Senior Ml Engineer

SENIOR MACHINE LEARNING ENGINEER (Azure MLOps;
Enterprise AI & Data Centre of Excellence)
Requisition #:
R26-3632 (RQ00245)Location:
Hybrid (3 days onsite / 2 days WFH;
Toronto, ON – *See WorkModel)Engagement Type:
ContractNumber of Resources required:
1Term:
2026-11-23 to 2027-05-23 (130 days) with possible extensionRate (CAD):
Up to $80.00 per hour / Commensurate with related experience and market competitivenessHours per day:
7.25Security Screening:
Standard (Criminal Record Check)Tri-global Solutions Group Inc. is seeking one (1) Senior Machine Learning Engineer to join our talented Service Delivery team within Metrolinx.WORK MODEL:
The successful contractor will be working hybrid with 3 days in office at 277 Front Street West, Toronto, Ontario and 2 days remote/work from home per week.Tri-global Solutions Group Inc.Website: OVERVIEW
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production and scale across the enterprise.DESCRIPTION OF SERVICES
Responsibilities:Creates machine learning models and utilizes data to train modelsFocuses on analyzing data to find relations between the input and the desired outputUnderstands business objectives and develops models that help achieve them, along with metrics to track their progressDesigns and develops machine learning and deep learning systemsRuns machine learning tests and experimentsImplements appropriate machine learning algorithmsQUALIFICATIONS & EXPERIENCE
Experience managing available resources such as hardware, data, and personnel so that deadlines are metExperience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probabilityExperience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldExperience verifying data quality, and/or ensuring it via data cleaningExperience supervising the data acquisition process if more data is neededExperience finding available datasets online that could be used for trainingExperience defining validation strategiesExperience defining the preprocessing or feature engineering to be done on a given datasetBackground in statistics and computer programmingA team player with a track record for meeting deadlines, managing competing priorities and client relationship management experienceMANDATORY REQUIREMENTS (Candidates must meet all requirements below)
Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry), Databricks.Deep understanding of ML algorithms and statistics, including classification, regression, clustering, feature engineering, model evaluation, hyperparameter tuning, drift, retraining, performance optimization and production model troubleshooting.NOT FOR YOU?
Check out our other opportunities at or follow us on LinkedIn. We thank all candidates in advance. Only candidates selected for an interview will be contacted.WHY WORK WITH TRI-GLOBAL?
Empower positive change by enabling our clients to revolutionize innovation and technology, elevating them to a higher level of excellence and efficiency.Join an exceptional and committed team that redefines the landscape, forging a distinctive path towards success.Engage in stimulating and captivating projects that push boundaries and keep you constantly motivated.
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