ml

About the job We are seeking an experienced Machine Learning Engineer to join a fast-growing technology company, building and scaling machine learning capabilities across its products and platforms. This is an opportunity to work at the intersection of machine learning, software engineering, and cloud infrastructure, taking ML solutions from experimentation...

Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised...

Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised...

About the job We are seeking an experienced Machine Learning Engineer to join a fast-growing technology company, building and scaling machine learning capabilities across its products and platforms. This is an opportunity to work at the intersection of machine learning, software engineering, and cloud infrastructure, taking ML solutions from experimentation...

Kerry Consulting is seeking an experienced Machine Learning Engineer to join a fast-growing technology company in Singapore. You will design, develop, and productionise ML models and services, collaborating with data scientists, software engineers, and product teams to scale ML capabilities across products. You will build and maintain ML platforms and MLOps...

GMP Technologies is seeking a Machine Learning / AI Engineer (Contract) to collaborate with data scientists and stakeholders to define ML solutions and deliver PoCs. You will deploy models in production and build scalable data pipelines with strong MLOps practices.Your role covers governance, documentation, and integration with enterprise platforms,...

Our client, one of Asia-Pacific’s leading organizations is looking for: ML/AI Engineer Responsibilities: Design, develop and deployAI/ML applications and Agentic AI solutions. Build AI agents usingLLMs, LangGraph, CrewAI or equivalent frameworks. Integrate AI solutions with enterprise databases, APIs and cloud platforms. Develop scalable Python...

Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech...

We are seeking an AI/ML Engineer to design, develop, and deliver AI-powered enterprise solutions. The role covers Agentic AI platforms, Retrieval-Augmented Generation (RAG), recommendation engines, predictive analytics, workflow automation, and enterprise knowledge management. The successful candidate will combine software engineering, machine learning, and...

We are looking for an experienced AI Engineer to develop, integrate, and deploy AI solutions for real-world applications.Key ResponsibilitiesDesign, develop, and deploy AI/ML models and solutions.Build AI applications using Python and AI/ML frameworks.Develop and integrate Generative AI, LLM, NLP, or Computer Vision solutions.Prepare and process data for...

The Role We’re looking for an Applied ML Engineer to build systems at the intersection of machine learning research and production software. The Role We’re looking for an Applied ML Engineer to build systems at the intersection of machine learning research and production software. This is an end-to-end engineering role. You should be comfortable reading...

Help us make video generation and processing more reliable, useful, and efficient. What You'll Do 01 Build and test models Develop models for video generation, processing, and analysis, then test them against real product needs. 02 Improve production behaviour Make existing models faster, more accurate, and reliable under practical constraints. 03 Build the...

ML/AI Engineer Work location- Paya Lebar The ML/AI Engineer is embedded within Data Analytics and AI Division (DSAD), working as part of the division's Fraud Analytics Model (FAM) team. Experience: 3-5 years of hands-on experience building and deploying ML/AI applications. This must include at least one LLM-enabled system delivered beyond prototype into...

## AI/ML ArchitectApply: Hybrid: Singapore: Full time: Posted Today: R- # About the Singapore AI Center of Excellence (COE)The Singapore AI Center of Excellence (COE) is a dedicated engineering and R&D hub focused on Enterprise and Sovereign AI. Our mission is to help organizations move AI workflows cleanly into production through two main paths:...

Role: ML/AI Engineer JD Working Hours Mon–Fri, 8:30am–6:00pm Key Responsibilities Agentic AI Architecture: Design the end-to-end architecture for FAM agentic AI solutions, including agent orchestration, workflow design, state management, tool integration, human approval points and system interactions, using suitable frameworks such as LangGraph or...

We are looking for an experienced AI Engineer to develop, integrate, and deploy AI solutions for real-world applications. Key Responsibilities Design, develop, and deploy AI/ML models and solutions . Build AI applications using Python and AI/ML frameworks . Develop and integrate Generative AI, LLM, NLP, or Computer Vision solutions. Prepare and process...

About the Role We are seeking an AI/ML Engineer with expertise in Generative AI and Data Science to build scalable, production-grade AI solutions for Global Financial Markets. In this role, you will design agentic AI platforms, recommendation engines, retrieval systems (RAG), and predictive models to drive market intelligence, client engagement, and...

Senior ML /AIWork location- Paya LebarThe ML/AI Engineer sits within the DSAD Platform and Architecture Team and is responsible for productionising, operating and improving machine-learning and AI workloads on the SWDA data platform using AWS and Databricks.Experience: Typically 4-7 years of relevant software, data or ML engineering experience, including...

Education: Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related technical discipline.Experience: 5 years of hands-on experience building and deploying ML/AI applications. This must include at least one LLM-enabled system delivered beyond prototype into operational use.Technical &...

ML/AI EngineerWork location- Paya LebarThe ML/AI Engineer is embedded within Data Analytics and AI Division (DSAD), working as part of the division's Fraud Analytics Model (FAM) team.Experience: 3-5 years of hands-on experience building and deploying ML/AI applications. This must include at least one LLM-enabled system delivered beyond prototype into...