-making
• Secure customer orders and coordinate to ensure timely delivery of products
• Build and sustain strong, long-term customer relationships to enhance client retention and satisfaction
• Service existing accounts and identify new business opportunities to expand market presence
• Collaborate with customers to customize products aligning with their specific project objectives
• Prepare and deliver technical presentations to effectively communicate product features and benefits
• Work closely with customers and engineering teams to ensure equipment meets technical requirements

Required competencies and certifications

• Diploma or Degree in Mechanical Engineering or related technical discipline
• 2–5 years of experience in technical sales, preferably within the semiconductor industry
• Strong communication and presentation skills to engage diverse stakeholders
• Ability to work independently and consistently achieve sales targets
• Willingness to travel overseas for customer site visits

Preferred competencies and qualifications

• Semiconductor industry experience preferred (not mandatory but advantageous)

If you’re a self-driven, outgoing and sharp… We want you!!

Our organisation is looking for the next talent to develop in our industry to lead and manage marketing campaigns

Responsibilities:

- Represent clients to boost sales revenue and brand awareness

- Enhance customer acquisition through in-person interactions

- Provide excellent customer service

Perks:

- Travelling opportunities, both regional and international

- 1 to 1 Mentorship

- Advancement opportunities

- Competitive income

Good to have:

- Keen learning attitude

- Team player

- Not afraid to make mistakes

We regret to inform you that only shortlisted candidate will be notified.

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.

As Smart Manufacturing & Artificial Intelligence (SMAI) Global Operations Improvement (OI) Manager, you would direct the activities of a data science team, responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for businesses across the company.
Oversee the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources.
Identify and communicate to partners, meaningful, actionable insights from large data and metadata sources. Selects, develops, and evaluates personnel ensuring the efficient operation of the function.

Responsibilities

As the Data Science Team Manager within the SMAI (Smart Manufacturing & AI) department, you will lead a team of data scientists to develop and deploy AI-driven solutions that support global operational excellence. You will play a key role in driving SMAI’s strategic initiatives by using advanced analytics, cloud technologies, and across function collaboration.

• Team Leadership & Development

• Lead, mentor, and grow a team of data scientists focused on delivering scalable AI solutions aligned with SMAI’s global strategy.

• Foster a culture of innovation, accountability, and continuous learning.

• Strategic Execution & Partner Engagement

• Translate SMAI department strategy into actionable data science initiatives that support business goals across manufacturing, supply chain, and operations.

• Collaborate with global partners to identify high-impact opportunities and ensure alignment with organizational priorities.

• Technical Guidance & Solution Delivery

• Guide the team in designing and implementing AI/ML models using tools such as Google Cloud Platform (GCP), BigQuery, and Vertex AI.

• Ensure robust data pipelines and model deployment using SQL, Python, and cloud-native technologies.

• Promote practices in model development, validation, and monitoring.

• Data Governance & Innovation

• Champion data quality, security, and compliance across all projects.

• Know the latest with emerging trends in AI, machine learning, and cloud computing, and drive adoption of relevant innovations.

Requirements

• Educational Background

• Bachelor’s or Master’s degree or equivalent experience in Data Science, Computer Science, Statistics, Engineering, or a related field

• Japanese & English communication skill

• Professional Experience

• 5+ years of experience in data science or analytics, with at least 2 years in a leadership or managerial role.

• Proven track record of delivering AI-related solutions in manufacturing, operations, or supply chain domains.

• Technical Skills

• Strong proficiency in SQL, Python, and data modeling techniques.

• Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Vertex AI, and Cloud Functions.

• Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn) and MLOps practices.

• Strategic & Capabilities across Functions

• Ability to translate SMAI department strategy into actionable data science initiatives.

• Strong partner management and communication skills across global teams.

• Experience working in agile environments and managing multiple concurrent projects.

• Leadership & Innovation

• Demonstrated ability to lead and develop high-performing teams.

• Passion for innovation and continuous improvement in AI and smart manufacturing technologies.

We are hiring a full time piano teacher to join our team. Our school focuses on clear progress, structured lessons, and steady communication with parents. If you take teaching seriously and want a long term, stable role, we would like to meet you.

