Data Scientist Gen AI

EXL; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading data consulting firm is seeking a Data Scientist skilled in Generative AI for their Atlanta office. The role involves leading the development of LLM-based applications, collaborating with multidisciplinary teams, and ensuring model performance. Ideal candidates will have over 5 years in Data Science, strong Python skills, and experience with modern GenAI tools. Flexible and innovative thinking is essential as you design solutions for various business problems, impacting customer service, automation, and knowledge retrieval.

Qualifications

• 5+ years of experience in Data Science / ML.
• 1+ year hands-on in LLMs / GenAI projects.
• Strong Python skills, especially with ML libraries.

Responsibilities

• Design Generative AI solutions using LLMs.
• Collaborate to build AI applications and APIs.
• Evaluate model performance and mitigate bias.

Skills

Python programming

LLM experience

Data Science

Machine Learning

Communication

Tools

OpenAI

LangChain

Hugging Face

PyTorch

TensorFlow

Job description

On-site requirement: 4 days per week at Atlanta office

Job Summary

We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases.

The ideal candidate has a strong foundation in machine learning and NLP, with hands-on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar.

Key Responsibilities

• Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval.
• Fine-tune or adapt foundation models using domain-specific data.
• Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
• Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks.
• Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost.
• Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture.

Required Skills

• 5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects.
• Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow.
• Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models.
• Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques.
• Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask).
• Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices.
• Excellent communication skills with the ability to translate technical solutions into business impact.

Preferred Qualifications

• Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning.
• Knowledge of data privacy and security considerations in GenAI applications.
• Familiarity with enterprise architecture, SDLC, or building GenAI use cases in regulated domains (e.g., finance, insurance, healthcare).

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits