Data Science & Generative AI Engineer

Experience: 1–4 Years
Notice Period: Immediate to 30 Days Preferred

Role Overview

Looking for a Data Science & Generative AI Engineer with strong Python, Machine Learning, and GenAI fundamentals to develop, evaluate, and implement AI-powered solutions.

Key Responsibilities

• Develop and validate machine learning models and data science solutions.
• Build GenAI applications using LLMs, prompt engineering, and RAG pipelines.
• Perform data preprocessing, exploratory data analysis (EDA), and feature engineering.
• Develop Python-based solutions using relevant AI/ML frameworks and libraries.
• Integrate LLMs with APIs, vector databases, and external tools.
• Evaluate model accuracy, response quality, performance, and reliability.
• Support AI agent development, experimentation, debugging, and deployment.

Mandatory Skills

• 1–4 years of experience in Data Science, AI/ML, or Generative AI.
• Strong programming skills in Python.
• Knowledge of Machine Learning, statistics, and data analysis.
• Hands-on experience with Pandas, NumPy, and Scikit-learn.
• Understanding of LLMs, prompt engineering, and Generative AI concepts.
• Knowledge of data preprocessing, model evaluation, and API integration.

Good to Have

• Hands-on experience with RAG, LangChain, or LlamaIndex.
• Exposure to Agentic AI, AI agents, and tool calling.
• Familiarity with vector databases and embedding models.
• Experience with Azure OpenAI, OpenAI APIs, or Hugging Face.
• Basic knowledge of FastAPI, Docker, Git, and cloud platforms.