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Internship E Learning Developer Jobs in Calgary, AB

... developer within a delivery-focused team * Strong software engineering fundamentals (TDD, CI/CD, version control, etc.) * Proficiency in at least two programming languages (e.g., Python, Java, C#)

Lead Machine Learning Engineer

Calgary, AB ยท Remote

$225K - $260K/yr

... e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed ... Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a ...

Ability to run network and traffic analysis tools (e.g., Wireshark) * Strong troubleshooting ... internship opportunities. * Global impact : collaborate on impactful projects for top global ...

Our structural engineers don't just focus on the design of framing elements, they are involved with ... development via e-learning pathways; and financial support for relevant external learning ...

Senior Developer

Calgary, AB ยท On-site

CA$64K - CA$106K/yr

Experience with state management solutions (e.g., Bloc, Riverpod, Provider) * Strong experience ... supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and ...

Developer Advocate, AI Enablement

Calgary, AB ยท On-site +1

CA$93K - CA$141K/yr

Collaborate with Learning & Development to embed AI capability pathways into firm-wide learning ... Familiarity with enterprise AI platforms (e.g., Microsoft Copilot Studio) and governance principles.

Developer

Calgary, AB ยท On-site +1

... e.g., OpenAI/LLMs, document processing, analytics pipelines) is a strong asset. - Experience ... If you are highly motivated, committed to continual learning, and excited to be a part of a growing ...

... e.g., MBA, MIS, Information Systems, Management, or Analytics) is preferred. * Basic understanding ... learning through coursework, internships, or project experience is a plus. Benefits 1. Health ...

Looking to get the most out of your upcoming internship? Hatch is seeking a Geotechnical ... Work in an exciting environment where you can apply your academic learning on a daily basis.

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Internship E Learning Developer information

What are some typical projects or tasks an Internship E-Learning Developer might work on?

As an Internship E-Learning Developer, you'll often be involved in creating interactive online learning modules, assisting with multimedia content development (such as videos or quizzes), and helping to update or maintain existing e-learning platforms. You may also collaborate with instructional designers and subject matter experts to ensure course content is engaging and effective. This role provides hands-on experience with industry-standard authoring tools and learning management systems, making it a great starting point for a career in digital education.

What is the difference between Internship E Learning Developer vs E Learning Specialist?

AspectInternship E Learning DeveloperE Learning Specialist
Required CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational or corporate training departmentsFull-time professional role in corporate, educational, or training organizations
Employer & Industry UsageUsed in educational institutions, e-learning companies, and corporate training programsCommon in corporate, higher education, and e-learning service providers

The main difference is that an Internship E Learning Developer is an entry-level, temporary position aimed at gaining experience, while an E Learning Specialist is a full-time professional responsible for designing, developing, and managing e-learning content and programs.

What does an Internship E Learning Developer do?

An Internship E Learning Developer assists in creating, designing, and maintaining online educational content and courses. They work with subject matter experts, instructional designers, and multimedia teams to build interactive learning modules, quizzes, and other digital resources. Interns often use e-learning software, such as Articulate Storyline or Adobe Captivate, and help test courses for quality and usability. This role is ideal for those interested in educational technology, instructional design, and digital content creation.

What are the key skills and qualifications needed to thrive as an Internship E Learning Developer, and why are they important?

To thrive as an Internship E Learning Developer, you need a foundational understanding of instructional design, e-learning principles, and proficiency in digital content creation, often supported by coursework in education or related fields. Familiarity with e-learning authoring tools like Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and attention to detail set candidates apart in developing engaging and effective learning experiences. These skills and qualities are essential for designing interactive, learner-focused modules that meet educational objectives and organizational needs.
What cities near Calgary, AB are hiring for Internship E Learning Developer jobs? Cities near Calgary, AB with the most Internship E Learning Developer job openings:
Machine Learning Engineer

Machine Learning Engineer

Hays

Calgary, AB โ€ข Hybrid

Other

Posted 4 days ago


Job description

Role: Machine Learning Engineer - Contract

Length: 1 year (potential for extension)

Location: Calgary (Hybrid, 2 days onsite)


Your New Company

Join a leading enterprise organization undergoing a major transformation in its data and AI capabilities. Youโ€™ll be part of a high-performing, collaborative team focused on building scalable machine learning solutions that drive meaningful business impact across the organization.


Your New Role

As a Machine Learning Engineer, you will operate at the intersection of software engineering and advanced machine learningโ€”owning the design, development, and optimization of ML models and data-driven applications.

Key responsibilities include:

  • Participating in team planning sessions and contributing to delivery roadmaps
  • Building and optimizing machine learning models and supporting data pipelines
  • Providing software development expertise to data science and analytics teams
  • Translating business requirements into technical solutions and estimating implementation effort
  • Prototyping and experimenting with new ML solutions
  • Collaborating cross-functionally with architects, product teams, and business stakeholders
  • Designing and implementing model deployment strategies (automation, monitoring, drift detection)
  • Applying software engineering best practices (CI/CD, testing, maintainability) to ML solutions
  • Testing, debugging, and improving application code
  • Conducting code reviews and contributing to engineering excellence across the team


What Youโ€™ll Need to Succeed

Must-Have Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • 3+ years of hands-on experience delivering AI/ML solutions in production environments
  • 2+ years of experience as a software developer within a delivery-focused team
  • Strong software engineering fundamentals (TDD, CI/CD, version control, etc.)
  • Proficiency in at least two programming languages (e.g., Python, Java, C#)
  • Hands-on experience with Python data libraries and building solutions in AWS
  • Solid understanding of both relational and non-relational databases (SQL and NoSQL)
  • Strong foundation in statistical concepts and applying data-driven problem solving
  • Experience with DevOps practices, automation, and deployment pipelines
  • Deep understanding of machine learning algorithms, techniques, and agentic/AI-driven solutions
  • Strong testing, debugging, and troubleshooting capabilities
  • Excellent collaboration and communication skills in a team environment

Nice-to-Have:

  • Experience building scalable data pipelines
  • Exposure to frontend/web application development
  • Hands-on experience within the AWS ecosystem
  • Experience working with platforms such as Databricks


What Youโ€™ll Get in Return

  • Opportunity to work on cutting-edge AI/ML and data products at enterprise scale
  • Exposure to modern cloud ecosystems and advanced ML deployment practices
  • Collaborative, high-performing engineering and data teams
  • Competitive compensation and long-term contract opportunity
  • Flexible hybrid working environment


What You Need to Do Now

If youโ€™re a Data Scientist who thrives in a hands-on, engineering-focused ML environment, apply now or reach out directly for a confidential discussion.