AI/Machine Learning Engineer
About The Position
Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement. 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.
Requirements
- 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
Responsibilities
- 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
- 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
Benefits
- Employee Assistance Program
- Health insurance
- Life insurance
- Disability insurance
- Voluntary plans
- Retirement plan
- Paid Time Off (PTO)
- Paid Holidays
- Healthcare coverage
- Defined Contribution Pension Plan (DCPP)
- Group Retirement Savings Plan (RRSP)
- Tax-Free Savings Plan (TSFA)
- Vacation
- Personal time
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What This Job Offers
Job Type
Full-time
Career Level
Senior
