Description

Powered by Passion. United by Purpose. Build for Impact. 

 

At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities – united as one. 

 

We’re more than a workplace. We are a team of passionate people, boldly building the future of sport and entertainment, together. We believe in the power of play, the strength of collaboration, and the energy that comes from showing up with purpose. 

 

From the ice to the pitch, the hardwood to the digital arena, we’re proud to be the driving force behind the Toronto Maple Leafs (NHL), the Toronto Raptors (NBA), Toronto FC (MLS), Toronto Argonauts (CFL) and development teams with the Toronto Marlies (AHL), 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.  

 

We bring these teams – and world-class entertainment – to life at our iconic venues, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. Off the field, we serve up elevated dining at e11even, Real Sports, and our signature club spaces like Hot Stove Club, ScotiaClub, and Platinum Club. 

 

Through MLSE Foundation and MLSE LaunchPad, we use the power of sport to help youth facing barriers reach their full potential. Since 2009, we’ve invested more than $45 million into Ontario communities — and we’re just getting started.  

 

This is what it means to be One MLSE: a culture where everyone plays a role, everyone belongs, and everyone contributes to something bigger than themselves. 

 

So, if you’re ready to play with purpose, grow with passion, and win as one, we’d love to have you on our team. 

** We know that great candidates come from a variety of backgrounds and experiences. Even if you do not meet every qualification listed, we encourage you to apply. Your unique perspective, transferable skills, and lived experience may be exactly what we’re looking for. **

Job Description

Freelance 6 Month Contract with possibility of extension.

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.

  • 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

  • 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.

Job Posting Compensation Range/Rate:

Freelance Rate

We’re glad you’re here. Once you apply, we’ll follow up by email, and you can track everything in your Candidate Portal. Want instant updates? Opt-in for SMS notifications to stay in the loop. 

 

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, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. 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. This email is only for accommodation requests. Resumes sent to this email address will not be considered.