Lead Data Science Engineer
Chicago Illinois HQ (300 E. Randolph Street), United States
USD 121K-225K Senior-level Full Time
Tasks
- Create data pipelines
- Curate prepare train and fine tune models
- Deliver AI agents
- Develop evaluation frameworks
- Ensure data quality
- Evaluate and deploy machine learning models
- Implement chunking and embedding for RAG
- Ingest and curate data sources
- Manage and monitor AI models with MLOps
- Optimize existing data pipelines
- Perform prompt engineering
- Select and configure AI tools and platforms
- Work with multiple models
Perks/Benefits
- 401k savings plan
- Annual incentive bonus plan
- Disability insurance
- Employee assistance program
- Paid Holidays
- Paid parental leave
- Paid time off
- Pension plan
- Relocation not offered
- Supplemental life insurance
- Tuition reimbursement
Skills/Tech-stack
Azure ML | Azure OpenAI | Data Analysis | Data Pipelines | Databricks | Distributed Computing | ETL | Knowledge graphs | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Neo4j | Observability | Prompt engineering | PySpark | Python | SQL | Semi-structured | Semi-structured Data | Structured data | Unstructured Data
Education
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