Data Scientist (Python)

Job Description

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