Data Scientist (Python)

Job Title: Data Scientist (Python)

Location: Chennai, Coimbatore, Bangalore, Pune

Experience: 4+ Years

Job Overview

We are looking for a Data Scientist (Python) with strong experience in backend development,

data science workflows, and exposure to modern AI/ML technologies. The ideal candidate should

be proficient in Python, API development, data handling, and have working knowledge of NLP

and LLM models.

Key Responsibilities

• Design and build scalable backend components and APIs using Python and FastAPI
• Work on data wrangling, feature engineering, and model integration workflows
• Develop, test, and deploy machine learning/NLP pipelines
• Implement RESTful APIs to serve ML models and data services
• Use SQL for data extraction, transformation, and integration
• Leverage Docker for packaging and deployment
• Collaborate with DevOps teams on CI/CD workflows
• Integrate solutions using OpenAI, Hugging Face, and other LLM APIs (e.g., GPT, BERT)
• Work cross-functionally with data engineers, ML engineers, and business teams

Required Skills

• Strong experience in Python programming
• Experience with FastAPI or equivalent frameworks
• Solid knowledge of SQL and data modeling
• Good grasp of Object-Oriented Programming (OOP)
• Familiar with Git, Docker, and CI/CD pipelines
• Exposure to data science workflows, model deployment, and MLOps practices
• Experience or familiarity with NLP, OpenAI libraries, and Hugging Face models
• Understanding of Large Language Models (LLMs) like GPT, BERT, etc.

Preferred Qualifications

• Experience working in agile and cross-functional teams
• Familiarity with cloud platforms like GCP

Why Join Us?

• Join KANINIs award-winning Data Engineering Team, recognized as the

"Outstanding Data Engineering Team" at DES 2025

• Work on real-world problems at the intersection of data, AI, and product development
• Be part of a collaborative, innovative, and growth-driven environment
• Access to cutting-edge tools, leadership support, and continuous learning opportunities
• Enjoy flexible work options and competitive compensatio