Artificial Intelligence Engineer

Job Description: As an AI Engineer at HomeTeam Network, you'll be at the forefront of developing AI solutions that power our automated sports broadcasting platform. You'll work on cutting-edge computer vision and machine learning systems that automatically track players, detect game events, and generate broadcast-ready content in real-time. IMPORTANT NOTE TO CANDIDATES: We strongly encourage engineers with strong Python programming skills and an interest in video processing to apply, even if you don't have professional experience in streaming or video processing. If you're passionate about sports, love solving complex technical challenges, and have a solid foundation in Python development, we want to hear from you What You'll Do: Implement and optimize computer vision models for sports video analysis Build ML pipelines for player tracking, action recognition, and game state detection Develop efficient data processing for high-throughput video streams Integrate AI systems with streaming infrastructure and NDI-enabled devices Work with the DevOps team on model deployment and performance optimization Create testing frameworks to validate AI model accuracy and reliability Research and implement emerging AI technologies to improve our platform Required Skills & Experience: 1-3 years of software development experience (AI/ML focus preferred) Strong Python programming skills with experience in: >>> At least one deep learning framework (PyTorch or TensorFlow) >>> Computer vision libraries (OpenCV, torchvision) >>> Data processing (NumPy, Pandas) Understanding of ML fundamentals and neural network architectures Experience with Git and collaborative development practices Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) Ability to troubleshoot complex technical issues Excellent communication and teamwork skills Nice-to-Have Qualifications: Experience with video processing or streaming technologies Knowledge of real-time system optimization Contributions to open-source AI projects Understanding of MLOps tools and deployment practices Familiarity with NDI (Network Device Interface) Published research in computer vision or machine learning Join us at Home Team Live and be part of redefining the future of live events. We offer a competitive salary, a supportive team environment, and opportunities for growth and development. Be a part of our success and apply today Salary Range: $70k - $85k CAD Annually depending on experience