Senior Data Scientist

Role- Senior Data Scientist

Experience- 8 years+

Work mode- Remote

Role Overview

We are seeking an experienced Senior Data Scientist with deep expertise in Generative AI and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building and deploying solutions using Retrieval-Augmented Generation (RAG), embeddings, and model fine-tuning techniques to solve complex business problems.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions using LLMs
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines

• Develop and manage embedding-based retrieval systems for semantic search and knowledge augmentation
• Fine-tune large language models using domain-specific datasets
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient information retrieval
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Evaluate model performance and continuously improve accuracy, latency, and scalability
• Ensure best practices in data handling, model governance, and deployment
• Stay up to date with advancements in Generative AI and NLP

Required Skills & Qualifications

• Bachelors/Masters/PhD in Computer Science, Data Science, or a related field
• 8+ years of experience in Data Science / Machine Learning
• Strong experience with

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  Python and ML frameworks (PyTorch, TensorFlow)
• Hands-on experience with:
• RAG (Retrieval-Augmented Generation) architectures
• Embeddings (OpenAI, Sentence Transformers, etc.)
• LLM fine-tuning (LoRA, PEFT, RLHF is a plus)
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.)
• Familiarity with vector databases and semantic search
• Strong understanding of NLP concepts and transformer architectures
• Experience deploying models in cloud environments (AWS, GCP, or Azure)
• Solid understanding of APIs, microservices, and MLOps practices