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

Preferred Skills

• PYTHON

Educational Requirements

Master Of Engineering,Bachelor of Engineering,Bachelor Of Technology (Integrated)