Python GenAI

Responsibilities :

Develop, test, and maintain Python-based applications and scripts.

Support AI/ML model development, training, testing, and deployment activities.

Work on data preprocessing, cleaning, validation, and transformation for AI use cases.

Assist in integrating machine learning models with web applications or backend services.

Participate in debugging, troubleshooting, and performance improvement of applications.

Write clean, reusable, and efficient code following coding standards.

Document technical solutions, workflows, and learnings.

Stay updated with emerging trends in AI, Generative AI, Python frameworks, and automation.

Contribute to proof of concepts (POCs), internal tools, and innovation initiatives.

Additional Responsibilities:

Exposure to Deep Learning basics

Familiarity with TensorFlow / PyTorch

Understanding of LLMs / Generative AI / Prompt Engineering

Awareness of Flask / FastAPI

Understanding of model deployment concepts

Technical and Professional Requirements:

Technology- AI-Data science- PYTHON

Good knowledge of Python programming

Understanding of OOPs concepts, data structures, and algorithms

Basic understanding of Machine Learning / AI concepts

Working Knowledge of Agentic AI, usage of Langchain, langgraph, MCP

Familiarity with libraries such as: o NumPy o Pandas o Matplotlib / Seaborn o Scikit-learn

Basic knowledge of SQL and databases

Understanding of REST APIs and JSON

Exposure to Git / GitHub

Knowledge of VS Code / PyCharm