norfolk ab data Jobs – 102 Openings This Week

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Bank of Canada —Calgary, AB
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Parkland —Calgary, AB
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Léger —Calgary, AB
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Northview Residential REIT —Calgary, AB
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CMLS —Calgary, AB
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Evolution ALS —Calgary, AB
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Startec —Calgary, AB
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Senior Financial Analyst, Retail Finance
Parkland —Calgary, AB
- Full-time
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Analyst, Program Delivery Controls
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Data & Reporting Specialist (Workforce Planning)
Metrolinx —Canada
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AI and Data - Manager - AI/ML Engineer

EY -
Calgary, AB

Apply Now

Job details

Qualifications

TensorFlow
CI/CD
Azure
Computer Science
PyTorch
Engineering
Git
Google Cloud Platform
AWS
Analysis skills
Presentation skills
Bachelor's
Natural language processing
APIs
Agile
AI
Leadership
Communication skills
Python
Data Science

Full job description

Location: Calgary

Other locations: Primary Location Only

Salary: Competitive

Date: May 21, 2026

Job description

Requisition ID: 1704335

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 Now

Refine Your Search

data jobs in norfolk ab

AI and Data - Manager - AI/ML Engineer

Financial Analyst (Intermediate), Retail Finance

Senior Quantitative Analyst (Financial Markets)

Principal Analyst, Large Load Intelligence - 26150

Performance Marketing Specialist

Financial Analyst (Intermediate), Retail Finance

Senior Research Analyst

Revenue Operations Analyst (Temporary Full-Time – 6-Month Term)

Manager Quantitative Commodity Market Risk

Financial Planning and Analysis Analyst

Financial Analyst, Commercial Real Estate

Financial Analyst, Commercial Real Estate

Inside Sales and Marketing Specialist

Project Controls Analyst

Senior Financial Analyst, Retail Finance

Analyst, Program Delivery Controls

Data & Reporting Specialist (Workforce Planning)

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