Key Responsibilities
- Design, develop, and maintain robust Python applications for AI training pipelines across industries like finance, healthcare, and engineering.
- Collaborate with cross-functional teams to implement and deploy new features for AI model training systems.
- Participate in code reviews to ensure adherence to best practices, high code quality, and maintainability.
- Troubleshoot, debug, and optimize existing Python code for performance, scalability, and reliability in real-world AI applications.
- Create and maintain clear documentation for developed solutions, system processes, and team workflows.
- Contribute to system architecture discussions and propose innovative technical solutions for AI training infrastructure.
Requirements
- Proficiency in Python with experience in software development, including debugging and optimization of applications.
- Familiarity with version control systems like Git and collaborative development workflows.
- Understanding of software development best practices, including testing, code reviews, and documentation standards.
- Ability to analyze technical challenges and implement scalable solutions in Python-based systems.
- Strong problem-solving skills and attention to detail when writing, reviewing, or maintaining code.