Data Scientist Gen AI- Offshore

EXL

IndiaremotePosted 1 month ago

Skill Required

Data-ScientistGenerative-AI-EngineerMachine-Learning-EngineerAI-ML-SpecialistNLP-EngineerGenAI-Data-ScientistAI-Data-ScientistRemote-Senior-Data-ScientistData ScientistAIGenerative AIMachine LearningScikit-learnLangChainEngineeringR ProgrammingTensorFlowautomationsecuritybuildingRAGFastAPIPyTorchAzureFlaskPythondesignOpenAPICloudAPIsNLPAWSGCPandFulltime

Key highlights

6+ years of overall work experience.
5+ years of Data Science/ML experience, including 1+ year with LLMs/GenAI.
Strong Python programming skills with libraries such as Transformers, LangChain, scikit-learn, PyTorch, TensorFlow.
Experience with OpenAI (GPT-4) and other large language models.
Ability to build scalable AI workflows and deploy via APIs or web apps (FastAPI, Streamlit, Flask).
Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices.

Role overview

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.

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.

Requirements

Work Experience: 6+ Years
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.

Nice to have

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).