AI/ML Engineer

Scholtastic; Vaughan; Hybrid; CAD 120,000 - 130,000; Full time

Benefits offered by this job

Benefits package

Employee discounts

Hybrid environment

Vendor Pro Deals

Product training

Job summary

Sporting Life Group Limited is seeking an AI/ML Engineer to lead the architecture, development, and deployment of enterprise-grade Generative AI and ML solutions. You will design intelligent agents, Copilot extensions, and secure data-grounded LLMs integrated with Microsoft Copilot Studio, Azure OpenAI Service, and Azure AI Search.

Join a sport-loving, team-first culture with a hybrid environment. You will mentor teams, collaborate across domains, and implement scalable AI pipelines while

Qualifications

• Experience implementing Azure OpenAI Service, Copilot Studio and related Azure AI services in enterprise environments.
• Proficiency in Python or C# (.NET Core) with production-ready service delivery skills.
• Strong grounding in ML, NLP, embeddings, and model evaluation for reliable AI outputs.
• Knowledge of orchestrated AI workflows using Semantic Kernel, LangChain or similar.
• Familiarity with vector databases (Cosmos DB, Pinecone) and semantic search.
• Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) and secure data access patterns.
• Ability to translate business needs into technical designs and communicate trade-offs clearly.

Responsibilities

• Lead architecture, development, and deployment of Generative AI and ML solutions for enterprise use.
• Design intelligent agents using Copilot Studio to automate enterprise workflows.
• Develop Copilot extensions and Graph Connectors to ground LLMs in enterprise data.
• Build Retrieval-Augmented Generation pipelines with Azure AI Search and orchestration frameworks.
• Train, evaluate, and optimize ML/LLM models considering accuracy, latency, and cost.
• Create secure APIs, services, and Power Platform connectors for Copilot experiences.
• Configure and optimize AI infrastructure within Azure OpenAI and related services.
• Implement CI/CD, monitoring, testing, and versioning for AI models and prompts.
• Apply guardrails and responsible AI practices for compliant outputs.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

Python

C# (.NET Core)

Machine Learning

NLP

MLOps

Cross-functional collaboration

Mentoring

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML/Data Science or Engineering

Tools

Azure OpenAI Service

Microsoft Copilot Studio

Azure AI Studio

Azure AI Search

Microsoft Semantic Kernel

LangChain

LlamaIndex

Cosmos DB

Pinecone

Azure DevOps

GitHub Actions

Microsoft Graph API

Job description

Sporting Life Group is a proudly Canadian family of retail banners, Sporting Life, Golf Town, and Team Town Sports, united by a shared passion for sport and active living.

From individual pursuits to team sports, we offer the best equipment, expert services, and experiences to help Canadians play, move, and live well.

Why Work Here?

• Access to our benefits package, with the choice of different levels of health, dental, and vision coverage to suit you.
• Employee discounts at Golf Town, Sporting Life, and Team Town Sports that are shareable with friends and family.
• Team-first culture that celebrates an active, sports lifestyle.
• Fun, fast-paced hybrid environment where your passion for sport and style belongs.
• Vendor Pro Deals and expert product training to fuel your knowledge and performance.
• A salary range of $120,000-$130,000 (dependent on experience), bonus, and opportunities to grow your career in the sports lifestyle.

What You’ll Do;

The AI/ML Engineer role will lead the architecture, development, and deployment of enterprise-grade Generative AI and machine learning solutions. This role will be responsible for designing intelligent assistants, custom orchestrators, and AI agents deeply integrated with Microsoft Copilot Studio, Azure OpenAI Service, Azure AI Search, and the broader Microsoft 365 platform. The ideal candidate will bridge state-of-the-art Large Language Models (LLMs), traditional machine learning practices, and production-ready enterprise applications that are secure, scalable, and aligned to business outcomes.

The AI/ML Engineer will work closely with business stakeholders, data teams, application teams, infrastructure teams, and security partners to identify high-value AI use cases, design robust solution architectures, and move prototypes into reliable production environments. This role requires strong hands‑on engineering capability, practical experience with LLMOps/MLOps, and the ability to apply responsible AI principles across the full solution lifecycle.

• Lead the design of scalable AI, machine learning, and Generative AI solutions that address business problems and integrate effectively with enterprise applications and data platforms.
• Design, build, and deploy custom intelligent agents using Microsoft Copilot Studio to automate complex enterprise workflows and improve employee productivity.
• Develop custom Copilot extensions, plugins, and Microsoft Graph Connectors to securely ground LLMs in internal enterprise data and business processes.
• Architect and implement robust Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search and orchestration frameworks such as Microsoft Semantic Kernel, LangChain, or similar tools.
• Design, train, evaluate, fine‑tune, and optimize machine learning and LLM‑based solutions for accuracy, reliability, latency, throughput, and cost efficiency.
• Build and manage secure APIs, services, and Power Platform connectors to link Copilot experiences with legacy systems, third‑party databases, and enterprise applications.
• Provision, configure, and optimize generative AI infrastructure within Azure OpenAI Service and related Azure services, including token consumption, throughput, latency, observability, and operational performance.
• Implement continuous integration, deployment, monitoring, testing, and versioning practices for AI models, prompts, embeddings, orchestration flows, and production services.
• Implement strict guardrails, prompt engineering standards, content filtering, responsible AI controls, and Azure AI Content Safety practices to ensure compliant and trustworthy AI outputs.
• Partner with cross‑functional teams to translate business requirements into technical designs, document architecture and decisions, and communicate solution trade‑offs to technical and non‑technical stakeholders.

What You’ll Bring;

• Proven experience implementing solutions with Azure OpenAI Service, Microsoft Copilot Studio, Azure AI Studio, Azure AI Search, and related Azure AI services.
• Advanced proficiency in Python or C# (.NET Core), with strong software engineering practices for building maintainable, secure, and production‑ready services.
• Strong understanding of machine learning, deep learning, NLP, embeddings, semantic search, model evaluation, feature engineering, and model performance optimization.
• Deep knowledge of Microsoft Semantic Kernel, LangChain, LlamaIndex, or similar frameworks used to build orchestrated AI workflows and agentic applications.
• Experience with vector embeddings, semantic search optimization, and databases such as Azure Cosmos DB, Pinecone, or other vector‑capable data platforms.
• Familiarity with Azure DevOps or GitHub Actions for managing continuous integration and deployment pipelines for AI models, prompts, APIs, and related services.
• Understanding of Microsoft 365 architecture, Microsoft Graph API, Azure Active Directory / Microsoft Entra ID, identity, permissions, and secure data access patterns.
• Ability to lead technical design discussions, mentor team members, document complex solutions, and collaborate effectively with business, security, infrastructure, and application stakeholders.
• Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related discipline.
• Senior‑level experience designing, developing, and deploying AI/ML, Generative AI, or data‑driven enterprise solutions in production environments.
• Hands‑on experience moving AI prototypes into production, including security review, operational monitoring, performance tuning, and stakeholder adoption.
• Experience working in enterprise environments with cross‑functional teams, secure data access requirements, governance standards, and integration with existing business systems.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Certified: Power Platform Developer Associate (PL-400)

AI is used as part of our application review process to assist in screening and assessment. All applications are also reviewed by our recruitment team.

This posting is for an open new role in our organization.

Sporting Life Group Limited is an equal opportunity employer and committed to providing accommodations for persons with disabilities. In accordance with the Accessibility for Ontarians with Disabilities Act, please advise the Sporting Life Group Human Resources team of any accommodations required to ensure fair and equitable access through the recruitment and selection process.