Description

Develop deep learning and Large Language Model capabilities for insurance contracts, medical records, and customer logs. Design, optimize, and evaluate high-quality prompts and templates to control LLM behavior and accuracy.

This role is hybrid.

Responsibilities

• Scale LLM models through unsupervised pre-training, fine-tuning, and retrieval-augmented generation in production.
• Build and execute advanced data-driven experiments using causal inference and ML techniques to optimize business outcomes.
• Package and deploy predictive models and AI solutions in cooperation with Data Engineers and MLOps.
• Evaluate models on statistical tests, business metrics, and regulatory bias.
• Process unstructured data sources and perform data wrangling and ETL.

Required Skills

• 5+ years of experience in Data Science with a focus on Generative AI.
• Strong proficiency in Python, PyTorch, and TensorFlow.
• Expertise in Natural Language Processing (NLP) and Large Language Model architectures.
• Experience with data wrangling, ETL, and processing unstructured data sources.
• Ability to evaluate models on statistical tests, business metrics, and regulatory bias.
• Any Graduate degree; PhD preferred with 2+ years or Master's with 4+ years in Statistics.

Preferred Skills

• Experience in insurance or financial services risk management and underwriting.

Key Skills

Education

Any Graduate