Data Scientist

Key Responsibilities:

• Design, develop, and deploy AI/ML models, particularly using

  LLAMA

  and similar LLM frameworks.
• Integrate

  vector databases

  and

  PostgreSQL

  for intelligent data retrieval and storage.
• Build and optimize

  Python-based pipelines

  , APIs, and backend services for AI applications.
• Leverage

  Databricks

  for scalable data processing, model training, and deployment.
• Collaborate with cross-functional teams to deliver

  production-ready AI solutions

  rapidly.
• Contribute to POCs and prototypes to validate ideas and iterate quickly.

Must-Have Skills:

• 7+ years of experience in Data Science / AI Engineering roles.
• Proficiency with

  Databricks

  ,

  Python

  , and

  PostgreSQL

  .
• Hands-on experience working with

  LLMs

  (especially LLAMA) and

  vector DBs

  like Pinecone, FAISS, or similar.
• Strong understanding of

  AI/ML lifecycle

  , from model development to deployment.
• Experience in

  startup or agile environments

  , with proven rapid delivery capabilities.

Good to Have:

• Familiarity with cloud platforms (AWS/Azure/GCP).
• Knowledge of LangChain or similar LLM orchestration frameworks.
• Exposure to MLOps best practices and deployment tools.