Sr. ML Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build NLP LLM and agentic systems
- Build distributed machine learning pipelines
- Collaborate with product and go-to-market to ship capabilities
- Deploy machine learning models
- Design retrieval based architectures
- Develop explainable ranking recommendation prediction models
- Explain work to technical and non-technical audiences
- Explore data and build models
- Implement multi-agent workflows
- Improve feature engineering and model evaluation
- Mentor engineers
- Monitor and iterate production models
- Optimize model performance scalability and reliability
- Own machine learning problems end to end
Perks/Benefits
- ERG events
- Equipment provided
- Health coverage
- Learning and development
- LinkedIn Learning access
- Paid parental leave
- Paid time off
- Quarterly self-care days
- Remote work support
- Stock options
- Wellness education sessions
Skills/Tech-stack
AWS | Agent systems | Amazon Bedrock | Applied statistics | Databricks | Distributed Systems | Embeddings | Explainable AI | Feature Engineering | Information Retrieval | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Optimization | Prediction | PyTorch | Python | RAG | Ranking | Recommendation Systems | Retrieval-Augmented Generation | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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