Source description
About the role
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 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
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