{"id":3754704,"url":"https://alion.io/job/procom-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":684537,"name":"Procom","domain":"procomservices.com","url":"https://alion.io/company/procomservices-2","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":58,"max":77,"currency":"CAD","period":"hour","gross":null,"usd_annual":110000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Databricks","optional":true},{"name":"Git","optional":true},{"name":"Jira","optional":true},{"name":"Power Automate","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-11-04T15:01:24Z","employer_posted_date":null,"last_verified_at":"2026-11-04T15:01:24Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Senior Machine Learning Engineer:\nOn behalf of our Public Sector client, Procom is searching for a Senior Machine Learning Engineer for a 6-month role. This position is a hybrid position with 3 days onsite at our client’s Toronto, Ontario office.\n\nSenior Machine Learning Engineer - Job Description:\nThis role involves working on a critical project that focuses on MLOps practices and AI solution deployment. The project includes new development initiatives to enhance machine learning capabilities and streamline AI model deployment processes.\n\nSenior Machine Learning Engineer - Responsibilities:\n• Implement and optimize MLOps practices for efficient model deployment.\n• Develop and maintain CI/CD pipelines for machine learning models.\n• Collaborate with cross-functional teams to integrate AI solutions.\n• Monitor and troubleshoot production models to ensure reliability.\n• Automate workflows and processes for model retraining and performance optimization.\n\nSenior Machine Learning Engineer - Mandatory Skills:\n• Advanced hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry.\n• Strong Python and machine-learning engineering skills.\n• Proficiency in MLOps, CI/CD, containers, APIs, and automation.\n• Experience with model deployment, monitoring, and observability.\n• Deep understanding of ML algorithms and statistics.\n\nSenior Machine Learning Engineer – Nice-to-Have Skills:\n• Familiarity with Power BI and Power Automate.\n• Experience using VSCode, Git, Jira, and Databricks.\n• Knowledge of feature engineering and hyperparameter tuning.\n• Skills in performance optimization and production model troubleshooting.\n\nSenior Machine Learning Engineer – Assignment Length:\nThis is a 6-month contract position.\n\nSenior Machine Learning Engineer - Start Date:\nASAP.\n\nSenior Machine Learning Engineer - Assignment Location:\nToronto, Ontario, Canada. 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