Machine Learning Engineer

Senior Machine Learning Engineer
Location: Hybrid, 3 days per week on-site 
Language: Strong written and verbal English communication skills
Duration: 6-month contract with the possibility of extension

About the Opportunity
Are you a hands-on Machine Learning Engineer who enjoys turning innovative AI solutions into reliable, production-ready systems? This opportunity offers the chance to help a large enterprise organization scale its AI capabilities by building robust deployment frameworks, automation, and monitoring solutions.

Working alongside technical teams and business stakeholders, you'll play a key role in bridging the gap between machine learning experimentation and production. Your expertise will help establish scalable MLOps practices that improve reliability, performance, and the delivery of AI solutions across the organization.

What's In It for You
• Work on high-impact AI and machine learning initiatives with enterprise-wide reach.
• Collaborate with experienced technical professionals in an innovative, team-oriented environment.
• Gain exposure to modern Azure AI technologies and advanced MLOps practices.
• Enjoy a hybrid work arrangement with the possibility of a contract extension.

Your Responsibilities
• You'll design, develop, deploy, and operationalize machine learning and deep learning models using Azure Machine Learning and Azure AI Foundry.
• You'll build reusable MLOps pipelines, CI/CD workflows, containerized solutions, APIs, and automation to streamline production deployments.
• You'll establish monitoring and observability practices to track model performance, identify drift, troubleshoot issues, and support retraining.
• You'll apply classification, regression, clustering, feature engineering, and hyperparameter tuning techniques to optimize model performance.
• You'll collaborate with stakeholders to translate business objectives into scalable AI solutions, measurable outcomes, and effective validation strategies.
• You'll support data preparation, quality assurance, experimentation, and resource planning while managing competing priorities and deadlines.

Skills and Qualifications
• Extensive hands-on experience in machine learning engineering, including successfully deploying and supporting models in production environments.
• Advanced expertise in Azure Machine Learning (ML Studio), Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, and model observability.
• Strong programming and technical skills with Python, SQL, Databricks, Power BI, Power Automate, VS Code, Git, and Jira.
• Deep understanding of machine learning algorithms, statistics, classification, regression, clustering, feature engineering, model evaluation, and hyperparameter optimization.
• Demonstrated experience with model drift, retraining, performance optimization, production troubleshooting, data validation, and preprocessing.
• Strong analytical, communication, stakeholder management, and collaboration skills, with the ability to deliver results across competing priorities.

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.