Python GenAI Professional

Job description

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 - 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 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