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Machine Learning Engineer - NHL

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Tampa Bay Lightning
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

Job Summary

As an AI/ML Expert within a Dev Ops team your main objective is to lead the development, deployment, and optimization of machine learning models and AI solutions. You will be responsible for leveraging advanced algorithms and data science techniques to drive business insights and improve product performance.

Working closely with our Director, Dev Ops & Data Engineering and other team members, you will share your expertise to help the team achieve outstanding results and maintain a competitive edge. With this position, you will have the opportunity to make a positive impact and drive innovation within the organization and the hockey analytics team.

Essential Duties & Responsibilities
  • Design, develop, and deploy AI/ML models and algorithms.

  • Perform data processing, feature engineering, and model training.

  • Continuously monitor and improve performance of deployed models.

  • Provide mentorship and leadership to other data scientists and Dev Ops members.

Qualifications
  • Master’s or Ph.D. in Computer Science, Data Science, or related fields.

  • Experience with deep learning, NLP, and reinforcement learning.

  • Proficiency in Python, including software design, development, and debugging.

  • Strong knowledge of machine learning frameworks (Tensor Flow, PyTorch, Scikit-learn).

  • Experience with big data tools (Hadoop, Spark, etc.) and cloud platforms (AWS, Azure, Google Cloud).

  • Excellent problem-solving skills and the ability to work in a fast-paced environment.

  • In depth knowledge of cloud platforms (e.g., AWS, Azure) and experience with distributed systems and architecture.

  • 5+ years of experience

Working Conditions
  • Ability to work efficiently and effectively in office and arena environment that can be exciting, loud and distracting

  • This is an onsite role; flexibility to work a minority of time remotely.

  • Ability to work extended hours including late nights, holidays, and weekends as needed

  • Ability to work prolonged periods sitting at a desk and working on a computer.

  • Ability to lift/carry/move up to 10lbs

  • Ability to work in cold/hot indoor and outdoor temperatures

  • Ability to work in areas that can become crowded with equipment and/or people

  • Ability to move comfortable throughout the arena with minimal accommodations

  • Ability to work comfortable around special effects including, but not limited to: haze, strobe lights, lasers, etc.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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