Responsibilities

• Teach individual and group piano lessons for children and adults

• Prepare students for ABRSM, Trinity, LCME, and Rockschool examinations, recitals, and competitions

• Guide and support students during school concerts, showcases, and external events

• Deliver engaging, structured lessons using the school’s curriculum and materials

• Track each student’s progress and communicate clearly with parents

• Work collaboratively with the teaching team to maintain consistent standards

• Assist at the counter when needed

• Explain course structure, learning materials, and progress updates to parents confidently

• Maintain a positive, safe, and orderly learning environment

• Participate in all official school events and school activities

Requirements

• Diploma qualification or higher in Piano (ABRSM, Trinity, LCME, Rockschool, or equivalent)

• Strong communication and interpersonal skills

• Professional, responsible, and committed to student progress

• Able to work independently and in a team

• Able to commit on weekends

• Comfortable communicating with parents and assisting at the counter

• Basic computer literacy (Excel & Word)

We are hiring a part time violin teacher to join our team. Our school focuses on clear progress, structured lessons, and steady communication with parents. If you take teaching seriously and want a long term, stable role, we would like to meet you.

Responsibilities

• Teach individual and group violin lessons for children and adults

• Prepare students for ABRSM, Trinity, and LCME examinations, recitals, and competitions

• Guide and support students during school concerts, showcases, and external events

• Deliver engaging, structured lessons using the school’s curriculum and materials

• Track each student’s progress and communicate clearly with parents

• Work collaboratively with the teaching team to maintain consistent standards

• Explain course structure, learning materials, and progress updates to parents confidently

• Maintain a positive, safe, and orderly learning environment

• Participate in all official school events and school activities

Requirements

• Diploma qualification or higher in Violin (ABRSM, Trinity, LCME, or equivalent)

• Strong communication and interpersonal skills

• Professional, responsible, and committed to student progress

• Able to work independently and in a team

• Able to commit on weekends

We are hiring a part time singing teacher to join our team. Our school focuses on clear progress, structured lessons, and steady communication with parents. If you take teaching seriously and want a long term, stable role, we would like to meet you.

Responsibilities

• Teach individual and group singing lessons for children and adults

• Prepare students for ABRSM, Trinity, LCME, and Rockschool examinations, recitals, and competitions

• Guide and support students during school concerts, showcases, and external events

• Deliver engaging, structured lessons using the school’s curriculum and materials

• Track each student’s progress and communicate clearly with parents

• Work collaboratively with the teaching team to maintain consistent standards

• Explain course structure, learning materials, and progress updates to parents confidently

• Maintain a positive, safe, and orderly learning environment

• Participate in all official school events and school activities

Requirements

• Diploma qualification or higher in Voice, Singing, Vocal Performance, or equivalent

• Familiar with ABRSM, Trinity, LCME, and Rockschool singing examinations

• Strong communication and interpersonal skills

• Professional, responsible, and committed to student progress

• Able to work independently and in a team

• Able to commit on weekends

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.

Manufacturing Technician (Electrical Industry

• Work Location: Yishun, Singapore
• Working Hours: Mon – Fri 8.15am – 6pm
• Monthly Salary: Base up to $2000 + OT + Variable Bonus (VB), Gross up to $3000
• Employment Type: Full time, Permanent Contract

Company Overview

This is a Singapore-based engineering solutions provider operating in the electrical and power systems sector. The company offers a range of services including equipment manufacturing, repair, and integration, supporting industries such as commercial, industrial, and institutional. Its operations emphasize reliability, efficiency, and adherence to industry standards, with capabilities spanning design, installation, and maintenance.

Responsibility

• Perform testing and commissioning of LV electrical equipment, switchgear, and automation systems.

• Conduct maintenance, overhaul, and conversion work on electrical equipment to ensure optimal performance.

• Troubleshoot and resolve technical issues related to LV electrical equipment and switchgear.

• Prepare detailed service and maintenance reports upon completion of tasks.

• Ensure all work complies with quality standards, safety regulations, and promotes excellent customer service.

• Provide support for other technical or service-related duties as assigned by supervisors.

Requirements

• No prior experiences are welcome to apply as training will be provided
• Access to own a motorbike for work-related travel
• Candidate who can start immediately or within short notice will be preferred

Email resume to harrychen@recruitlync.com or WhatsApp +65 88583584 (Texting only No calling, thanks!) Good Luck!

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

About Us

We are an established coffee manufacturing company in Singapore with over 60 years of history and approximately 25 % market share locally.

We operate in a stable and consistent business environment with strong cash flow and long term growth.

About Your Role

This is a key role to take over from a long serving finance head.

This is not a corporate reporting role.

