AI Tech Lead
RMZ Ecoworld 32, India
INR 2100K-3307K (estimate) Senior-level Full Time
Tasks
- Define AI system architecture including data pipelines feature embedding stores model serving and APIs
- Develop MLOps processes for model versioning reproducibility automated training model registry and deployment strategies
- Develop and review code for data processing training pipelines inference services prompt orchestration and evaluation harnesses
- Drive performance optimization for latency throughput scalability and inference cost
- Ensure responsible AI practices including data privacy security bias detection explainability content safety and auditability
- Implement GenAI patterns including RAG embeddings vector search caching guardrails prompt management and hallucination mitigation
- Lead end to end AI ML and GenAI delivery from design through production and support
- Mentor engineers and data scientists and conduct design and code reviews
- Own engineering standards for model development testing CI CD deployment observability and reliability
- Troubleshoot production issues lead root cause analysis and reliability improvements
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Azure | Azure Machine Learning | CI/CD | Data Lineage | Data Quality | Deep learning | Docker | Drift Detection | ELT | ETL | Embeddings | Evaluation | Feature Engineering | GRPC | GenAI | Guardrails | IAM | Inference Optimization | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Registry | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | RAG | RBAC | REST | SQL | Scikit-learn | Secrets management | TensorFlow | Training pipelines | Vector Databases
Education
Roles
AI | AI Tech Lead | Lead | Tech Lead
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