Senior AI & LLM Engineer - Production ML, Atlanta Hybrid

Capgemini; Atlanta (GA); Hybrid; USD 103,000 - 129,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, &

Paid time off

Parental leave

401(k)

Job summary

Capgemini is seeking a Data Scientist with extensive experience in Conversational AI, LLMs, and NLP to design, train, and deploy production AI solutions. You will validate architectures, optimize models, and collaborate with cross-functional teams to align AI with business goals.

Ideal candidates have 9+ years in AI and provide production-ready ML systems using TensorFlow, PyTorch, and Langchain, with cloud deployment across AWS, Google Cloud, or Azure. Hybrid onsite in Atlanta, GA.

Qualifications

• 9+ years of hands-on experience in AI development, data analysis, and machine learning techniques and experience putting Machine Learning models into production.
• Experience using Mlflow or similar tools for lifecycle management of machine learning models.
• Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models.
• Using Generative AI models in production and providing ongoing support.
• Familiar with TensorFlow and PyTorch for NLP, computer vision, and robotics.

Responsibilities

• Builds and trains machine learning models.
• Optimizes performance of AI systems.
• Ensures AI models operate efficiently and scales with data.
• Develops AI-driven solutions to streamline workflows.
• Troubleshoots and improves AI applications.
• Develops AI prototypes and test versions for feedback.

Skills

Conversational AI

LLMs

NLP

Machine Learning

MLOps

Cloud platforms

Mlflow

TensorFlow

PyTorch

Langchain

Tools

Mlflow

TensorFlow

PyTorch

Langchain

Job description

Capgemini is seeking a Data Scientist with extensive experience in Conversational AI, LLMs, and NLP to design, train, and deploy production AI solutions. You will validate architectures, optimize models, and collaborate with cross-functional teams to align AI with business goals.

Ideal candidates have 9+ years in AI and provide production-ready ML systems using TensorFlow, PyTorch, and Langchain, with cloud deployment across AWS, Google Cloud, or Azure. Hybrid onsite in Atlanta, GA.