**Key Responsibilities:** **Module Implementation (40%)** -Implement Python modules based on provided architectural blueprints and specifications -Develop PyTorch-based AI model components and inference pipelines -Create clean, maintainable code following established patterns and interfaces -Integrate multiple modules to form complete AI systems **Testing & Quality Assurance (35%)** -Conduct cross-platform compatibility testing (Windows/Linux/macOS) -Test PyTorch, CUDA drivers, and Python package version compatibility -Write and execute unit tests for AI models and data processing pipelines -Perform regression testing and model performance validation -Document test cases and results **Technical Documentation (25%)** -Create comprehensive technical documentation for implemented modules -Write API documentation and usage guides -Maintain deployment and setup instructions -Document testing procedures and compatibility matrices **Required Skills:** -Bachelor's degree in Computer Science, Engineering, or related field -3 years experience with Python programming -Basic understanding of PyTorch and machine learning concepts -Experience with unit testing frameworks (pytest, unittest) -Familiarity with version control (Git) and package management (pip/conda) -Understanding of software development lifecycle **Preferred Skills:** -Experience with Docker containerization -Knowledge of CUDA/GPU computing -Familiarity with CI/CD pipelines -Experience with technical writing \#LI-KC1 **Requisition ID** : 30497