EXL

Data Scientist Gen AI- Offshore

EXL  •  Gurugram, IN (Onsite)  •  1 month ago
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AI Success™

Job Description

Job Title: Data Scientist - GenAI

Location: India

Work Experience: 6+ Years

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.
  • Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB).
  • 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).

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.
  • Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB).
  • 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.

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).
EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
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