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!

Job Description:

As an AI Engineer at HomeTeam Network, you'll be at the forefront of developing solutions that power our AI-complete 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.

Job Type: Full-time

What You'll Do:

• Implement and optimize computer vision models for real-time player tracking, action recognition, and game state detection in sports video
• Build ML inference pipelines using ONNX Runtime and TensorRT for GPU-accelerated model deployment
• Develop multiprocess video processing pipelines for high-throughput RTMP/RTSP/SRT streams
• Integrate AI systems with AWS infrastructure (ECS, Lambda, Step Functions, EventBridge) and cloud deployment workflows
• Optimize real-time video processing performance using FFmpeg, OpenCV, and CUDA
• Deploy and monitor AI models in cloud‑native production using cloud platforms and Weights & Biases for end‑to‑end observability
• Create testing frameworks to validate model accuracy and pipeline reliability
• Collaborate with DevOps on infrastructure-as-code using Terraform for AWS and GCP deployments
• 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:
• Deep learning inference frameworks (ONNX Runtime, TensorRT)
• Computer vision libraries (OpenCV, torchvision)
• Data processing and numerical computing (NumPy, Pandas)
• Multiprocessing and concurrent programming
• 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 in production systems
• Excellent communication and teamwork skills

Nice-to-Have Qualifications:

• Experience with video streaming protocols (RTMP, RTSP, SRT) and FFmpeg
• Knowledge of real-time system optimization and low-latency processing
• Experience with cloud infrastructure (AWS ECS, Lambda, Step Functions, or GCP equivalents)
• Understanding of MLOps practices and model deployment pipelines
• Familiarity with infrastructure-as-code tools (Terraform)
• Experience with experiment tracking tools (Weights & Biases, MLflow)
• Published research in computer vision or machine learning

Join us at HomeTeam 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!

Being able to attend occasional activities in person in Regina or Saskatoon is required.