Company Description

At Maple Leaf Sports & Entertainment Partnership (MLSE), we are committed to creating an inclusive workplace that is representative of our community and where all employees feel they belong and can reach their full potential. We are Canada’s preeminent leader in delivering top quality sport and entertainment experiences and one of North America’s leading providers of exceptional fan experiences. We are the parent company of the National Hockey League’s Toronto Maple Leafs, the National Basketball Association’s Toronto Raptors, Major League Soccer’s Toronto FC, the Canadian Football League’s Toronto Argonauts and development teams with the Toronto Marlies (American Hockey League), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.

MLSE owns and/or operates all the venues our teams play and train in, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. We also provide fans in Toronto with incredible live music and entertainment events, as well as exceptional culinary experiences through our restaurants (e11even and RS) and clubs (Hot Stove Club, ScotiaClub and Platinum Club). Through MLSE Foundation, we have invested more than $45 million into Ontario communities since 2009 and with MLSE LaunchPad, we provide a place where youth facing barriers use sport to recognize and reach their potential.

We achieve all of this through our Common Purpose - to unite and empower our employees to create extraordinary moments for our fans and each other. Come be a part of the team.

Job Description

MLSE is seeking an innovative AI Engineer to transform promising generative AI proof-of-concepts into production-ready solutions under the Gen AI Innovation Program. In this pivotal role, you'll collaborate with product and infrastructure teams to build fully integrated AI systems that deliver immediate value across team operations. You'll develop sophisticated conversational and multimodal AI applications that revolutionize how our teams handle their workflows across the company, including business and team operations, reducing workloads and improving decision-making accuracy.

Position Type: Freelance 12-Month Contract 

• Design and develop AI solutions using AWS services, particularly Bedrock, SageMaker, and other generative AI technologies.
• Implement RAG best practices for large language models (LLMs) for specific sports domain applications.
• Work on AI-powered business intelligence projects, converting data catalogs into easy-to-query assets from natural language.
• Establish workflows for ongoing model training, evaluation, and improvement.
• Work closely with stakeholders across business and team operations to understand requirements and refine solutions.
• Implement robust testing protocols and evaluation metrics for AI applications.
• Document processes and maintain technical documentation.
• Present progress updates and demos during project health checks and monthly reviews.

Qualifications

Note: Before reviewing the qualifications listed below, we want you to know that we understand you may not meet all the qualifications described and have other relevant expertise and experience.  We invite you to please share this with us in the "Message to the Hiring Manager" section of our online application.

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field.
• Demonstrated experience implementing and optimizing Large Language Models (LLMs) in production environments.
• Strong expertise in building Retrieval-Augmented Generation (RAG) systems and semantic search applications using vector databases.
• Advanced Python programming skills and familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Familiarity with Langchain and LLM Orchestration.
• Experience in productionizing AI applications through:
  • CI/CD pipelines and MLOps best practices.
  • Containerization (Docker) and orchestration (Kubernetes).
  • API development and microservices architecture.
• Experience developing workflow automation solutions that integrate AI capabilities.
• Proven ability to transition AI prototypes to scalable, resilient production systems.
• Experience with prompt engineering techniques and LLM evaluation frameworks.

Additional Information

Apply by: July 8 2025

We thank all applicants for their interest, however, only those selected for an interview will be contacted. 

At MLSE, we are committed to building an equitable, diverse, and inclusive organization.

We are an equal opportunity employer and we do not discriminate on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email accommodations@mlse.com. Please note this email is only for accommodation requests. Resumes sent to this email address will not be considered. 

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