Machine Learning Engineer

Tekshapers; Toronto; On-site; CAD 130,000 - 180,000; Full time

Job summary

Tekshapers is seeking an experienced Senior Machine Learning Engineer in Toronto to lead end-to-end ML initiatives. The role requires hands-on work across data prep, feature engineering, model development, deployment, and monitoring, with a focus on scalable, production-grade systems.

You will collaborate closely with data scientists and software engineers, driving GenAI projects, GenAIops practices, and advanced ML lifecycle management while integrating solutions into enterprise workflows.

Qualifications

• Experience deploying and operationalizing ML solutions in cloud environments.
• Strong collaboration with data scientists and engineers.
• Proven track record delivering end-to-end ML from data prep to production.

Responsibilities

• Build, deploy, and maintain end-to-end ML solutions in cloud environments.
• Prepare data, engineer features, develop models, and implement production deployments.
• Monitor models and provide ongoing production support and lifecycle management.

Skills

Python

SQL

GenAI

MLOps

CI/CD

Model deployment

Monitoring

Lifecycle management

Team collaboration

Tools

Azure ML

Databricks

MLflow

Job description

We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives.

• The ideal candidate will have strong hands-on experience building, deploying, and operationalizing machine learning solutions in cloud environments, with expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle management.
• This is a highly technical, hands-on role focused on delivering end-to-end ML solutions, including data preparation, feature engineering, model development, deployment, monitoring, and ongoing production support.
• The role requires proven experience taking models from prototype to production, building scalable ML pipelines and services, and integrating machine learning solutions into enterprise applications and operational workflows.
• Experience with cloud-native ML platforms, automated deployment processes, and production support is essential.
• Experience with Generative AI, LLM applications, agentic AI frameworks, and GenAIOps practices - including evaluation, monitoring, deployment, and lifecycle management of GenAI solutions - would be considered an asset.
• In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists and engineers, and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.