IT & data jobs in Canada

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Added 21 days ago
C
Machine Learning Specialist
Contextere
Ottawa, ON
- Full-time
Contextere is an Ottawa-based AI company helping industrial and defence organizations transform operational data into actionable intelligence for technicians, operators, maintainers, and…
Added 21 days ago
VN
Junior Data Analyst
Vetoquinol N-A Inc
Lavaltrie, QC
- Full-time
Hybrid work arrangement: three (3) days per week in the office and two (2) days per week working remotely
Added 21 days ago
CI
Student Intern, SCM Data Analyst
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
…management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the…
Added 21 days ago
Service Desk Analyst
Rush Street Interactive
Toronto, ON
Added 21 days ago
IG
Data Analyst
Insight Global
Vancouver, BC
- $47 to $53 CAD / hour
- Contract
Insight Global is seeking a Senior Data Analyst to join the Digital Optimization Team at one of North America's leading athletic apparel retailers.
Added 21 days ago
LM
Data Engineer - Lahal Casino Management
Lahal Management LP
Coquitlam, BC
- $95,000 to $115,000 CAD / year
- Full-time
Working onsite five days per week to support strong collaboration, relationship‑building, and high‑visibility partnership with operational teams
Added 21 days ago
Systems Analyst II
City of Vancouver
Vancouver, BC
The Senior Solid Waste Data Systems Analyst is responsible for leading the design, implementation, governance and continuous improvement of the Solid Waste data platform, data products and…
Added 21 days ago
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Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 21 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 21 days ago
KR
Data Architect
KTek Resourcing
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 21 days ago
TI
Techno Functional Business Systems Analyst
Themesoft Inc.
Toronto, ON
- Contract
Added 21 days ago
TC
BI Data Engineer / Analyst
TMC Canada
Montreal, QC
- Full-time
Mode de travail : Hybride – 2 jours au bureau et 3 jours en télétravail
Added 21 days ago
MI
DataOps/Cloud Data Engineer - Senior
Maarut Inc
Toronto, ON
- Contract
Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
Added 21 days ago
RS
Senior Business Intelligence Specialist
Ryan Specialty
Toronto, ON
- Full-time
The Senior Business Intelligence Specialist plays a critical role in transforming data into actionable business insights that support strategic decision-making across SSRU and Ryan…
Added 21 days ago
M
Machine Learning Engineer
Manulife
Toronto, ON
- Full-time
We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's…
Added 21 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 21 days ago
EC
Data Engineer
Experis Canada
Toronto, ON
- Contract
- Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF).
Added 21 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
Senior Data Engineer - Databricks, Microsoft Fabric:
Added 21 days ago
IS
AWS Data Engineer (CDK
Iris Software Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…and financial services corporation is looking to hire an AWS Data Engineer (CDK) Our direct client is a is a world-leading financial services company, provides consumers, corporations,…
Added 21 days ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Remote, Canada
- Full-time
- Remote
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 21 days ago
TI
Techno-Functional Business Systems Analyst
Themesoft Inc.
Toronto, ON
- Contract
Added 21 days ago
IS
Business System Analyst
Iris Software Inc.
Toronto, ON
- Contract
Collaborate with architecture, development, and integration teams to define system interactions, API requirements, data needs, and technology solutions.
Added 21 days ago
H
Senior Machine Learning Engineer
Hays
Toronto, ON · Greater Toronto Area, Canada
- Contract
Working primarily with Python and PyTorch, you will contribute across the complete ML lifecycle, from data analysis and feature preparation through experimentation, training, evaluation,…
Added 21 days ago
AS
System Administrator
Acronym Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $49 CAD / hour
- Contract
Monitor backup systems, review backup job statuses, troubleshoot failures, and assist with data recovery activities.
Added 21 days ago
SJ
IT Support & Training Specialist
St. John's-Ravenscourt School
Winnipeg, MB
- Full-time

Contextere

Machine Learning Specialist

Ottawa, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 20, 2026
Experience: · At least 3 years of experience designing, building, deploying, and operating production ML applications.
Posting language: English
Posted: Oct 21, 2026

Original job description

About Contextere

Contextere is an Ottawa-based AI company helping industrial and defence organizations transform operational data into actionable intelligence for technicians, operators, maintainers, and leaders.

We work with global organizations including defence agencies, aerospace leaders, transportation providers, and industrial enterprises to deploy practical AI solutions that deliver measurable operational impact.

Role Summary

The Machine Learning Specialist will contribute to production AI and ML delivery from requirements and architecture through data preparation, model development, deployment, monitoring, and improvement. In this hands-on development role, this person will turn operational needs into secure, scalable, maintainable AI products that deliver measurable value in industrial and defence environments.

The Opportunity

This is a critical technical role for someone who wants to shape how industrial and defence organizations apply AI in real operations. Working across software engineering, product, and customer teams, you will develop multi-faceted natural language AI/ML solutions with automated data pipelines, flexible deployment architectures, and secure trustworthy production services.

You will strengthen product security, transparency, and governance while influencing technical direction through active collaboration and development. The ideal candidate combines ML and applied software-development depth with sound judgment, business awareness, and clear communication. The position offers visibility and growth through work with a dynamic team and recognized industrial and defence customers.

