remote
AI Engineer - National Hockey League
AI Engineer
AI Engineer building next‑generation AI‑powered capabilities for a global sports organization, leveraging Python, machine learning, deep learning, and AWS to deliver data‑driven insights and innovative player performance tools.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to enhance player performance analytics and fan engagement.
- Collaborate with data scientists and engineers to ingest, clean, and transform large sports datasets.
- Implement scalable solutions on AWS, ensuring high availability and performance.
- Integrate models into production pipelines and monitor model health and drift.
- Communicate findings and model insights to cross‑functional teams.
Requirements
- Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Hands‑on experience building and deploying deep learning models in a cloud environment.
- Solid understanding of data engineering concepts and experience with SQL/NoSQL databases.
- Familiarity with AWS services (SageMaker, EC2, S3, Lambda) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
Skills
pythonmachine learningawsdeep learning