663 AI And Machine Learning Specialists jobs in Singapore

We are seeking an experienced Machine Learning Engineer to contribute to the development of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning, software development, and experience with LangChain, LangGraph, and AI Agent frameworks.

The role is focused on designing and implementing scalable AI/ML systems that drive business outcomes. A solid understanding of statistical modeling, programming languages (e.g., Python), and data structures is essential.

• Develop and deploy machine learning models to solve complex problems;
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products;
• Design and implement data pipelines to collect, process, and analyze large datasets;
• Stay up-to-date with industry trends and advancements in AI/ML research.

This role offers a unique opportunity to work on challenging projects, develop your skills, and advance your career. You'll have access to a comprehensive range of training programs, opportunities for growth and professional development, and a dynamic work environment.

Are you passionate about AI and machine learning?

Join our DeepBrain team and help build innovative AI-powered solutions that create real-world impact. As an AI Engineer, you'll design, develop, and deploy cutting-edge machine learning models and applications to solve complex business problems.

You'll work with talented colleagues across the business to bring AI into products and services, optimize algorithms, and explore new possibilities in areas such as predictive analytics and Generative AI.

If you're excited to apply the latest AI advancements in a fast-paced and collaborative environment, we'd love to hear from you

• Build and deploy machine learning models to solve real-world business challenges.
• Train, fine-tune, and evaluate models for performance improvements.
• Work with software engineers and DevOps teams to integrate models into production (e.g., APIs, applications, real-time decision-making).
• Monitor and maintain models to ensure accuracy and reliability.
• Perform data analysis, generate insights, and share findings with stakeholders.
• Stay updated on the latest AI/ML research and tools to keep our solutions ahead of the curve.

• Hands-on experience building and deploying machine learning models.
• Strong skills in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Solid understanding of machine learning algorithms, statistics, and data analysis.
• Experience with Large Language Models (LLMs) or Generative AI is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) or distributed frameworks (e.g., Spark) is an advantage.
• Strong problem-solving, analytical, and communication skills.
• Passion for continuous learning and adapting to new technologies.

Why Join Us?

Be part of a team that's shaping the future of AI. You'll get to work on exciting projects, explore emerging technologies, and contribute to solutions that make a difference.

Your recruiter for this job:

WhatsApp Chally @ for a quicker response

Connect with me on LinkedIn:

Chally |

Talentsis Pte Ltd | EA No: 20C0312

Seagate Research Group (SRG) conducts research to transform Seagate's considerable technical expertise, innovation, and manufacturing excellence to develop innovative technologies for the rapidly growing datasphere.

SRG's Software and Applied AI Research section conduct research in applying Machine Learning for Seagate advance project, products, and processes.

We use State-of-the-Art ML methods to develop applications and Proof-of-Concepts. Our projects include applying ML in the following areas - Video Surveillance, Predictive Maintenance for HDD, optimizing data storage solution, Sensor-fusion for Augmented Reality and more.

As a Research intern, you will have the opportunity to apply ML techniques to a variety of impactful projects within SRG's Software and Applied AI Research team. These include:

• Applying predictive analytics for Hard Disk Drive (HDD) applications.

• Optimizing data flow throughput for Storage solutions with ML.

• Developing AI solutions tailored at the edge

• Profiling and analyzing AI workloads

• Engaging in simulation and modeling using Physics-Informed Machine Learning models (Theory-Trained Models)

• AI Driven Material Discovery

We are looking for someone who is:

• A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus.

• Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch.

• Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning.

• Keen to stay updated on the latest ML developments and trends, such as Generative AI, Transformers, GPT, GANs, Autoencoders, and Diffusion AI, Physics-informed Neural Network.

• Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn.

• Able to commit a full time Semester internship (Jan to Jul).

• Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics or a related field.

• Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java).

• Knowledge or experience in one or more of the following areas:

• Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications.

• Machine Learning for vision or natural language processing (NLP)

The Shugart site (named after Seagate's founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities

Location: Shugart, Singapore

Travel: None

We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have expertise in AI engineering, delivery, and governance, as well as excellent communication skills.

Key Responsibilities:

• Develop and maintain relationships with clients, colleagues, and partners across various contexts and formats.


• Harness expertise in AI engineering, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens.


• Make an outstanding contribution to a world-class AI and data team.

The following skills and qualifications are required for this role:

• Broad knowledge of data science and machine learning: NLP, computer vision, recommendation systems, reinforcement learning, and time series forecasting.


• Completed at least one hands-on AI development and deployment end-to-end.


• Exposure to software engineering and CI/CD principles: containerization, infrastructure/configuration as code, model, and data versioning.


