AI & Intelligent Applications – Senior Manager
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Collaborate with business and engineering stakeholders
- Develop AI/ML strategy and roadmap
- Drive AI ML end to end delivery
- Drive cross-functional alignment
- Ensure AI ML scalability reliability performance
- Establish leadership practices
- Identify automation opportunities
- Implement Agile/Scrum practices
- Integrate emerging technologies IoT and digital twins
- Lead AI and Intelligent Applications initiatives
- Manage AI ML and automation teams
- Mentor and coach engineers
- Scale automation and analytics programs
Perks/Benefits
Skills/Tech-stack
ABAC | AI Governance | AWS Bedrock | AWS IAM | Active Directory | Amazon S3 | Amazon Web Services | Anthropic Claude | Audit Logging | Autogen | Azure | Azure Active Directory | Azure DevOps | Azure Key Vault | Azure OpenAI | CI/CD | CrewAI | Data Lineage | Data Privacy | Databricks | Embeddings | FinOps | GitHub Actions | Guardrails | HashiCorp Vault | Human-in-the-loop | IAM | Jenkins | Key Management | Key Management Service | Key Vault | Kubernetes | Langchain | Langgraph | Llamaindex | Milvus | NumPy | Observability | OpenAI | OpenSearch | PGVector | Pandas | Pinecone | Prompt engineering | PyTorch | Python | RBAC | Reliability Engineering | Retrieval-Augmented Generation | Scikit-learn | Semantic Kernel | Snowflake | TensorFlow | The Loop | Tool-Calling | Vector Databases | Weaviate | Web Services | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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