Senior Data Scientist - GenAI

Overview

AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation. You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems.

Key Responsibilities

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.
• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.
• Develop and optimize ML models, leveraging classical and deep learning techniques.
• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.
• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.
• Develop data pipelines for training, validation, and inference.
• Work on scalable AI solutions, ensuring performance and cost efficiency in deployment.
• Collaborate with cross-functional teams to integrate AI models into production applications.
  
  

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
• Hands-on experience with LLMs, GenAI, and RAG architectures.
• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.
• Experience with LangChain or LlamaIndex for LLM applications is a plus.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
  
  

• Health and Wellness: Healthcare policy covering your family and parents.
• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore, Hyderabad)
• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.
• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.
• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.
  
  

Website and LinkedIn.