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Added 1 month ago
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Data Engineering Consultant
Netlight
Toronto, ON
- Full-time
Tech agnostic mindset with proficiency and experience in some of the following: Python, Databricks, PySpark or Spark, SQL, Airflow, Cloud (AWS, GCP, Azure)
Added 1 month ago
MF
AI & Automation Engineer (Enterprise)
Magnet Forensics
Ottawa, ON · Toronto, ON · Waterloo, ON
- $110,000 to $130,000 CAD / year
- Full-time
Hands-on experience with automation platforms, enterprise business systems (e.g., Salesforce, NetSuite, Jira Service Management, Microsoft 365), APIs, integrations, and at least one…
Added 1 month ago
Research Officer in Accelerated Materials Discovery Laboratories
National Research Council Canada
Mississauga, ON
Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
Added 1 month ago
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Senior AI Developer (Coming Soon!)
Nuclear Promise X
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
…no immediate opening at this time, but candidates who align with our needs may be contacted as opportunities…
Added 1 month ago
RS
Site Reliability Engineer
Redwood Software
ON
- $125,000 to $145,000 CAD / year
Proficiency working in Linux environments with strong Bash and/or Python scripting skills for automation and troubleshooting.
Added 1 month ago
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Python Full Stack Developer
Astek
Montreal, QC
- Full-time
Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
Added 1 month ago
PC
Spécialiste DevOps / DevOps Specialist (Signature)
Portage CyberTech
Montreal, QC
- Full-time
Portage CyberTech is looking for a DevOps Specialist with experience in development and strong expertise in automation and continuous deployment on AWS infrastructure, to contribute to the…
Added 1 month ago
VI
Machine Learning Associate
Vector Institute
Toronto, ON
- Up to $32 CAD / hour
- Contract
…the FastLane MLA Program. In this role, MLAs will be matched with Canadian small- and medium-sized enterprises (SMEs) to work on applied projects focused on Generative AI and Agentic AI.…
Added 1 month ago
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Senior Infrastructure Engineer
JSI
Ottawa, ON
- Full-time
JSI Telecom is seeking a highly motivated and experienced Senior Infrastructure Engineer (with strong Networking) to design, implement, and support complex enterprise and customer…
Added 1 month ago
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Engineering Excellence NAM - SVP
Citi
Mississauga, ON
- Full-time
…continuously improve their software delivery performance - with a particular focus on reducing cycle time as a lever for organizational…
Added 1 month ago
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Site Reliability Engineer (1890)
Direct IT Recruiting Inc.
Toronto, ON
- $85 to $94 CAD / hour
- Contract
SKILLS: Python, GitHub Actions, CI/CD, automation, Site Reliability Engineering, Dynatrace, Argo CD, PowerShell, observability
Added 1 month ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Advanced proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch or Scikit‑learn.
Added 1 month ago
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Manager, Client Analytics
Bond Brand Loyalty
Toronto, ON
- $97,416.55 to $129,764.75 CAD / year
Proficiency in SQL and Python or R; familiarity with Snowflake and Databricks is an asset.
Added 1 month ago
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Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 1 month ago
Research Officer in Self-driving Laboratories for Accelerated Process Optimization for Clean Energy
National Research Council Canada
Mississauga, ON
Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
Added 1 month ago
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Senior Software Developer, AI Platform
Wealthsimple Technologies
Remote, Canada
- $152,000 to $189,000 CAD / year
- Full-time
- Remote
…Wealthsimple. You'll work in a polyglot environment of Ruby on Rails, Python, TypeScript, and Java/Kotlin, partnering with teams across Platform Engineering to build tooling that is adopted…
Added 1 month ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
Added 1 month ago
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Senior Backend Engineer
Eleven-X
Waterloo, ON
- Full-time
You'll work with people who share the same values of being passionate, innovative, accountable, collaborative, and respectful. We take care of our teammates by offering meaningful and…
Added 1 month ago
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QNX Open Source Analyst
BlackBerry QNX
Ottawa, ON · Waterloo, ON
- Full-time
Technical competency with multiple programming languages such as C, C++, Python, Rust
Added 1 month ago
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QNX Open Source Analyst
BlackBerry
Ottawa, ON · Waterloo, ON
- Full-time
Technical competency with multiple programming languages such as C, C++, Python, Rust
Added 1 month ago
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Security & AI DevSecOps Expert (Hybrid)
Ateko, backed by Bell Canada
Toronto, ON
- Contract
Collaborate with development, architecture, and infrastructure teams to promote DevSecOps best practices.
Added 1 month ago
TC
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 1 month ago
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Manager, Business Intelligence Finance
Apotex
Toronto, ON · North York, ON
- $109,933.56 to $153,906.58 CAD / year
…medicines and health products for millions of people worldwide, with a broad portfolio of generic, biosimilar, innovative branded pharmaceuticals and consumer health products. Headquartered…
Added 1 month ago
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Senior Optical Engineer
Ciena
Ottawa, ON
- $94,100 to $150,300 CAD / year
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 3 months ago
Business Intelligence Analyst
CAA Club Group
Winnipeg, MB
In collaboration with BI Developer, support development of data solutions, including data models, data lifecycle management, data access and reporting elements.

