Senior Machine Learning Engineer
Equinix
2 days ago
Full-time
On-site
Toronto, Canada
AI and Machine Learning
- 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
- 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, TensorFlow/PyTorch
- 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