Lead AI/ML Engineer
IN - GURUGRAM DLF DOWNTOWN BLOCK 4, India
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Architect agentic systems
- Automate evaluation pipelines for reliability
- Build data ingestion and transformation pipelines
- Define universal tool interfaces
- Deploy workloads with containerization and cluster orchestration
- Design multi-agent workflows
- Design retrieval architectures with vector databases
- Engineer state and memory for long running execution
- Establish safety and hybrid autonomy controls
- Implement LLMOps tracing and observability
- Implement agent communication patterns
- Implement near real time context retrieval
- Integrate and optimize model runtime
- Mentor engineers and set engineering standards
- Prototype advanced retrieval and reasoning approaches
- Translate agent needs into data contracts schemas and SLAs
Perks/Benefits
- Continuing education program
- Continuous learning resources
- Family-friendly perks
- Generous time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
Skills/Tech-stack
APIs | Async systems | CI/CD | Cluster Orchestration | Containerization | Context Management | Embeddings | Generative AI | Graph Databases | Graph Machine Learning | Inference Optimization | Knowledge graphs | Kubernetes | LLMOps | Language Models | Large Language Models | Latency optimization | Machine Learning | Machine Learning Engineering | Message passing | Model Evaluation | NoSQL | Prompt engineering | Python | Relational databases | Reliability Engineering | Retrieval-Augmented Generation | Secure Runtime | Vector Databases
Education
Roles
AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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