Senior Data Scientist

Job Title: Sr. Data scientist-Gen AI

Location:

Experience: 4+ years

About the Role:

AI/ML Engineer

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&aposs:

  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