Senior Principal AI/ML Engineer
USD 148K-297K Senior-level Full Time
Tasks
- Architect hybrid ML infrastructure
- Collaborate with data scientists infrastructure specialists algorithm teams
- Conduct design and architectural reviews
- Design data ingestion annotation feature engineering training validation deployment monitoring
- Ensure HIPAA GDPR and SaMD compliance
- Establish testing rollout rollback strategies compliance governance
- Implement CI/CD workflows for ML models
- Implement production grade MLOps capabilities
- Lead end to end ML solution development and delivery
- Mentor and guide ML and software engineers
Perks/Benefits
Skills/Tech-stack
Agile | Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Azure ML | By Design | CI/CD | Data Factory | Data Modeling | Data Versioning | Data anonymization | Databases | Databricks | Distributed Systems | Docker | Experiment tracking | Federated Learning | Kanban | Kubernetes | MLOps | Machine Learning | Microservices | Model Serving | Model Training | Monitoring | NoSQL | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Scrum | Security by design | Synthetic data | Terraform
Education
Regions
Countries
States
Cities
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