AI and Data - Manager - AI/ML Engineer

AB, Canada
Calgary, AB, T2P 1M4, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Dec 20, 2026
Experience: 6+ years of experience delivering AI/ML solutions, including leadership of project teams; prior experience in professional services or consulting is an asset.
Posting language: English
Posted: Aug 31, 2026

Original job description

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

This job posting relates to an existing vacancy within our organization.

As a Manager in AI/ML Team, you will play a critical leadership role in designing, delivering and scaling AI-driven solutions for our clients. You will lead teams, engage with senior client stakeholders, and translate complex business challenges into secure, ethical and high‑impact AI/ML solutions. This role combines hands‑on technical expertise with solution leadership, people development and client relationship management.

Your key responsibilities

Lead and manage end‑to‑end delivery of AI/ML engagements, from use‑case identification and solution design through development, testing, deployment and optimization.
Partner with client leadership and key stakeholders to understand strategic business objectives, operating models and technology landscapes that AI solutions will support.
Collaborate closely with architects, data scientists, engineers and cross‑functional teams to design robust, scalable AI/ML solutions that integrate seamlessly with clients’ existing technology stacks.
Provide technical and delivery leadership to project teams, including coaching junior team members and overseeing quality, timelines and outcomes.
Establish and enforce AI development and testing standards, including functional, performance, security, privacy, explainability and ethical considerations.
Stay current on emerging AI/ML tools, platforms, frameworks and regulations, and proactively assess their applicability to client engagements.
Identify and mitigate delivery risks, including model bias, data quality issues, security concerns and regulatory implications.
Support business development activities, including contributing to proposals, estimates, solution architectures and thought leadership.

Skills and attributes for success

Strong analytical and problem‑solving skills with the ability to translate ambiguity into structured, actionable AI solutions.
Proven ability to lead teams and influence stakeholders across technical and non‑technical audiences.
Strong communication and presentation skills, with confidence engaging at senior client and executive levels.
Ability to manage multiple concurrent priorities, balancing delivery, people leadership and client expectations.
A growth mindset with a passion for continuous learning and innovation in AI and data‑driven technologies.

To qualify for the role you must have

Bachelor’s degree in Computer Science, Engineering, Data Science or a related field.
6+ years of experience delivering AI/ML solutions, including leadership of project teams; prior experience in professional services or consulting is an asset.
Strong hands‑on experience with cloud‑based AI/ML services (AWS, Azure and/or GCP).
Advanced proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch or Scikit‑learn.
Experience designing and executing testing strategies for AI/ML systems, including functional, performance and model‑level validation.
Solid understanding of MLOps practices, version control (e.g., Git) and CI/CD pipelines for AI systems.
Experience working in Agile delivery environments.

Ideally, you’ll also have

Deep understanding of AI testing methodologies, including bias and fairness testing, robustness testing, explainability and security testing.
Hands‑on experience with Large Language Models (LLMs), Natural Language Processing (NLP) and generative AI frameworks.
Familiarity with AI‑specific testing and monitoring tools such as DeepChecks or similar platforms.
Experience with API design, integration and deployment of AI‑enabled services.
Experience working with clients operating nationally and globally.

What we offer you

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a discretionary bonus program, a comprehensive medical, prescription drug and dental coverage plan, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

Support and coaching from some of the most engaging colleagues in the industry
Learning opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

Are you ready to shape your future with confidence? Apply today.

To help create the best experience during the recruitment process, please describe any accommodations you may need.

Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with the highest ethical principles and regulatory requirements.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.

Apply About employer

More about this job

Responsibilities

Lead and manage end-to-end delivery of AI/ML engagements, from use-case identification through deployment and optimization. Collaborate with cross-functional teams and senior client stakeholders to design scalable, ethical, and high-impact AI solutions.

Requirements

Requires a bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Candidates must have 6+ years of experience in AI/ML solution delivery and leadership, with proficiency in Python and cloud-based AI platforms.

Skills

AI/ML solution design
Team leadership
Stakeholder management
Python
TensorFlow
PyTorch
Scikit-learn
Cloud-based AI/ML services
AWS
Azure
GCP
MLOps
CI/CD pipelines
Agile delivery
Model validation
Generative AI

Benefits

Discretionary bonus program
Medical coverage
Prescription drug coverage
Dental coverage
Vacation policy
Paid personal days
Coaching and support
Learning opportunities

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Data Science
Python
AWS
Azure
GCP
TensorFlow
PyTorch
Scikit-learn
MLOps
Git
CI/CD
Agile
Generative AI
NLP
LLMs
DeepChecks
API Design
Consulting
Project Management
Model Bias
Explainability
Security Testing
Performance Testing
Data Quality
Strategy
Leadership
Software Engineering
Cloud Computing

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