AI/ML Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect cloud based AI ML resources
- Automate model workflows
- Build LLM-based assistants
- Build domain specific chatbots
- Build generative AI solutions
- Coordinate tasks across tools data and systems
- Deploy models
- Develop agentic AI workflows
- Develop end-to-end AI ML pipelines
- Document AI architectures and pipelines
- Evaluate models
- Implement GenAIOps practices
- Implement MLOps practices
- Implement retrieval-augmented generation
- Ingest data
- Manage model lifecycle
- Monitor model performance
- Participate in design reviews
- Test validate and tune models
- Train models
- Translate requirements into solution designs
- Version models and datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AI Studio | Azure | Azure AI | Azure AI Studio | Azure ML | CI/CD | Containers | Databricks | Deep learning | Docker | Embeddings | GenAI | GenAIOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | NumPy | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Kernel | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Engineering | Master of Science | Master of Technology
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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