Sr Data Scientist- Generative AI
Tasks
- Build Retrieval Augmented Generation systems
- Build scalable AI solutions with orchestration and MLOps tools
- Collaborate on responsible AI governance and compliance
- Create technical documentation and validation artifacts
- Design and deploy generative AI solutions using LLMs
- Develop AI agents and agentic workflows
- Develop model monitoring and observability frameworks
- Evaluate and optimize LLM performance
- Implement retrieval pipelines and vector search architectures
- Partner with stakeholders to identify and prioritize GenAI opportunities
- Perform exploratory data analysis and feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | CI/CD | Databricks | Deep learning | Embeddings | Explainable AI | Generative AI | Hugging Face | Information Extraction | Information Retrieval | LLM guardrails | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Prompt Optimization | Prompt engineering | PySpark | PyTorch | Python | Question Answering | Retrieval-Augmented Generation | SQL | Scikit-learn | Sentiment Analysis | Snowflake | Spark | Summarization | TensorFlow | Text Classification | Vector Search
Education
Roles
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