Machine Learning Engineer
- Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
30+ days
100+ Senior Machine Learning Engineer Jobs - November 2026 - High Salaries - Page 4
Showing 109 jobs results for
"senior machine learning engineer"
Senior AI-ML Engineer (US MNC)
- · Perform data cleaning, EDA, feature engineering, and model experimentation.
30+ days
- Provide support on other part of the system (not limited to Machine Learning)
30+ days
Senior AI-ML Engineer (US MNC)
- · Implement prompts, prompt chains, and RAG components based on specifications.
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
Machine Learning Engineer
- Optimise models and systems for performance, scalability, and reliability in production environments
30+ days
Machine Learning Engineer
- Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
30+ days
Machine Learning Engineer
- Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability.
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
Machine Learning Engineer
- Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads
30+ days
Machine Learning Engineer
- Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
30+ days
- Provide support on other part of the system (not limited to Machine Learning)
30+ days
- Automate delivery and operations:Build CI/CD and CI/CT pipelines for application, data, and ML workloads. Establish versioning, testing, packaging, deployment, approval, rollback, and environment-promotion practices using modern source-control and pipeline tooling.
30+ days
- Design, test, and iterate on prompts, agents, and orchestration flows using frameworks such as LangChain, LlamaIndex, or similar.
3 days
9 days
Principal Engineer, Machine Learning
- Data-to-Model Interface Ownership: Own the data contract between the Data Engineer and the ML model stack. Define feature specifications, validate datasets against model input requirements, and escalate data quality issues before they reach the training pipeline.
9 days
13 days
- Data-to-Model Interface Ownership: Own the data contract between the Data Engineer and the ML model stack. Define feature specifications, validate datasets against model input requirements, and escalate data quality issues before they reach the training pipeline.
19 days
- Data-to-Model Interface Ownership: Own the data contract between the Data Engineer and the ML model stack. Define feature specifications, validate datasets against model input requirements, and escalate data quality issues before they reach the training pipeline.
30+ days