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Associate Machine Learning Jobs in Calgary, AB (NOW HIRING)

AppDirect

Software Developer

Calgary, AB

Contribute to data pipeline work that moves and associates model outputs with the right users and ... Exposure to machine learning model integration or building AI-powered product features is an asset ...

Crateandbarrel

Visual Associate

De Winton, AB

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Crateandbarrel

Operations Associate

De Winton, AB · On-site

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Crateandbarrel

Sales Associate

De Winton, AB · On-site

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Calgary, AB

Associate Machine Learning information

See Calgary, AB salary details

$9

$39

$91

How much do associate machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for associate machine learning in Calgary, AB is $39.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $55.29 per hour, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Calgary, AB? The most popular types of Machine Learning jobs in Calgary, AB are:
Associate Machine Learning jobs near you
Software Developer

Software Developer

AppDirect

Calgary, AB

Other

Posted 3 days ago

Job description

About AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture-one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About the team - Tackle

Tackle, a business unit of AppDirect, is the leading solution built to help software companies generate revenue through data-driven Cloud go-to-market (Cloud GTM). Our platform and team help customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft.

Tackle serves more than 500 software companies-including CrowdStrike, HashiCorp, New Relic, and Snyk-from high-growth startups to the largest software companies in the world.

About You

You'll join a small, high-ownership team building the intelligence layer of Tackle's platform - turning machine learning models into real product experiences that customers use every day. Your day-to-day work spans the full stack: TypeScript on both the backend (Node.js) and frontend (React), running on AWS serverless infrastructure including Lambda, API Gateway, and DynamoDB. Because the team is small, you'll own meaningful portions of the product end to end, collaborating directly with a product manager and a data scientist to ship features that are highly visible across Tackle's customer base. You bring a growth mindset to your work - you're comfortable asking questions, learning new services quickly, and closing gaps through curiosity rather than waiting for perfect prior experience. You communicate clearly in a distributed team setting and take pride in writing code that is testable, maintainable, and ready for production.

What you'll do and how you'll have an impact

  • Build and maintain full-stack features on Tackle's propensity-to-buy product, exposing machine learning model outputs directly to customers through a React frontend and TypeScript/Node.js backend.
  • Design and implement serverless backend services using AWS-native tools such as Lambda, API Gateway, and DynamoDB.
  • Contribute to data pipeline work that moves and associates model outputs with the right users and accounts.
  • Take end-to-end ownership of features - from design through deployment - on a team where your contributions are immediately visible in production.
  • Collaborate daily with a product manager and data scientist to shape how AI-driven insights are surfaced in the product interface.
  • Participate in code reviews to uphold code quality standards and share knowledge across a small engineering team.

What we're looking for

  • 2+ years of professional experience building full-stack web applications, with working knowledge of both frontend and backend layers.
  • Professional experience with React and TypeScript (or strong proficiency in JavaScript/TypeScript with demonstrated readiness to work in a TypeScript-only codebase).
  • Hands-on experience deploying applications on AWS, particularly with serverless services such as Lambda, API Gateway, or DynamoDB.
  • Familiarity with data pipelines or moving/transforming data between systems (nice to have, but valuable given how the team operates).
  • Exposure to machine learning model integration or building AI-powered product features is an asset, not a requirement.
  • A strong sense of ownership, because on a team this small you will hold significant responsibility for product areas and need to drive work forward with limited direction.
  • Intellectual curiosity that leads you to understand how your code fits into the broader system - this matters because you'll work across the stack and alongside non-engineering roles where asking the right questions shapes outcomes.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

At AppDirect, AI tools may assist our recruitment team with administrative automations - always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy - all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com.

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