Lead AI/ML Engineer
INR 2250K-4170K (estimate) Senior-level Full Time
Tasks
- Add observability and cost monitoring
- Architect agentic systems
- Automate evaluation for reliability
- Build data ingestion and transformation pipelines
- Create standardized tool interfaces
- Define agentic architecture roadmap
- Design multi-agent workflows
- Design safety and human in the loop controls
- Engineer state and memory for long running tasks
- Establish schemas and data contracts
- Implement LLMOps tracing and debugging
- Implement agent communication patterns
- Implement real time context retrieval
- Integrate and optimize LLM model runtimes
- Mentor engineers and set engineering standards
- Package and deploy workloads with containers
- Prototype and mature agent capabilities into production
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Agent systems | Async systems | CI/CD | Cloud Computing | Cluster Orchestration | Containerization | Context Management | Data Lakes | Data Warehousing | Embeddings | Graph Databases | Graph Machine Learning | Knowledge graphs | Kubernetes | LLMOps | Lakehouse | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NoSQL | Prompt engineering | Python | Relational databases | Reliability Engineering | Retrieval-Augmented Generation | Vector Databases | Vector Retrieval
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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