Principal AI Engineer
Pune, Maharashtra, India
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build model access layer
- Design compliant AI systems for regulated environments
- Enable safe rollout and rollback
- Ensure multi tenant secure auditable deployments
- Establish model evaluation versioning approvals audit trails
- Implement governance for ML and LLM systems
- Integrate AI capabilities into platform workflows
- Integrate RAG and LLM tool use patterns
- Integrate workflow reproducibility standards
- Serve open weight and managed models
- Set operational monitoring incident playbooks SLOs
Perks/Benefits
- Continuous learning programs
- Employee assistance program
- Health insurance
- Hybrid work
- Life insurance
- Team events
- Unlimited paid time off
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | AWS | AWS Bedrock | Azure | CFR Part 11 | CWL | DRS | Docker | FHIR | FHIR R4 | FedRAMP | GA4GH | GCP | Go | Google Vertex | Google Vertex AI | GxP | HIPAA | IAM | Java | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Nextflow | OMOP | OpenAI API | Part 11 | Python | RAG | TRS | TypeScript | Vertex AI | WDL | WES
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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