• Exposure to a broad range of AI, data, and development tools: Jupyter, TensorFlow, PyTorch, DataRobot, H2O, Hugging Face, AWS Sagemaker, Google Vertex AI, Azure ML, MLFlow, Ignazio, Dataiku, IBM-360, MS Fair toolkit, Google PAIR, Docker, Kubernetes, Terraform, Ansible, and Datadog.


• Exposure to one or more cloud services: AWS, Azure, or GCP.


• Ability to rapidly acquire new AI and data skills.


• Strong ability to communicate with, develop, and maintain relationships with a broad range of clients, colleagues, and partners across various contexts and formats.

This role offers the opportunity to work on cutting-edge AI projects and contribute to the growth and development of a world-class AI and data team.

A track record on data science competitions such as Kaggle is highly desirable.

An excellent opportunity exists for an experienced Data Scientist to work on Generative AI and Machine Learning projects. This role involves close collaboration with stakeholders across departments to improve business processes and deliver impactful AI-driven outcomes.

• Own AI/ML use cases from ideation to production, including continuous monitoring and enhancement;
• Design and implement models to support advisor sales journeys and operational efficiency;
• Cross-functionally collaborate with data engineers, analysts, product teams, and business stakeholders to design and deliver robust AI/ML solutions;
• Translate business problems into technical requirements through proactive stakeholder engagement;
• Maintain detailed documentation covering dataset preparation, modeling approach, performance metrics, and workflow processes;
• Ensure all AI/ML solutions comply with data privacy laws and AI governance policies;
• Promote innovation and continuous improvement across AI/ML models and processes.

1. A degree in Information Technology, Computer Science, Engineering, Business, or Data Science;
2. At least 3 years of experience in a Data Science role, preferably within AWS cloud environments;
3. The ability to translate technical concepts into business use cases and obtain buy-in from stakeholders for the AI/ML use cases;
4. Experience in designing for GenAI models, including metrices and human-in-a-loop evaluation;
5. Exposure to SQL, Python, and Spark, AWS;
6. Experience in supervised and unsupervised ML techniques such as regression, clustering, and tree-based models;
7. A deep understanding of feature engineering, hyperparameter tuning, and model evaluation methods;
8. Hands-on experience implementing MLOps practices on AWS as well as AWS bedrock;
9. Familiarity with data warehouses and big data tools such as Redshift, BigQuery, Snowflake, Hive, S3;
10. Excellent communication and interpersonal skills, and the ability to work well with cross-organizational teams.

• AWS certifications;
• Prior experience in financial services, telecommunications, or consulting industries.

Should you be interested in this career opportunity, please send your updated resume to us at the earliest.

When you apply, you voluntarily consent to the disclosure, collection, and use of your personal data for employment/recruitment and related purposes in accordance with our Privacy Policy, available on our website.

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

Join to apply for the Research Engineer II (Computer Science/Computer Engineering/Electrical Engineering/Information System) role at Nanyang Technological University Singapore

Join to apply for the Research Engineer II (Computer Science/Computer Engineering/Electrical Engineering/Information System) role at Nanyang Technological University Singapore

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities

Cloud Application and Platform Group is a cutting-edge research group from CCDS. It is a leading research group in the area of Cloud Media Computing, Content Delivery Networks, Data Center architecture, and Big Data analytics. We are seeking for 1 motivated Research Engineer II in the topic of “Digital Twin for Advanced Battery Analytics”. The candidate is expected to take the following responsibilities:

• Collect and analyze battery data;
• Design, develop, and implement machine learning models using PyTorch or TensorFlow for battery applications, such as SoH/RUL predictions;
• Develop physics-based and data-driven models to characterize battery electrochemical process and health conditions;
• Work closely with team members/engineers and assist in developing new features;
• Ensure responsiveness of applications;
• Diagnose the issue and resolve it on demand.
  
  

• Preferably Master or Bachelor Computer Science, Computer Engineering, Electrical Engineering, Information System or a related discipline;
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Good understanding of OOPs concepts;
• Proficiency with Python;
• Familiarity with packages like NumPy, Pandas, PyTorch or Tensorflow;
• Excellent verbal communication skills and good problem solving skills;
• Able to test, debug and optimize existing code base and other features;
• Attention to detail.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Higher Education

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Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

Downtown Core, Central Singapore Community Development Council, Singapore 3 days ago

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Overview

Research Engineer I (Computer Science/AI/Machine Learning) at Nanyang Technological University Singapore (NTU Singapore).

NTU Singapore is a young and research-intensive university. NTU’s College of Computing and Data Science (CCDS) is a leading college known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. The college is ranked #2 for AI and Computer Science by US News Best Global Universities, and #8 for Data Science and AI by QS World University Ranking.

