Lead GenAI Data Scientist – Enterprise LLMs

American International Group; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive benefits package

Professional development opportunities

Job summary

A global insurance leader is seeking an experienced Data Scientist to spearhead the development and delivery of innovative generative AI solutions. Candidates should have over 8 years of engineering experience, strong proficiency in Python, and expertise in NLP and ML. This role involves collaboration across departments to ensure technical implementation aligns with business goals. Enjoy comprehensive benefits that prioritize your professional development and overall wellbeing while contributing to a culture of inclusion and belonging.

Qualifications

• 8+ years of Engineering Experience in a development environment.
• 6+ years of experience in a data science role with focus on NLP and ML.
• 3+ years of experience with open-source Large Language Models.

Responsibilities

• Lead the development and successful delivery of data science and generative AI solutions.
• Monitor solutions in production to ensure performance, reliability, and accuracy.
• Partner with cross-functional teams to translate requirements into technical reality.

Skills

Engineering Experience

Data Science

NLP

Machine Learning

Python

Education

Master’s degree in data science, Computer Science, or related field

Tools

PyTorch

Pandas

Scikit-learn

Apache Spark

PySpark

Job description

A global insurance leader is seeking an experienced Data Scientist to spearhead the development and delivery of innovative generative AI solutions. Candidates should have over 8 years of engineering experience, strong proficiency in Python, and expertise in NLP and ML. This role involves collaboration across departments to ensure technical implementation aligns with business goals. Enjoy comprehensive benefits that prioritize your professional development and overall wellbeing while contributing to a culture of inclusion and belonging.