Senior Principal AI/ML Engineer
United States - Santa Clara : Building B - SC, United States
USD 148K-297K Senior-level Full Time
Tasks
- Architect secure scalable hybrid ML infrastructure
- Build and maintain AI platform
- Collaborate with data scientists infrastructure specialists and algorithm teams
- Develop data ingestion annotation feature engineering training validation deployment monitoring
- Ensure HIPAA GDPR and SaMD compliance
- Establish production grade MLOps capabilities
- Implement CI/CD workflows for ML models
- Integrate GenAI grounding RAG and agentic AI workflows
- Lead end-to-end ML solutions development
- Lead mentoring and architectural design reviews
- Test rollout rollback and compliance governance for models
Perks/Benefits
- Health Investment Plan PPO Medical Coverage
- Retirement savings plan tuition reimbursement
- Student debt program education benefit
Skills/Tech-stack
AWS | Agentic AI | Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure ML | Azure ML SDK | By Design | CI/CD | Cloud Computing | Data Annotation | Data Factory | Data Generation | Data Modeling | Data Versioning | Data anonymization | Databricks | Distributed Systems | Docker | Experiment tracking | Feature Engineering | Federated Learning | GDPR | GenAI | Google Cloud | Grounding | HIPAA | Infrastructure as Code | Kanban | Kubernetes | ML SDK | MLOps | Machine Learning | Medical Device | Microservices | Model Monitoring | Model Serving | Model Training | NoSQL | Observability | Prompt engineering | RAG | Retrieval-Augmented Generation | SQL | SaMD | Scrum | Security by design | Software as a Medical Device | Synthetic Data Generation | Synthetic data | Terraform | “as-code”
Education
Regions
Countries
States
Cities
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