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