Internship September 2026 - Agentic AI for Semi-Automating the Data Science Workflow
Tasks
- Benchmark against prior art
- Conduct literature review on agentic data science
- Define human in the loop approval gates
- Design multi agent system components
- Evaluate prototypes on real world datasets
- Execute on Databricks compute
- Implement control and guardrail logic
- Implement feature engineering and modeling workflow
- Integrate system with Databricks Unity Catalog
- Run experiments and iterate prompts and architecture
- Share findings with team
- Support safe governed execution of generated code
- Trace agents and evaluate outputs
- Track experiments with MLflow
Perks/Benefits
- Collaborative learning
- Ethical and governed AI training
- Hands on research and engineering experience
- Networking with partners
- Opportunity for full-time role
- Opportunity to publish papers
Skills/Tech-stack
Agent Orchestration | Agent tracing | Apache Spark | Clean Code | Databricks | Databricks Compute | Deep learning | Experiment tracking | Function Calling | Gradient boosting | Language Models | Large Language Models | MLflow | Machine Learning | Multi-Agent | Multi-agent orchestration | Pandas | Polars | Prompt engineering | PyTorch | Python | Retrieval | Scikit-learn | TensorFlow | Testing | Tool-Calling | Unity Catalog | Version control
Education
Roles
AI | AI Research Intern | Data Science | Data Science Intern | Intern | Research Intern | Science Intern
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