Data Science & Generative AI Engineer

• *Job Description: Data Science \& Generative AI Engineer**

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• *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.