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

DataVisor

Delivery Engineer - Canada

Calgary, AB · On-site

CA$80K - CA$120K/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

Delivery Engineer - Canada

Calgary, AB · Remote

CA$80K - CA$120K/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 ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business intelligence across complex operations, in any industry. Reporting Structure/Department Reporting to the ...

Promise Robotics

Software Developer

Calgary, AB · On-site

Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

MongoDB

Software Engineer, Code Generation

Calgary, AB · On-site

... machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support. This role will be ...

Spgi

Senior Data Scientist

Calgary, AB

CA$90K - CA$160K/yr

The Collection Platforms & AI team you will work on building ML powered products and capabilities ... You will be part of a dynamic team that solves diverse problems using applied machine learning and ...

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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.

Technical Project Manager - Client Service Delivery

DataVisor

Calgary, AB • On-site

CA$120K - CA$170K/yr

Full-time

Medical, PTO

Re-posted 27 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in 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 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!

Position Overview:
We are seeking a highly skilled technical Project Manager to join the client service team. On one hand this is a client-facing service delivery manger role. The ideal candidate will be managing all client communications and driving overall delivery schedule, be responsible for designing and implementing innovative integration solutions that meet our client's technical and business requirements. This role involves working closely with clients, sales teams, and other stakeholders to ensure successful project outcomes. On another hand, this is a technical delivery role. The candidate will be responsible for driving and managing all engineering threads in order to deliver the project, and conduct technical hands-on work as needed. This is also a technical hands-on role.

Key Responsibilities:

  • Manage and drive client communications throughout the entire delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a technical Project Manager or in a similar technical role.
  • Strong understanding of software development, system architecture, and integration principles. Strong solutioning skills on Saas platform data integration.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong client-facing communication skills and consultant/client management capabilities.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • Creative problem-solving skills and a results-oriented mindset.
  • Knowing auti-fraud in the Financial or internet industry will be a plus.
  • Experience in real-time computing, big data, or machine learning will be a plus.

Benefits

Health Insurance, PTO

The expected base salary range for this role is CAD $120,000 - $170,000 per year, depending on experience, skills, and location. This position may also be eligible for bonus, equity, and benefits.

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