GenAI Data Scientist – LLMs in Production

Ontologize, Inc.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

AIG is seeking a Data Scientist to join a brand-new Generative AI team focused on enterprise-grade LLM and ML solutions. You will contribute across architecture, development, and delivery, collaborating with product managers, engineers, and business leaders to translate requirements into scalable AI systems.

The role emphasizes hands-on implementation, model evaluation, and production-readiness within an agile environment. Strong Python, PyTorch, and NLP expertise are essential for success.

Qualifications

• 5+ years of data science experience with emphasis on NLP and ML.
• Proven delivery of GenAI/ML projects from conception to production.
• Expert-level Python and its data science stack (PyTorch, Pandas, Scikit-learn).
• 5+ years practical experience with open-source LLMs (Llama 3, Mixtral, etc.) including prompt engineering and fine-tuning.
• 3+ years building Generative AI solutions with RAG, validation pipelines, observability, and monitoring.

Responsibilities

• Lead end-to-end development of data science and generative AI solutions per business needs.
• Monitor production solutions for performance, reliability, and accuracy.
• Collaborate with product managers, engineers, and leaders to translate requirements into tech solutions.
• Build evaluation frameworks to measure LLM efficacy and data quality.
• Design scalable ML pipelines and RAG architectures integrated with enterprise data.

Skills

NLP

ML

Python

LLM

Education

Master's degree in data science or CS

Tools

PyTorch

Pandas

Scikit-learn

Job description

AIG is seeking a Data Scientist to join a brand-new Generative AI team focused on enterprise-grade LLM and ML solutions. You will contribute across architecture, development, and delivery, collaborating with product managers, engineers, and business leaders to translate requirements into scalable AI systems.

The role emphasizes hands-on implementation, model evaluation, and production-readiness within an agile environment. Strong Python, PyTorch, and NLP expertise are essential for success.