Technical Product Owner, AI & Machine Learning Solutions

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead interdisciplinary teams of machine learning scientists, engineers, data scientists, and software engineers to produce high-quality AI solutions.

• Collaborate with stakeholders to identify, refine, and, when necessary, decline machine learning product opportunities.

• Work in conjunction with risk management, technology, model risk management, and other support functions.

• Convert business goals into technically viable AI/ML solutions and communicate architecture, implementation, scalability, risk, and model-performance trade-offs.

• Develop the vision, strategy, and roadmap for AI technical products and capabilities.

• Maintain an in-depth understanding of solutions, architectures, and technical implementations to critically evaluate design choices and prioritize development efforts.

• Support colleagues’ professional and technical growth through mentorship and constructive feedback.

• Anticipate resource requirements throughout the model lifecycle and adjust teams accordingly.

• Establish engineering standards, best practices, and quality controls for AI/ML.

• Provide constructive critiques on model design, MLOps, data architecture, and production-readiness assessments.

• Direct the definition of cloud-native AI/ML solution architecture and operational strategies.

• Collaborate with engineering and architecture teams to ensure scalable deployment, monitoring, and lifecycle management of production AI systems.

• Ensure that AI solutions comply with standards for security, governance, model risk management, responsible AI, compliance, operational resilience, and auditability.

• Define, quantify, and communicate the business value of products by linking model performance to business outcomes and enterprise AI value objectives.

⛳️ Requirements

• Over 5 years of experience in delivering complex AI, machine learning, data science, advanced analytics, or software products in large-scale enterprise settings.

• More than 3 years of experience leading cross-functional technical delivery teams that include machine learning engineers, data scientists, software engineers, and MLOps practitioners.

• Profound understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation methods, data engineering, MLOps, and software development practices.

• Capability to assess technical designs and question architectural decisions while effectively collaborating with engineering and research teams.

• Strong technical skills in Python and SQL.

• Knowledge of version control, CI/CD, automated testing, observability, and deployment automation.

• Familiarity with model risk management and AI governance in regulated sectors.

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field, or comparable practical experience in delivering complex AI/ML solutions.

🏝️ Benefits

• Base salary and variable compensation.

• Health and wellness benefits.

• Savings and retirement plans.

• Paid time off.

• Banking benefits and discounts.

• Opportunities for career development.

• Reward and recognition programs.

• Regular development discussions.

• Training opportunities.

• Access to an online learning platform.

• Mentorship programs.

• Training and onboarding sessions.

• Interview accommodations, including accessible meeting spaces and captioning for virtual interviews.