Python AI Trainee

Assist in developing and testing Python-based AI/ML scripts and applications. Work with datasets; cleaning, preprocessing, and analyzing them. Implement basic machine learning models using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. 1. Learning New Technologies and Tools 2. Learning and Understanding the Codebase 3. Assisting in Software Design and Development 4. Writing and Testing Code 5. Participating in Team Meetings 6. Fixing Bugs and Issues 7. Documenting Development Processes Collaborate with cross-functional teams to design, develop, and test software applications. - Assist in debugging and troubleshooting software issues in existing applications. - Participate in code reviews and contribute to software architecture discussions. - Conduct research and analysis to support ongoing projects and initiatives. - Prepare technical documentation and project reports as required. - Engage in learning opportunities through workshops, seminars, and mentorship sessions. Monitor the performance and security of the networking infrastructure • Facilitate in network infrastructure upgrades, patching and other maintenance activities