Senior Machine Learning Engineer
Tasks
- Build end-to-end ML pipelines
- Create dashboards and reports
- Deploy and operate machine learning models in production
- Develop runtime monitoring and alerting
- Implement MLOps model versioning and experiment tracking
- Integrate ML services via APIs batch pipelines or event driven processes
- Lead model selection, validation, and optimization
- Mentor junior data scientists
- Set up monitoring for model performance and data drift
- Translate business problems into structured analyses
- Troubleshoot and optimize model performance latency and cost
- Write maintainable production code with CI CD
Perks/Benefits
Skills/Tech-stack
Bitbucket | CI/CD | Data Drift | Databricks | Embeddings | Experiment tracking | Feature Engineering | Git | LLM | MLOps | MLflow | Machine Learning | Model Evaluation | Model versioning | Monitoring | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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