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Machine Learning Ai Intern Jobs in Calgary, AB (NOW HIRING)

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Its patented unsupervised machine learning technology, advanced device intelligence, powerful ...

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... Its patented unsupervised machine learning technology, advanced device intelligence, powerful ...

Data Elephant Inc

Senior DBX AI/ML Engineer

Calgary, AB · On-site

Implement and operationalize machine learning models (training, deployment, monitoring) * Work with modern AI tooling (LLMs, agents, orchestration frameworks) * Collaborate with clients to translate ...

ALS

Geodata Scientist

Calgary, AB · Remote

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification ... AI techniques. * Familiarity with geophysical, geological, geochemical, remote sensing, and ...

HUB

Data Scientist

Calgary, AB

The successful candidate brings classical data science fundamentals (statistics, machine learning, experimental design) and is equally comfortable in the emerging world of AI engineering: prompting ...

Accenture

AI LLM Technology Architecture

Calgary, AB · On-site

Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems - spanning classical machine learning, generative AI, and agentic systems ...

New

AltaML

Senior AI Architect

Calgary, AB · Hybrid

CA$130K - CA$160K/yr

Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI. Competitive Benefits - For all full time, permanent employees. Office as a ...

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Showing results 21-40

All JobsMachine Learning Ai Intern JobsMachine Learning Ai Intern Jobs in Calgary, AB

Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

Machine Learning Ai Intern jobs near you
Infographic showing various Machine Learning Ai Intern job openings in Calgary, AB as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 61% In-person, 4% Hybrid, and 35% Remote job distribution.

Senior Software Engineer - Canada

DataVisor

Calgary, AB • Remote

CA$120K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.

What you'll do:

  • Design and build machine learning systems that process data sets from the world’s largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 5+ years software development experience
  • 5+ years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus
  • Preferred based in Calgary, but could be a fully remote position

Benefits

Compensation: Annual salary range of CAD $120,000 – $150,000, commensurate with experience.

Canada Life Policy

Health Insurance including (Extended Health Care, Vision Care, and Dental Care)

Life Insurance, Accidental Insurance

Retirement Savings Plan

Paid Vacation