Senior GenAI Data Scientist – Production ML

Ontologize, Inc.; Atlanta (GA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Total Rewards Program

Job summary

AIG is building a brand-new Generative AI team to explore how AI can transform risk management and customer service. As a Data Scientist you will architect, develop, and deliver enterprise-level GenAI solutions, focusing on LL-мs, ML, and robust production pipelines.

You’ll collaborate with product managers, engineers, and leaders to translate requirements into scalable systems. You will design evaluative metrics, ensure model quality, and drive deployment in a fast-paced, production-oriented

Qualifications

• 8+ years of Engineering Experience in a development environment.
• 6+ years of experience in a data science role, with a strong emphasis on NLP and ML, in an agile production-oriented environment.
• 3+ years of practical experience with open-source Large Language Models (Llama 3, Mixtral, etc.), including prompt engineering, inference optimization, and fine-tuning.
• 3+ years of experience building Generative AI Solutions, including designing and building RAG frameworks, validation pipelines, observability, and monitoring solutions.
• Proven Delivery: Experience successfully delivering multiple GenAI, analytical, or ML projects from conception through to production.
• Python Expertise: Strong, expert-level proficiency in Python and its data science ecosystem (e.g., PyTorch, Pandas, Scikit-learn).
• Education: Master’s degree in data science, Computer Science, or a related quantitative field.

Responsibilities

• End-to-End Development: Lead the development and successful delivery of data science and generative AI solutions in accordance with business requirements.
• Production Oversight: Monitor solutions in production to ensure performance, reliability, and accuracy.
• Technical Collaboration: Partner with cross-functional teams including product managers, engineers, and business leaders to translate requirements into technical reality.
• Evaluation & Quality: Build robust evaluation frameworks to measure LLM efficacy, manage ground truth dataset quality, and guide the product development roadmap.
• Architecture: Design scalable ML pipelines and RAG frameworks that integrate seamlessly with enterprise data structures.

Skills

Engineering

Data science

NLP

Python

PyTorch

Prompt engineering

Production ML

Education

Master's degree

Tools

Llama 3

Mixtral

PyTorch

Pandas

Scikit-learn

Spark

Job description

AIG is building a brand-new Generative AI team to explore how AI can transform risk management and customer service. As a Data Scientist you will architect, develop, and deliver enterprise-level GenAI solutions, focusing on LL-мs, ML, and robust production pipelines.

You’ll collaborate with product managers, engineers, and leaders to translate requirements into scalable systems. You will design evaluative metrics, ensure model quality, and drive deployment in a fast-paced, production-oriented