Lead Data Scientist - GenAI
USD 112K-188K (estimate) Senior-level Full Time
Tasks
- Apply model lifecycle management with MLflow
- Build Agentic AI workflows
- Build end to end ML pipelines in production
- Build machine learning and generative AI solutions using RAG
- Develop LLM powered applications with Azure OpenAI
- Develop end-to-end analytics solutions
- Evaluate ethical implications of AI
- Implement document intelligence solutions
- Monitor model performance and governance
- Orchestrate workflows with LangGraph
- Present analytics solutions to business audiences
- Solve business problems with data science
- Translate business needs into analytics solution designs
- Use CI/CD for deployment
Perks/Benefits
Skills/Tech-stack
Agentic AI | Azure OpenAI | Bedrock | CI/CD | Deep learning | Document Intelligence | GAN | Generative AI | Git | Huggingface | Jumpstart | LLM Evaluation | LSTM | Langgraph | Language Models | Large Language Models | Llama | MLflow | Machine Learning | Model Governance | Monitoring | Prompt engineering | Python | RAG | RNN | Red Teaming | Retrieval-Augmented Generation | SQL | Sequential Models | Supervised Learning | Transfer Learning | Transformers | Unsupervised Learning | VAE | Version control | Virtual environments
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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