GenAI Data Scientist

We are looking for an experienced Data Scientist. In this position you will drive clustering of adversarial prompts and build an automation for GenAI red teaming and sandboxing across models and providers. We’re looking for a hands-on technologist with deep experience in data clustering, big data, machine learning, and predictive modeling.

Responsibilities:

• Manage and analyze prompt data from multiple sources; clean, curate, normalize, and tag it for analysis.
• Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies.
• Develop ML models and predictive algorithms to automate red‑teaming (prompt generation, mutation, clustering, prioritization, labeling).
• Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility.
• Sandboxing and creation of safe environments for testing the models
• Evaluate prompts across GenAI models and endpoints
• Excellent communication, documentation, and cross‑team collaboration skills

Requirements:

• 5+ years programming in Python or R, SQL.
• 3+ years experience with Scikit‑Learn and PyTorch.
• Strong grasp of clustering, embeddings/NLP, and anomaly detection.
• Experience with Cradle, Apache Hadoop, Spark; experience scaling ETL and feature pipelines.
• At least M.Sc. in CS/EE/Math or related.
• Ph.D. is an advantage.
• Data visualizations with Tableau, Power BI, matplotlib.
• Experience with AWS including Lambda, S3, EC2.
• Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure.