Senior Data Scientist

Job Title : Sr. Data scientist-Gen AI

Location : Bangalore

Experience : 4+ years

About the Role :

We are looking for an experienced

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.

Required Skills & Qualifications :

4+ 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.

Perks & Benefits :

Health and Wellness : Healthcare policy covering your family and parents.

Food : Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

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.

To find out more about us, head over to our

Website

and LinkedIn.