Key ResponsibilitiesMachine Learning Solution Development

· Translate business needs into ML requirements, solution designs, and scalable product applications.

· Design, test, and improve supervised, unsupervised, deep-learning, reinforcement-learning, NLP, and Generative AI solutions; run experiments and optimize model and product performance.

Data and ML Pipelines

· Build and test scalable pipelines for automated data extraction, ingestion, cleaning, and validation.

· Develop and optimize multi-model ML pipelines incorporating data ingestion, chunking, embeddings, and vector database operations to meet performance requirements.

Deployment, Operations, and Quality

· Develop, deploy, and optimize scalable, reliable ML services using Docker, APIs or real-time endpoints, Kubernetes, and Azure.

· Develop techniques to monitor model performance and automate drift detection, evaluation, and retraining.

· Develop efficient and maintainable software using object-oriented design, coding standards, version control, automated testing, and continuous integration.

Architecture, Security, and Governance

· Develop modular, reusable ML architectures that are flexible and scalable.

· Protect data, training artifacts, models, credentials, interfaces, and deployed services through appropriate security.

· Maintain lineage, metadata, versioning, and audit trails; apply governance for risk, security, accountability, and compliance.

Collaboration and Documentation

· Collaborate across engineering, product, client, and project teams; communicate requirements, trade-offs, risks, and progress to technical and non-technical audiences.

· Maintain architecture, model, and data-lineage documentation; contribute to peer reviews of code, designs, tests, and documentation.

What We’re Looking ForExperience and Education

· At least 3 years of experience designing, building, deploying, and operating production ML applications.

· Bachelor’s degree in computer science, mathematics, ML, AI, data science, or a related field; an advanced degree is an asset.

· Industrial, defence, and/or embedded-systems experience is an asset.

Technical Expertise

· Expert Python and strong production software-development skills, including object-oriented and modular design, data structures, algorithms, architecture, version control, automated testing, continuous integration, debugging, and code review; C++ is beneficial.

· Strong mathematics, statistics, data-modelling, and ML fundamentals, with hands-on experience in TensorFlow, PyTorch, scikit-learn, or comparable frameworks and architectures.

· Advanced NLP, ML computer vision, and applied Generative AI expertise, including RAG, embeddings, fine-tuning, vector databases, and LLM evaluation.

· Experience with Docker, Azure, MLOps/DataOps/DevOps, production deployment, distributed training, inference optimization, data lakes, and knowledge graphs.

Professional Skills

· Strong analytical skills, systems-thinking, creative problem-solving, and ability to anticipate security gaps and failure modes in complex pipelines.

· Excellent written, verbal, presentation, and technical-writing skills for varied audiences.

· Cross-functional collaboration and peer-review skills, including giving, receiving, and applying constructive feedback.

· Ability to work independently and collaboratively, manage competing priorities, and operate in ambiguity.

Why Join Contextere?

At Contextere, you will not just develop software - you will help put practical AI into the hands of the people who keep critical operations moving. This is an opportunity to work at the intersection of industrial innovation, national security, and frontline workforce transformation. With Contextere, you will:

· Shape the future of AI for the technicians, operators, maintainers, and mission teams who power the physical world.

· Work directly with the leadership team in a high-trust, high-visibility role where your organization, judgment, and execution discipline will matter.

· Engage with world-class defence, aerospace, transportation, and industrial organizations solving real operational problems.

· Join a Canadian AI company at a pivotal growth stage, with the opportunity to help define a category and build lasting enterprise value.

· Make a measurable impact in a role that blends development innovation, customer interaction, and meaningful career growth.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, develop, deploy, and improve production machine-learning solutions, including NLP and generative AI applications, automated data pipelines, and scalable ML services. Ensure solutions are secure, reliable, monitored, and governed, while collaborating with engineering, product, and customer teams and maintaining technical documentation.

Requirements

Requires at least three years of experience building and operating production ML applications, a bachelor's degree in a relevant field, expert Python skills, and strong software engineering and machine-learning fundamentals. Advanced NLP, computer vision, generative AI, cloud deployment, MLOps, and communication and collaboration skills are sought; industrial, defence, or embedded-systems experience and an advanced degree are assets.

Skills

Python
Machine Learning
Natural Language Processing
Generative AI
Retrieval-Augmented Generation
Deep Learning
Computer Vision
TensorFlow
PyTorch
Scikit-Learn
Docker
Kubernetes
Microsoft Azure
MLOps
Data Pipelines
Vector Databases

Visa sponsorship

Not detected in the job text

Keywords

Python
C++
Machine Learning
Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning
Natural Language Processing
Generative AI
Retrieval-Augmented Generation
Embeddings
Fine-Tuning
Vector Databases
Computer Vision
TensorFlow
PyTorch
Scikit-Learn
Docker
Kubernetes
Microsoft Azure
MLOps
DataOps
DevOps
Automated Data Pipelines
Distributed Training
Inference Optimization
Data Lakes
Knowledge Graphs
Continuous Integration

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IT & data jobs in Canada