Technology->AI-Data science->PYTHON
- Valuable 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 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. 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

📌 Python GenAI (Bengaluru East)
🏢 Infosys
📍 Bengaluru East