Senior Staff Data Science Engineer
Milpitas, CA, United States
USD 142K-219K (estimate) Senior-level Full Time
Tasks
- Architect production-grade AI/ML systems
- Balance accuracy scalability latency cost
- Build and deploy generative AI solutions
- Build and scale MLOps pipelines
- Build data pipelines and feature engineering frameworks
- Create knowledge driven systems
- Deliver decision support and automation
- Design GenAI evaluation frameworks
- Design machine learning models
- Develop agent-based systems
- Develop statistical and optimization models
- Ensure reproducibility observability and governance
- Frame end to end data science problems
- Implement CI/CD
- Implement rag pipelines
- Implement real-time and batch inference
- Integrate AI into enterprise workflows
- Maintain model registry
- Measure model impact
- Mentor engineers and data scientists
- Operationalize models for production
- Partner with cross-functional teams
- Perform feature engineering and validation
- Run model training and experimentation
- Set up monitoring and drift detection
Perks/Benefits
- Disability insurance
- Employee assistance program
- Flexible spending accounts
- Health savings accounts
- Life insurance
- Medical/Dental/Vision insurance
- Paid sick leave
- Paid vacation
Skills/Tech-stack
Apache Spark | Azure ML | Batch inference | CI/CD | Data Pipelines | Databricks | Distributed data | Drift Detection | Feature Engineering | Fine Tuning | Generative AI | Governance | Kubeflow | Kubeflow Pipelines | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Model Drift | Model Drift Detection | Model Evaluation | Model Registry | Model Validation | Monitoring | Observability | Optimization | Prompt engineering | PyTorch | Python | Real Time | Real-time Inference | Reproducibility | Retrieval-Augmented Generation | Scikit-learn | Statistical modeling | TensorFlow
Education
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