Senior ML Engineer (Azure MLOps)

Tri-global Solutions Group; Toronto; Hybrid; CAD 91,000 - 129,000; Part time

Job summary

Tri-global Solutions Group Inc. is seeking a Senior Machine Learning Engineer to deploy and operationalize AI/ML solutions in a hybrid Toronto-based role.

The specialist will build reusable deployment patterns, tooling, monitoring, and automation to move models from development into production across the enterprise. The ideal candidate has advanced hands-on Azure ML and MLOps experience, strong Python/ML skills, and a solid foundation in statistics and data analysis to drive robust production

Qualifications

• Advanced hands-on experience with Azure Machine Learning and MLOps, CI/CD, containers, APIs, automation.
• Strong Python and ML engineering skills from experimentation to production environments (Python, SQL, Databricks).
• Deep understanding of ML algorithms, statistics, model evaluation, drift, retraining and production troubleshooting.

Responsibilities

• Creates and deploys ML models using data to train and evaluate them.
• Analyzes data to uncover relations between input and output for business objectives.
• Develops models to meet business goals, with metrics to track progress.
• Designs ML and DL systems and pipelines for production deployment.
• Runs ML tests and experiments to validate approaches.
• Implements appropriate ML algorithms and deployment patterns.

Skills

Azure ML

MLOps

Python

SQL

Power BI

Jira

Git

Databricks

Tools

Databricks

VSCode

Jira

Git

Job description

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 Work Model)

Engagement Type: Contract

Number of Resources required: 1

Term: 2026-11-23 to 2027-05-23 (130 days) with possible extension

Rate (CAD): Up to $80.00 per hour / Commensurate with related experience and market competitiveness

Hours per day: 7.25

Security 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: https://tri-global.com

PROJECT 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 models


• Focuses on analyzing data to find relations between the input and the desired output


• Understands business objectives and develops models that help achieve them, along with metrics to track their progress


• Designs and develops machine learning and deep learning systems


• Runs machine learning tests and experiments


• Implements appropriate machine learning algorithms

QUALIFICATIONS & EXPERIENCE

• Experience managing available resources such as hardware, data, and personnel so that deadlines are met


• Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability


• Experience 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 world


• Experience verifying data quality, and/or ensuring it via data cleaning


• Experience supervising the data acquisition process if more data is needed


• Experience finding available datasets online that could be used for training


• Experience defining validation strategies


• Experience defining the preprocessing or feature engineering to be done on a given dataset


• Background in statistics and computer programming


• A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience

MANDATORY 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 https://tri-global.com 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.