ML Engineer

Who are we? Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. We are looking for an ML Engineer who can design, build, and integrate AI-powered systems by combining machine learning models, LLMs, APIs, and enterprise data into scalable, production-grade solutions. The role requires strong system thinking, the ability to translate business needs into technical architectures, and the capability to integrate model outputs into cohesive decision systems. Success in this role depends on close collaboration with Data Scientists, ML Engineers, and application teams to operationalize intelligent solutions. Engineering Expectations (Core Capabilities) Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data Translate business requirements into scalable system architectures and solution designs Develop backend services and API-driven architectures to operationalize intelligent systems Implement data and model pipelines integrating structured and unstructured data sources Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows Apply agent-based workflows and multi-step orchestration to enable complex system behavior Ensure systems are production-ready-scalable, reliable, secure, and performant Continuously improve system performance through testing, monitoring, and iterative refinement Operating Model & Ways of Working Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes Translate ambiguous problems into structured requirements and actionable system designs Engage stakeholders regularly to refine solutions and drive adoption Collaborate across teams to ensure integration with existing systems and enterprise standards Maintain high-quality documentation and enable knowledge transfer and continuity Take ownership of delivery by managing enhancements, releases, and system evolution Stay current with industry trends and contribute to continuous improvement of team capabilities Qualifications: 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The targeted pay range for this position in the following location is / locations are: Canada - Toronto Office TRO : 88,000 - 132,000 CAD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self