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    • Published research in computer vision or machine learning.
    • You'll work on cutting-edge computer vision and machine learning systems that automatically track…
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    • 5+ years of experience in machine learning engineering or applied data science.
    • Machine learning engineering or applied data science: 5 years (required).
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    • Bring 6–8 years of experience building and deploying machine learning models.
    • This Senior Data Engineer role offers the opportunity to build and lead a modern data engineering practice within a growing fintech organization.
    • Continue learning and injecting advanced technical knowledge into our community.
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    • Experience mentoring software engineers or architects.
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    • AI models are increasingly capable of performing complex…
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    • 161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack.
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    • Experience mentoring software engineers or architects.
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    • Experience mentoring software engineers or architects.
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Senior AI Engineer
Saskatchewan
•
Hybrid work
$80,000–$150,000 a year
Full-time

Job details

Here’s how the job details align with your profile.

Pay

$80,000–$150,000 a year

Job type

Full-time

Benefits

Pulled from the full job description
Stock options
Extended health care
Work from home
Flexible schedule

Full job description

About HTN

HomeTeam Live Technologies Inc. is a Canadian-headquartered live sports streaming company operating across Canada, the United States & beyond. We install and operate camera infrastructure at venues so that fans, families, scouts, and alumni can watch games that would otherwise never be broadcast — independent baseball, arena football, junior and youth hockey, college athletics, and school division sport. Our product suite also includes Highlight IQ, our AI-powered highlight generation platform.

Job Description:

As a Senior 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

Hybrid: For business reasons, we need this role to be based in Saskatchewan! Likely a monthly meeting with the CTO in Saskatoon.

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:

● 3-5 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!

Pay: $80,000.00-$150,000.00 per year

Benefits:

  • Extended health care
  • Flexible schedule
  • Stock options
  • Work from home

Work Location: Hybrid remote in Saskatchewan

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