DE&A - AIML - Auto ML
Bangalore, Karnataka, India
INR 2500K-3900K (estimate) Senior-level Full Time Found 12d ago
Tasks
- Build and secure LLM applications with authentication and telemetry
- Build data ingestion and transformation pipelines
- Define LLMOps/MLOps blueprints
- Design RAG architectures
- Develop prompt pipelines, retrieval chains, and tool integrations
- Drive SLA/SLO definitions and reliability practices
- Establish data governance policies
- Implement feature/knowledge stores and vector DBs
- Integrate orchestration frameworks and API gateways
- Introduce guardrails and evaluation tools
- Lead GenAI solution architecture for various use cases
- Lead technical reviews and team mentorship
- Operationalize embedding and vector indexing
- Partner with stakeholders on responsible AI policies
- Set up observability and cost monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Communication | Docker | ETL | Embeddings | GCP | GenAI architecture | Governance | Kafka | Kubernetes | LLM | Model selection | Prompt engineering | Python | RAG | Responsible AI | SQL | Security | Spark | Vector Databases
Education
Language: en |
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