Manager AI-ML
Tasks
- Coordinate with platform DevOps security and integration teams for enterprise readiness
- Drive SDLC code reviews automated testing and production support
- Ensure experimentation validation and model performance assessment
- Guide architecture for LLM powered systems RAG and agent orchestration
- Lead and mentor AI engineers and data scientists
- Oversee machine learning model design development evaluation and operationalization
- Own end to end delivery of GenAI agentic AI and machine learning solutions
- Own hiring onboarding coaching and performance development
- Plan delivery milestones and release readiness
- Promote responsible AI security token and cost governance
- Review implementation for scalability security observability and cost awareness
- Scale reusable frameworks components and evaluation utilities
- Track delivery KPIs and production performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI Studio | AKS | Application Insights | Autogen | Azure AI | Azure AI Search | Azure AI Studio | Azure Monitor | Azure OpenAI | CI/CD | Cost Optimization | Databricks | Datadog | Deep learning | Distributed Systems | Docker | Embeddings | Event Driven | Event-driven architecture | Experiment tracking | Faiss | FastAPI | Feature Engineering | Generative AI | Kubernetes | Langchain | Language Models | Large Language Models | Log Analytics | MLOps | MLflow | Machine Learning | Microservices | Model Evaluation | Model Training | Model versioning | New Relic | Observability | Observability and monitoring | OpenTelemetry | Pinecone | Prompt orchestration) | Python | RAG | REST APIs | Retrieval-Augmented Generation | Secure SDLC | Semantic Kernel | Token governance | Tool-Calling | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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