Educational Requirements

Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering

Service Line

Engineering Services

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

- Positive 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 NumPy, Pandas, Matplotlib / Seaborn, 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

📌 Python GenAI Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru