Sr. Machine Learning Engineer
INR 2500K-3800K (estimate) Senior-level Full Time
Tasks
- Build Agentic AI workflows
- Define AI native application best practices
- Design build and deploy production grade machine learning systems
- Develop and optimize NLP solutions
- Develop ranking recommendation prediction and classification models
- Execute full ML lifecycle end to end
- Implement retrieval based systems and transformer models
- Improve reliability latency scalability and observability
- Mentor junior engineers
- Support experimentation evaluation deployment and monitoring
Perks/Benefits
- ERG events
- Equipment provided
- Health coverage
- Holidays
- Learning and development
- Paid parental leave
- Paid time off
- Remote work support
- Self-care days
- Stock options
- Wellness education sessions
Skills/Tech-stack
AWS | Amazon Bedrock | Classification | Data Exploration | Databricks | Distributed Systems | Embeddings | Experimentation | Feature Engineering | Langchain | Langgraph | Language Processing | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | NLP | Natural Language | Natural Language Processing | Observability | Optimization | Prediction | Prompt engineering | PyTorch | Python | RAG | Ranking | Recommendation Systems | Retrieval-Augmented Generation | TensorFlow | Transformer | Vector Databases
Education
N/A
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