Artificial Intelligence Engineer

HomeTeam Network; Regina; On-site; CAD 76,000 - 90,000; Full time

Job summary

A sports technology company is seeking an AI Engineer to develop solutions for their broadcasting platform. Candidates should have strong Python skills and experience in computer vision and machine learning. Responsibilities include optimizing video processing and integrating AI systems with cloud infrastructure. This full-time position offers a salary of up to $90k, with the requirement to reside in Saskatchewan or relocate shortly after hiring. If you're passionate about sports and technology, apply today.

Benefits

Supportive team environment

Opportunities for growth and development

Qualifications

• 1-3 years of software development experience with AI/ML focus preferred.
• Strong foundation in Python programming.
• Experience troubleshooting complex production systems.

Responsibilities

• Implement and optimize computer vision models for real-time sports video.
• Build ML inference pipelines using ONNX Runtime and TensorRT.
• Integrate AI systems with AWS infrastructure.

Skills

Python programming

Deep learning inference frameworks

Computer vision libraries

Data processing and numerical computing

Multiprocessing and concurrent programming

Git

Education

Bachelor's degree in Computer Science or related field

Tools

ONNX Runtime

TensorRT

OpenCV

FFmpeg

Job description

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.

Location

Saskatchewan – For business reasons the Candidate must live in the Province of Saskatchewan. If you're willing to relocate to Saskatchewan within 30 days without additional financial assistance let us know. Already being there is a plus!

Job Type

Full‑time

Salary

Up to 90k

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

Join us at HomeTeam Live and be part of redefining the future of live events. We offer a supportive team environment, and opportunities for growth and development. Be a part of our success and apply today!