Sr. Machine Learning Engineer (MLE)

About Us

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.

Job Summary

The Senior Machine Learning Engineer designs and implements advanced ML solutions leveraging Generative AI and Predictive AI to solve complex business challenges. This role partners with cross-functional teams to build scalable models, extract insights from design documents, and deliver automation that drives measurable impact. The Senior MLE combines strong technical expertise with practical business understanding to accelerate AI adoption across the enterprise.

Responsibilities

AI & ML Development

• Build and deploy ML models using GenAI and Predictive AI for forecasting, optimization, and intelligent automation
• Apply NLP and document analysis techniques to extract actionable insights from design documents

Solution Architecture

• Design robust ML pipelines and architectures for enterprise-scale applications
• Ensure solutions align with organizational goals and technology standards

Data Engineering & Modeling

• Develop efficient data models and wrangling strategies for large, complex datasets
• Drive data discovery initiatives and communicate patterns and hypotheses to stakeholders

Software Engineering

• Implement ML frameworks and coding best practices using Python, Tensor Flow/Py Torch
• Integrate solutions with Big Data technologies (Spark, Kafka, Hadoop) for real-time and batch processing

Visualization & Insights

• Create dashboards and visualizations to present ML-driven insights in a business-friendly format
• Translate model outputs into actionable recommendations for decision-makers

Testing & Quality

• Develop repeatable test strategies for ML models ensuring accuracy and reliability
• Certify releases for performance and customer experience

Collaboration & Stakeholder Engagement

• Work closely with product managers, data engineers, and business teams to identify high-value AI use cases
• Communicate technical concepts clearly to non-technical stakeholders

Qualifications

• 7+ years of experience in Machine Learning and Data Science
• Proven experience building GenAI and Predictive AI solutions
• Strong skills in extracting insights from design documents and applying them to ML workflows
• Expertise in data modeling, predictive analytics, and visualization
• Bachelor’s or Master’s in Computer Science, Data Science, or Machine Learning

This posting is a new position within our organization.

Compensation

The targeted pay range for this position in the following location is / locations are: Canada - Toronto Office TRO : 112, 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.

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 to work.

• Employee Assistance Program: An Employee Assistance program is available to all employees.
• Canada Core Benefits: Insurance: You may enroll in healthcare coverage that is…