Manager of AI/ML Engineering
INR 3000K-6000K (estimate) Senior-level Full Time
Tasks
- Architect and implement LLM RAG agentic AI and intelligent automation solutions
- Build mentor and manage AI ML engineering teams
- Conduct architecture reviews code reviews and technical design sessions
- Create technical documentation for AI ML deployments
- Define AI ML and generative AI roadmap aligned to business goals
- Drive platform reliability scalability security and compliance
- Establish engineering standards AI governance and operational best practices
- Implement MLOps CI CD model monitoring drift management and responsible AI
- Lead AI ML strategy architecture and delivery
- Lead project execution capacity planning vendor engagement and stakeholder communication
- Oversee end to end AI solution lifecycle design development testing deployment monitoring optimization
Perks/Benefits
Skills/Tech-stack
AI Search | Agentic AI | Agile | Apache Spark | Azure | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Databricks | Docker | Drift Detection | FastAPI | GenAI | GitHub Actions | Hadoop | Jenkins | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Machine learning lifecycle | Model Drift | Model Drift Detection | Model Monitoring | Model retraining | OpenAI | PL/SQL | Prompt engineering | PySpark | PyTorch | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Shell Scripting | Snowflake | TensorFlow | Vector Databases | Vector Search
Education
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