This is a hands on position focused on accounting accuracy, ERP system support, and daily operational coordination within a manufacturing environment.

Ability to communicate in both English and Chinese is required, as this role involves working closely with Chinese speaking team members.

We are looking for someone practical, reliable, and comfortable working closely with operations and different departments.

Key Responsibilities

-Accounting and Finance

• Oversee full set accounts and month end closing

• Review and supervise a team of 4 to 5 accounting staff

• Ensure GST compliance and audit readiness

• Manage cash flow in a stable operating environment

-ERP and Systems

• Support and improve newly implemented ERP system

• Troubleshoot accounting and operational issues within ERP

• Ensure accurate data flow across departments

• Work closely with users to improve system usage

-Operations and Compliance

• Work closely with warehouse and operations team

• Support inventory tracking and accuracy

• Maintain documentation for ISO22000 and HACCP standards

• Support Halal certification requirements

• Oversee export documentation and coordination

Requirements

• Degree or Diploma in Accounting or Finance

• 8 to 15 years of accounting experience

• Strong full set accounting knowledge

• Experience managing a small team

• Comfortable in SME and hands on environment

• Able to communicate in both English and Chinese

Preferred

• Manufacturing or inventory experience

• Strong ERP system experience

• Practical and problem solving mindset

• Good communication skills across departments

Working Hours

5 day work week

Monday to Thursday:

8am to 6pm (1 hour lunch break)

Friday:

8am to 5pm (1 hour lunch break)

This role may occasionally require extended hours during month end closing, ERP related matters, or urgent operational needs.

Occasional Saturday support may also be required when necessary.

Time off in lieu will be provided.

Salary

SGD 4,500 to 5,000

Ideal Candidate

We are looking for a stable and responsible individual who prefers long term growth over frequent job changes.

Someone who is hands on, detail oriented, good with people, and comfortable working closely with operations, systems, and different department managers.

Responsibilities

• Assist in managing tendering, procurement, and subcontract administration to support project delivery
• Prepare detailed cost estimates, budgets, and financial reports to inform project financial planning
• Evaluate claims, variation orders, and final accounts to ensure accurate financial reconciliation
• Liaise with consultants and subcontractors on contractual matters to facilitate clear communication and issue resolution
• Monitor project costs continuously and highlight potential overruns to enable timely corrective actions
• Ensure compliance with standard contracts (SIA/PSSCOC) to maintain contractual integrity and risk management

Job Description

We are seeking an experienced and highly organized Construction Project Manager to oversee our upcoming building projects from inception to completion. You will be responsible for ensuring that projects are delivered on time, within budget, and in accordance with Singapore’s stringent safety and quality standards.

The ideal candidate is a strategic thinker with a "boots-on-the-ground" approach, capable of managing diverse stakeholders, including consultants, subcontractors, and government authorities (BCA, MOM, NEA).

Key Responsibilities

• Project Planning & Execution: Lead the end-to-end project lifecycle, including site mobilization, progress monitoring, and final handover.

• Budget & Cost Control: Manage project cash flow, verify progress claims, and ensure the project remains within the approved budget.

• Stakeholder Management: Act as the primary point of contact for clients, architects, and engineers. Lead site meetings and provide regular progress reports.

• Regulatory Compliance: Ensure all works comply with Building and Construction Authority (BCA) regulations and Workplace Safety and Health (WSH) standards.

• Resource Coordination: Supervise site engineers, supervisors, and subcontractors to ensure manpower and materials are optimized.

• Risk Management: Proactively identify potential delays or technical issues and implement effective mitigation strategies.

Job Requirements

Qualifications & Experience:

• Education: Bachelor’s Degree in Civil Engineering, Building Science, Project Management, or a related field (recognized by PE Board or BCA).

• Experience: Minimum of 5–8 years of experience in the Singapore construction industry, with at least 3 years in a managerial capacity.

• Technical Knowledge: Familiarity with local building codes, PSSCOC (Public Sector Standard Conditions of Contract), and BIM (Building Information Modeling).

Skills & Competencies:

• Leadership: Proven ability to lead large, multi-disciplinary teams on-site.

• Software Proficiency: Skilled in Microsoft Project, Primavera, or AutoCAD.

• Communication: Excellent command of English (written and spoken) to handle technical documentation and client presentations.

• Certification: Possession of a Certificate in Workplace Safety & Health (WSH) or a Project Management Professional (PMP) certification is a significant advantage.

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.