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Added 17 hours ago
MQ
Bilingual QA Analyst
Miipe Quality Solutions
Markham, ON
- $60,000 to $63,000 CAD / year
- Full-time
Added 17 hours ago
T
Senior Machine Learning Engineer
TEEMA
Toronto, ON
- Contract
…into reliable production environments. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry),…
Added 17 hours ago
ZS
DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
a. Expertise in Azure SQL Database, Azure Cosmos DB, and other database services.
Added 17 hours ago
E
Information Technology Audit Manager
emergiTEL
Toronto, ON
- Full-time
Familiarity with SQL, Oracle, Unix, and Windows environments.
Added 17 hours ago
HI
Payments BSA
HRbrain Inc.
Toronto, ON
- Full-time
Familiarity with SQL, reporting, or data analysis for payments investigations.
Added 17 hours ago
C
Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
Utilize strong technical skills in Oracle PL/SQL, MS SQL Server, Linux, and data analytics/reporting tools to support solution delivery and issue resolution.
Added 17 hours ago
CT
Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
Advanced Python skills and strong experience with SQL, PySpark, and large-scale datasets.
Added 17 hours ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Advanced Python, SQL, PySpark and Spark skills, with experience building maintainable, tested and production-grade software rather than analytical notebooks alone.
Added 17 hours ago
AC
Full-time Institutional Research Advanced Data Analyst
Algonquin College
Ottawa, ON
- Full-time
Experience using analytical programming and data tools such as Python, R, SQL, Power BI or comparable technologies is required;
Added 17 hours ago
E
Business Analyst (Distribution)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time
SQL knowledge & experience in a Microservice architecture environment is an asset
Added 17 hours ago
GM
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft Montreal
Montreal, QC
- Full-time
Added 18 hours ago
Document Governance Specialist (Hybrid)
First West
Langley (District), BC · Langley, BC
Document Testing: Participates in planning test efforts, completes test plans, runs e-sign and SQL scripts, leads QA cycle and ensures scripts are written and test results are recorded…
Added 18 hours ago
Actuarial Expert - Alberta Auto Pricing
Wawanesa Insurance
Calgary, AB · AB · Lethbridge, AB · Lloydminster, AB · Vancouver, BC · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Ottawa, ON · Thunder Bay, ON · Toronto, ON · Montreal, QC · North York - Toronto, ON (Hybr, ON · Edmonton, AB (Hybrid), AB
Fully proficient with Excel, SQL, R, Python, or other specialized programs.
Added 18 hours ago
FS
Senior Risk Analyst
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
- Full-time
High level skills in using data analytics and visualization technologies and tools (e.g. Python, MS Excel, MS SQL, MS Access, PowerBI) to manipulate large data sets to analyze, test,…
Added 18 hours ago
R
Technical Manager, Quality Process Management - APQR - ** 12 Month Contract Position**
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
…visualization tools (e.g., Tableau, Power BI, Spotfire, or SQL) to automate reporting and interpret complex manufacturing/quality…
Added 18 hours ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
· Develop and optimize SQL queries, stored procedures, and schema changes.
Added 18 hours ago
M
RQ11674 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Added 18 hours ago
LA
Senior Analytics Engineer
Level Access
Canada
- Full-time
…modeling conventions and mentor peers. Use AI-assisted tools for SQL, tests, and documentation while holding generated work to production…
Added 18 hours ago
C
Business Data Analyst (BFSI)
Capgemini
Mississauga, ON
- Full-time
Hands-on experience working with SQL, Pyspark and Snowflake in a data delivery or analytics environment.
Added 18 hours ago
RI
Oracle HCM Technical Developer (Integrations & VBS Customizations)
Raas Infotek
Mississauga, ON
- Contract
Job Title: Oracle HCM Technical Developer (Integrations & VBS Customizations)
Added 18 hours ago
ZS
Sr. BizTalk Developer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
We are seeking an experienced Senior BizTalk Developer to design, develop, maintain, and support enterprise integration solutions using Microsoft BizTalk Server. The role requires strong…
Added 18 hours ago
Senior Software Integration Engineer - Assistant Vice President
iCapital
Toronto, ON
…using C#, .NET, REST APIs, XML, JSON, Entity Framework, LINQ, SQL and related technologies, including database interactions, XML and JSON transformations, and deployment…
Added 18 hours ago
N
Senior Data Scientist (Applied ML) - Canada
NerdWallet
Remote, Canada
- $161,000 to $243,000 CAD / year
- Full-time
- Remote
Advanced proficiency in Python and SQL, with extensive experience using modern machine learning frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
Added 18 hours ago
G
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft
Montreal, QC
- Full-time
Added 18 hours ago
BC
Brand Marketing Analyst | Betty CA
Betty CA
Toronto, ON
- $90,000 to $120,000 CAD / year
Proficiency in SQL, with the ability to write and troubleshoot queries independently rather than relying on pre-built reports.

TEEMA

Senior Machine Learning Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Must Haves:

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.

Location: Hybrid – 3 days a week onsite

Public Sector Experience: preferred but not required

Description

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.

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.

General Skills:

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.

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More about this job

Responsibilities

Develop, deploy, integrate, and operationalize machine-learning and deep-learning solutions, moving models from experimentation into reliable production environments. Establish reusable deployment patterns, monitoring, tooling, and automation to support model performance and enterprise-scale operations.

Requirements

Requires advanced hands-on experience with Azure Machine Learning or Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, and monitoring, along with strong Python and machine-learning engineering skills. Candidates should understand machine-learning algorithms, statistics, data preparation, feature engineering, model evaluation, tuning, drift, retraining, and production troubleshooting; public-sector experience is preferred but not required.

Skills

Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Python
Machine Learning
Model Deployment
Model Monitoring
Containers
APIs
Automation
Databricks
SQL
Power BI
Power Automate
Statistics

Visa sponsorship

Not detected in the job text

Keywords

Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
MLOps
CI/CD
Containers
APIs
Automation
Model Deployment
Monitoring
Observability
Python
SQL
Power BI
Power Automate
Visual Studio Code
Git
Jira
Azure ML Studio
Databricks
Machine Learning
Deep Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Drift
Data Cleaning

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