AI Product Manager
RMZ Ecoworld 32, India
INR 2500K-4225K (estimate) Senior-level Full Time
Tasks
- Collaborate with platform teams on shared AI foundations
- Conduct design and code reviews
- Define AI system architecture
- Develop data processing and training pipelines
- Develop inference services and APIs
- Guide model selection and evaluation
- Implement MLOps processes
- Implement RAG and LLM patterns
- Implement responsible AI practices
- Lead end-to-end AI/ML delivery
- Mentor engineers and data scientists
- Optimize inference latency throughput and cost
- Own AI engineering standards
- Translate product requirements into technical specs
- Troubleshoot production issues and perform RCA
Perks/Benefits
- Collaborative environment
- Health and well-being benefits
- Inclusive workplace
- Mentorship opportunities
- Professional development opportunities
- Structured learning
- Work-life balance
- Workplace safety focus
Skills/Tech-stack
Azure | Azure Compute | Azure ML | Azure OpenAI | Azure Storage | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Data Lineage | Data Quality | Deep learning | Deployment Strategies | Docker | Drift Detection | ELT | ETL | Embeddings | Feature Engineering | GRPC | Guardrails | IAM | Kubernetes | Language Processing | Logging | MLOps | Machine Learning | Metrics | Model Evaluation | Model Monitoring | Model Registry | Model Training | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | RBAC | REST API | SQL | Scikit-learn | Secrets management | Secure Engineering | TensorFlow | Tracing | Vector Search
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