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Added 4 days ago
E
Quality Assurance Specialist
Entrust
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
Basic scripting, SQL, API testing, or test automation experience using tools or languages such as JavaScript, TypeScript, Java, Python, PowerShell, Selenium, Playwright, Postman,…
Added 4 days ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
Added 4 days ago
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Capital Management Technology Engineering Lead - SVP
Citi
Mississauga, ON
- Full-time
Added 4 days ago
VP
System Integration Project Manager
Vista Projects Limited
Calgary, AB
- Full-time
Added 4 days ago
VH
Full Stack Software Engineer
Verismo Health
Markham, ON
- Full-time
Full-time, on-site Full-Stack Developer based in Markham, Ontario. We build and run healthcare software that handles patient data under PHIPA. We are a small team that works AI-first. Most…
Added 4 days ago
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Senior Product Analyst (Application Support)
FCC / FAC
Regina, SK
- Full-time
Ability to use SQL to extract, validate and analyze data in support of application support activities
Added 4 days ago
AG
Geologist II, Exploration
Alamos Gold Inc.
Dubreuilville, ON
- Full-time
Experience with software such as Leapfrog, Datamine, ArcGIS, AutoCAD, acQuire, or other SQL-based geological databases.
Added 4 days ago
TS
TDS Operations Analyst I, Client Enablement
TD Securities
Toronto, ON
- Full-time
Proficiency in data management tools (e.g., Excel, SQL), with a st
Added 4 days ago
TS
TDS Operations Analyst II, Client Enablement
TD Securities
Toronto, ON
- Full-time
Proficiency in data management tools (e.g., Excel, SQL), with a strong capacity to analyze data,
Added 4 days ago
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Senior Data Architect
Miratech
Mississauga, ON
- Full-time
Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark.
Added 4 days ago
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Junior Data Analys
IO School
Canada
- Full-time
Familiarity with SQL for querying and extracting data is preferred.
Added 4 days ago
SI
Software Developer
Spait Infotech
Canada
- Full-time
Database knowledge: MySQL, SQL Server, or PostgreSQL.
Added 4 days ago
TI
Machine Learning Engineer - Senior
TekStaff IT Solutions
Toronto, ON
- Contract
…into reliable production environments. Tech stack: Python, SQL, Power BI, Power Automate, VSCode, Git, Jira, Azure (ML Studio, AI Foundry),…
Added 4 days ago
AP
Operations Analyst - Entry to Mid Level
Abodex Process Systems Private Limited
Canada
- Full-time
Familiarity with tools such as Power BI, Tableau, SQL, or similar analytics platforms is an advantage.
Added 4 days ago
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Assistant Professor - Master of Data Analytics
University of Niagara Falls Canada
Niagara Falls, ON
- Full-time
Experience with technologies such as Python, R, SQL, Power BI, Tableau, and similar platforms.
Added 4 days ago
MQ
Senior QA Analyst – IVR & Contact Centre Testing
Miipe Quality Solutions
Markham, ON
- $60,000 to $75,000 CAD / year
- Full-time
Added 4 days ago
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ETL Data Lead (Hybrid)
Cognizant
Halifax, NS
- Full-time
…Informatica IICS and Snowflake. The ideal candidate will have strong SQL skills, experience with source-to-target mappings, and the ability to validate and troubleshoot data across cloud…
Added 4 days ago
C
Développeur(se) Full Stack Java Spring Boot - React
CGI
Montreal, QC
- Full-time
Knowledge of SQL and PostgreSQL, data modelling or MongoDB.
Added 4 days ago
ES
Artificial Intelligence Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
…enterprise APIs Utilize expertise in Python programming and SQL for solution development Implement Generative AI techniques including LLMs LangChain LangGraphs Claude Gemini prompt…
Added 4 days ago
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Data Science Developer - Senior/Senior Data Scientist / ML Engineer
ThoughtStorm
Toronto, ON
- Contract
Advanced proficiency in Python and SQL for data analysis, model development, and processing real-world datasets.
Added 4 days ago
T
TDS Operations Analyst I, Client Enablement
TD
Toronto, ON
- Full-time
Proficiency in data management tools (e.g., Excel, SQL), with a st
Added 4 days ago
SL
ServiceNow Associate Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Solid understanding of SQL and relational databases
Added 4 days ago
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Senior Application Developer- Azure
CIBC
Toronto, ON
- Full-time
You can demonstrate experience. 2-3 years as an Application Developer/Support and Integration Specialist wearing multiple hats to help support internal clients. You must have good knowledge…
Added 4 days ago
KC
Senior Data Consultant – Databricks
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Develop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks.
Added 4 days ago
TR
Data Developer III
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Reporting to the Lead, the Senior Data Developer is responsible for supporting the development of reliable site data that enables Operations performance reporting and analytics.

TekStaff IT Solutions

Machine Learning Engineer - Senior

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

TekStaff's Client has a current vacancy for " Machine Learning Engineer - Senior”

Job Description

This is a 6 month contract located in Toronto, ON (3 days onsite/2 days remote (subject to change).

Please note - This is a 7.25 hour work day.

*All successful candidates will be subject to a mandatory credit AND criminal check as per the client.

*Please note that all contractors are subject to a possible Holiday Leave program schedule, set by the client.

Job Details:

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

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.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

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More about this job

Responsibilities

Develop, deploy, integrate, and operationalize machine-learning solutions, establishing reusable MLOps patterns, tooling, monitoring, and automation to move models reliably into production. Design and test models, analyze and prepare data, evaluate performance, and support production scaling and troubleshooting.

Requirements

Requires advanced hands-on experience with Azure Machine Learning or Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, monitoring, and observability. Candidates should have strong Python and machine-learning engineering skills, deep knowledge of algorithms and statistics, and experience taking models from experimentation into production.

Skills

Python
Machine Learning
Deep Learning
Azure Machine Learning
Azure AI Foundry
MLOps
CI/CD
Containerization
API Integration
Automation
Model Deployment
Model Monitoring
Observability
SQL
Databricks
Feature Engineering

Visa sponsorship

Not detected in the job text

Keywords

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

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