- Develop methods to learn from noisy and incomplete signals such as salesperson actions, buyer responses and transactions.
14 days
1,000+ Machine Learning Engineer Jobs - November 2026 - High Salaries - Page 11
Showing 1,052 jobs results for
"machine learning engineer"
MLOps Engineer - Model Deployment Engineer - Machine Learning Platform Engineer
- Understanding of machine learning workflows, model artifacts, training and inference, and deployment considerations
18 days
AI Test Engineer - Machine Learning QA Analyst - AI Validation Engineer
- Familiarity with AI and ML testing practices, including data validation, model robustness checks, and bias detection.
12 days
AI Research Engineer - Applied Scientist - Machine Learning Researcher
- Familiarity with programming languages such as Python and machine learning frameworks including PyTorch, TensorFlow, or Scikit-learn.
17 days
- Knowledge in deep neural networks (CNN, RNN, LSTM, and Transformer)
23 days
AI Test Engineer - Machine Learning QA Analyst - AI Validation Engineer
- Experience with software testing or QA for machine learning systems, including automated testing and CI/CD integration.
17 days
AI - ML Engineer (Python - Machine Learning | Immediate Hiring)
- Variable Bonus
17 days
- Familiarity with machine learning concepts, model performance metrics, and the effects of data quality on system results
19 days
- Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
30+ days
- ML Pipeline Contribution: Package models in Docker; contribute to CI/CD scripts under guidance; run inference tests and support deployment validation in product development environments.
30+ days
- Holds a doctoral degree, with preference for candidates majoring in Computer Science, Software Engineering, or related fields.
22 days
- Collaborate with the business and algorithm teams to identify performance issues, provide full stack performance analysis, bottleneck diagnosis, and optimization solutions, consolidate general-purpose performance optimization components, toolchains, and platform capabilities, and empower multiple internal business.
23 days
- Recognition and rewards for excellence: We grow together with exceptional people — and it’s never too late to join. We’ve enhanced our reward system to recognize high performance, offering more opportunities for outstanding individuals to take on key projects and fully unleash their potential.
22 days
AI-ML Engineer (IT- Machine Learning- No exp ok!- Tuas)
- Support model training, evaluation and alarm threshold tuning, and document results for review.
22 days
- Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
24 days
- Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
25 days
- Ensure consistency, portability, reliability, and scalability of model execution
30+ days
- Recognition and rewards for excellence: We grow together with exceptional people — and it’s never too late to join. We’ve enhanced our reward system to recognize high performance, offering more opportunities for outstanding individuals to take on key projects and fully unleash their potential.
30+ days
Senior AI Engineer
- Develop and maintain scalable data pipelines supporting AI applications and knowledge systems
2 days
Senior Ai Engineer
- Take automation from pilot to rollout, using real data to find gaps and report results
2 days
- Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
2 days
Senior AI Engineer
- Practical understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.
2 days
2 days
Advanced Engineer (High-Efficiency AI Computing)
- Partner closely with IC design teams to ensure to deliver comprehensive technical specifications, rigorous benchmark reports, and high-value patent proposals.
1 day
Full Stack Engineer (AI)
- Integrate new solutions with core banking and data platforms through APIs
3 days
- Evaluate and optimise foundation models on Amazon Bedrock based on performance, accuracy, latency, scalability and cost.
3 days
Engineering Lead – Data, Search - AI
- Hands-on Technical Leadership: Stay technically involved and step in when needed to write code, debug issues, review architecture and resolve complex engineering problems.
3 days
AI Engineering - Consultant - Specialist (Based in Singapore)
- Develop AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
3 days
AI Development Engineer
- · Design and implement AI software and architecture
3 days