AI Engineer, BI&A Data Science & AI
IN: Lilly Bengaluru, India
INR 2475K-3500K (estimate) Senior-level Full Time
Tasks
- Apply software engineering best practices for ML AI systems
- Build agentic AI systems with tool use
- Build deployment architecture for ML AI projects
- Contribute to MLOps frameworks
- Define implementation patterns for LLM retrieval systems
- Deploy and orchestrate ML AI workloads
- Design CI CD pipelines for ML and AI deployments
- Develop and deploy production LLM applications
- Implement LLMOps with prompt versioning and evaluations
- Integrate vector databases for semantic search
- Manage model lifecycle including deployment monitoring retraining and decommissioning
- Monitor LLM application cost and latency
- Monitor production models for data drift and model drift
- Translate requirements into scalable technical solutions
- Triage and resolve model performance issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Automated retraining | CI/CD | CloudWatch | Data Drift | Docker | EC2 | ECS | Evaluation Pipelines | GitHub | Guardrails | IAM | Kubernetes | LLMOps | Lambda | Langgraph | MLOps | Machine Learning | Model Drift | Model Monitoring | Model lineage | Model versioning | Pinecone | Prefect | Prompt engineering | Prompt versioning | Python | Retrieval-Augmented Generation | S3 | Scrum | Semantic Search | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | ML Engineer
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