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Full Time Fun Electrical Engineering Jobs in Calgary, AB

... Electrical Engineering, or other related technical disciplines. Key Skills & Competencies * Passion ... Drive to innovate and have fun through collaboration and generation of ideas which lead to ...

Bachelor's degree in electrical or similar engineering technology, or related degree, or equivalent ... RRC offers competitive salaries and benefits for full-time employees, including: * Flexible work ...

Bachelor's degree in electrical or similar engineering technology, or related degree, or equivalent ... RRC offers competitive salaries and benefits for full-time employees, including: * Flexible work ...

CoolIT Systems, Inc. is seeking a full-time Test Specialist, who can lead, oversee and support the ... BSc or MSc in Mechanical Electrical, Electronics, Computer Engineering or relevant field. * Strong ...

Job Type: Full-time Permanent Category: Internal/External Opportunities Powering a bright future ... Bachelor's degree in Electrical Engineering. * EIT or Professional Engineer with the Association of ...

... electrical engineers, landscape architects and sustainability experts who design for community wellbeing and urban vibrancy. We are a fun-loving bunch of big thinkers and city-shapers, who are ...

Showing results 41-60

Full Time Fun Electrical Engineering information

What are the key skills and qualifications needed to thrive as a full time fun electrical engineer?

To thrive as a Full-Time Electrical Engineer, you need a strong background in circuit design, electronics, mathematics, and a relevant engineering degree such as a B.S. in Electrical Engineering. Familiarity with CAD software (like AutoCAD or Altium), simulation tools (such as MATLAB or PSpice), and relevant certifications (like the EIT or PE license) is often required. Problem-solving, teamwork, and effective communication are crucial soft skills in this role. These competencies ensure the successful design, implementation, and troubleshooting of electrical systems while fostering innovation and collaboration.

What is the difference between Full Time Fun Electrical Engineering vs Part Time Fun Electrical Engineering?

AspectFull Time Fun Electrical EngineeringPart Time Fun Electrical Engineering
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
CertificationsUsually requires a bachelor's degree in electrical engineeringSame certifications may apply, but often less experience needed
Work EnvironmentOffice, labs, or on-site project locationsFlexible, often remote or part-time settings
Industry UsageCommon in engineering firms, manufacturing, tech companiesLess common, often for hobbyists or part-time projects

Full Time Fun Electrical Engineering involves standard full-time roles with consistent hours, requiring relevant degrees and certifications, and working in professional environments. Part Time Fun Electrical Engineering offers flexible hours, often for hobbyists or supplementary work, with similar credentials but less time commitment.

What are some common challenges faced by full time fun electrical engineers, and how can these be addressed?

Full-time electrical engineers often encounter challenges such as managing tight project deadlines, staying current with rapidly evolving technologies, and collaborating with cross-functional teams. To address these, many engineers prioritize effective time management, ongoing professional development, and clear communication with colleagues from different backgrounds. Additionally, leveraging project management tools and participating in team meetings can help ensure that projects stay on track and deliverables are met efficiently.

What is full time fun electrical engineering?

Full Time Fun Electrical Engineering jobs refer to positions in the electrical engineering field that are full-time (typically 40 hours per week) and are designed to offer a dynamic, engaging, and enjoyable work environment. These roles may involve designing, developing, testing, or supervising the manufacturing of electrical equipment, while also emphasizing a positive team culture or innovative projects that make the work experience enjoyable. Employers may promote these jobs as 'fun' to attract candidates who value both professional growth and a lively, collaborative atmosphere.
What are the most commonly searched types of Fun Electrical Engineering jobs in Calgary, AB? The most popular types of Fun Electrical Engineering jobs in Calgary, AB are:
Infographic showing various Full Time Fun Electrical Engineering job openings in Calgary, AB as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Viridien

Calgary, AB • On-site

Full-time

Re-posted 10 days ago


Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.