Senior Data Scientist
Tasks
- Build and deploy LLM-powered applications
- Build scalable data pipelines
- Deploy AI and ML models to production
- Design and implement RAG pipelines
- Design and implement machine learning models
- Develop intelligent automation solutions
- Develop semantic search and document intelligence solutions
- Ensure data governance, privacy, and security compliance
- Ensure scalability, reliability, and performance
- Evaluate and benchmark ML and LLM performance
- Fine-tune models with domain data
- Implement model monitoring and alerting
- Implement responsible AI practices
- Integrate AI solutions with internal systems and APIs
- Manage model versioning and lifecycle
- Optimize prompt engineering workflows
- Support CI CD pipelines for ML deployments
- Support model explainability and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Azure | CI/CD | Data Pipelines | Data Preprocessing | Data Warehousing | Docker | ETL | Embeddings | Feature Engineering | Fine Tuning | Git | Google Cloud | Hugging Face | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Vector Search
Education
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