Senior AI/ML Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build RAG frameworks
- Build scalable AI data pipelines
- Create AI agents and orchestration workflows
- Create knowledge management frameworks
- Deploy machine learning and generative AI applications
- Deploy monitor and govern AI models
- Design machine learning solutions
- Develop prototypes and production systems
- Develop vector search and semantic retrieval
- Evaluate emerging AI technologies
- Implement CI/CD pipelines
- Implement batch and streaming processing
- Implement prompt engineering
- Integrate AI into enterprise data platforms
- Operationalize LLM powered applications
- Support production deployments and monitoring
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Agentic AI | Apache Spark | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure Event | Azure Event Hubs | Azure ML | CI/CD | Databricks | Docker | Drift Detection | Event Hubs | FastAPI | GitHub Actions | Hadoop | Jenkins | Kubernetes | LLM | MLOps | Machine Learning | Machine Learning Model | Machine Learning Model Monitoring | Model Drift | Model Drift Detection | Model Monitoring | PLSQL | Prompt engineering | PySpark | PyTorch | Python | RAG | REST API | Retraining Pipelines | SQL | Scala | Scikit-learn | Semantic Retrieval | Shell Scripting | Snowflake | TensorFlow | Vector Databases | Vector Search
Education
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