Senior Staff data science engineer
Milpitas, CA, United States
USD 141K-206K (estimate) Senior-level Full Time
Tasks
- Architect production-grade AI/ML systems
- Build MLOps pipelines CI CD model registry monitoring drift detection
- Build RAG pipelines
- Build data pipelines and feature engineering frameworks
- Collaborate cross functionally to translate requirements into solutions
- Create evaluation frameworks for GenAI
- Deploy generative AI solutions
- Develop knowledge driven intelligent systems
- Develop machine learning statistical and optimization models
- Ensure model reproducibility observability and governance
- Establish accuracy scalability latency cost efficient patterns
- Implement real-time and batch inference systems
- Lead AI/ML solution design and development
- Mentor engineers and data scientists
- Operationalize models into production systems
- Perform end to end data science feature engineering modeling validation
Perks/Benefits
- Disability insurance
- Employee assistance program
- Flexible spending account
- Health savings account
- Life insurance
- Medical, dental, and vision insurance
- Paid sick leave
- Paid vacation time
Skills/Tech-stack
Azure ML | Batch inference | CI/CD | Data Pipelines | Databricks | Distributed data | Drift Detection | Evaluation Frameworks | Experimentation | Feature Engineering | Fine Tuning | Generative AI | Governance | Kubeflow | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Fine-tuning | Model Registry | Model Training | Model Validation | Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG | Real Time | Real-time Inference | Reproducibility | Retrieval-Augmented Generation | Scikit-learn | Spark | Statistical modeling | TensorFlow
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
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