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