The CAP Group from Nanyang Technological University, Singapore, is seeking 1 motivated Research Engineer in the topic of Digital Twin. The candidate is expected to take the following responsibilities.

• Be responsible for developing the digital twin system for battery energy storage equipment using Python, and realize real-time simulation of equipment status, lifetime prediction, and optimal control.
• Build 3D visualization models, and develop data interfaces and interaction logic based on business logic and application requirements.
• Design and implement AI algorithms for battery/energy storage systems to improve the prediction accuracy and decision-making capabilities of the digital twin model.
• Participate in the requirement analysis of battery/energy storage/digital energy projects, and collaborate in completing the closed-loop verification of physical equipment and virtual models.
• Write technical documents, maintain code repositories, and conduct technical sharing for team members.

• A Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field.
• Proven backend development experience with a strong ability to build robust and scalable systems.
• Hands-on experience building with LLMs, agentic frameworks (e.g., LangChain), and/or generative AI.
• Expert-level programming skills in Python and deep familiarity with core ML/LLM libraries (e.g., PyTorch, Hugging Face, OpenAI APIs).
• Practical knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and designing agents that use external tools.

We regret that only shortlisted candidates will be notified.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Higher Education

Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x.

Overview
Research Engineer I (Computer Science/AI/Machine Learning) at Nanyang Technological University Singapore (NTU Singapore).
NTU Singapore is a young and research-intensive university. NTU’s College of Computing and Data Science (CCDS) is a leading college known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. The college is ranked #2 for AI and Computer Science by US News Best Global Universities, and #8 for Data Science and AI by QS World University Ranking.
The CAP Group from Nanyang Technological University, Singapore, is seeking 1 motivated Research Engineer in the topic of Digital Twin. The candidate is expected to take the following responsibilities.
Responsibilities
Be responsible for developing the digital twin system for battery energy storage equipment using Python, and realize real-time simulation of equipment status, lifetime prediction, and optimal control.
Build 3D visualization models, and develop data interfaces and interaction logic based on business logic and application requirements.
Design and implement AI algorithms for battery/energy storage systems to improve the prediction accuracy and decision-making capabilities of the digital twin model.
Participate in the requirement analysis of battery/energy storage/digital energy projects, and collaborate in completing the closed-loop verification of physical equipment and virtual models.
Write technical documents, maintain code repositories, and conduct technical sharing for team members.
Qualifications
A Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field.
Proven backend development experience with a strong ability to build robust and scalable systems.
Hands-on experience building with LLMs, agentic frameworks (e.g., LangChain), and/or generative AI.
Expert-level programming skills in Python and deep familiarity with core ML/LLM libraries (e.g., PyTorch, Hugging Face, OpenAI APIs).
Practical knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and designing agents that use external tools.
We regret that only shortlisted candidates will be notified.
Employment details
Seniority level: Entry level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Higher Education
Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x.
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Join to apply for the
Research Engineer II (Computer Science/Computer Engineering/Electrical Engineering/Information System)
role at
Nanyang Technological University Singapore
Join to apply for the
Research Engineer II (Computer Science/Computer Engineering/Electrical Engineering/Information System)
role at
Nanyang Technological University Singapore
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
Key Responsibilities
Cloud Application and Platform Group is a cutting-edge research group from CCDS. It is a leading research group in the area of Cloud Media Computing, Content Delivery Networks, Data Center architecture, and Big Data analytics. We are seeking for 1 motivated Research Engineer II in the topic of “Digital Twin for Advanced Battery Analytics”. The candidate is expected to take the following responsibilities:
Collect and analyze battery data;
Design, develop, and implement machine learning models using PyTorch or TensorFlow for battery applications, such as SoH/RUL predictions;
Develop physics-based and data-driven models to characterize battery electrochemical process and health conditions;
Work closely with team members/engineers and assist in developing new features;
Ensure responsiveness of applications;
Diagnose the issue and resolve it on demand.
Job Requirements
Preferably Master or Bachelor Computer Science, Computer Engineering, Electrical Engineering, Information System or a related discipline;
Independent, highly analytical, proactive and a team player
Excellent teamwork and verbal, written communication skills
Good understanding of OOPs concepts;
Proficiency with Python;
Familiarity with packages like NumPy, Pandas, PyTorch or Tensorflow;
Excellent verbal communication skills and good problem solving skills;
Able to test, debug and optimize existing code base and other features;
Attention to detail.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Higher Education
Referrals increase your chances of interviewing at Nanyang Technological University Singapore by 2x
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