Machine Learning Engineer
Tasks
- Build reliable data pipelines
- Deploy ML models in scalable pipelines
- Design production ML systems
- Develop ML features for optimization and prediction
- Implement LLM capabilities in production
- Implement automated testing pipelines
- Integrate ML into software services
- Manage model lifecycle and governance
- Set up experiment tracking and monitoring
- Use MLOps tooling for training and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Beam | Data Versioning | Experiment tracking | Fine Tuning | Kubernetes | LLM | Langchain | MLOps | MLflow | Model Governance | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformer
Education
N/A
Regions
Countries
States
Cities
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