Sr. ML Engineer – ML & Applied AI
SF - 2 Folsom, United States
USD 160K-190K (estimate) Senior-level Full Time
Tasks
- Architect production ML systems
- Build distributed data processing workflows
- Build end-to-end ML pipelines
- Design feature stores
- Develop model serving systems
- Drive model retraining and drift detection
- Enable batch and real-time inference
- Ensure code quality testing documentation and reproducibility
- Implement MLOps best practices
- Set up model monitoring and observability
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Cloud Computing | Docker | Drift Detection | Experiment tracking | FastAPI | Feature Engineering | Flask | GCP | Git | Kubernetes | Language Models | Large Language Models | MLOps | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Model Training | Model versioning | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Spark | TensorFlow | Vector Databases | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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