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Internship Python Mechanical Engineering Jobs in Edmonton, AB

... Mechanical Engineering, Electrical Engineering, or equivalent program * You will complete at least one more semester of education following your internship and possess a GPA of 3.0 or higher

If you're passionate about applying your optical engineering expertise to meaningful, real-world ... Collaborate cross-functionally with mechanical, electronics, software, and systems engineers to ...

If you're passionate about applying your optical engineering expertise to meaningful, real-world ... Collaborate cross-functionally with mechanical, electronics, software, and systems engineers to ...

We Are Canem Systems Canem Systems is a leading full-service electrical and mechanical contractor ... Our internships and Co-ops are designed to provide you with a business relevant project that will ...

Internship Python Mechanical Engineering information

What are Internship Python Mechanical Engineering positions?

Internship Python Mechanical Engineering positions are temporary roles for students or recent graduates in mechanical engineering, where they gain practical experience by applying Python programming to engineering problems. These internships typically involve tasks such as data analysis, automation, simulation, and modeling using Python. Interns work under the supervision of experienced engineers and may contribute to ongoing projects, helping them develop both technical and professional skills. These positions are valuable for building resumes and exploring career paths in industries that combine mechanical engineering with programming.

What are the key skills and qualifications needed to thrive as an Internship Python Mechanical Engineering, and why are they important?

To thrive in an Internship Python Mechanical Engineering role, you typically need a foundation in mechanical engineering principles, a working knowledge of Python programming, and current enrollment in or recent graduation from an engineering program. Familiarity with CAD software, simulation tools like ANSYS or SolidWorks, and data analysis libraries in Python (such as NumPy and Matplotlib) is often required. Strong problem-solving abilities, effective communication, and teamwork skills help you stand out in collaborative and project-driven environments. These competencies ensure you can contribute to technical projects, analyze engineering data, and support innovation within multidisciplinary teams.

What is the difference between Internship Python Mechanical Engineering vs Mechanical Engineering Intern?

AspectInternship Python Mechanical EngineeringMechanical Engineering Intern
Required CredentialsBasic programming skills, knowledge of Python, relevant courseworkMechanical engineering coursework, basic technical skills
Work EnvironmentSoftware development, data analysis, simulation projectsDesign labs, manufacturing settings, testing environments
Industry UsageTech companies, engineering firms with software componentsManufacturing, automotive, aerospace industries
Common Search/ComparisonFocus on programming and software skills in mechanical projectsFocus on traditional mechanical engineering tasks

The Internship Python Mechanical Engineering typically emphasizes programming skills in Python applied to mechanical projects, often within software or tech-driven environments. In contrast, a Mechanical Engineering Intern focuses on traditional mechanical design, testing, and manufacturing tasks. Both roles are valuable in engineering fields but differ in skill requirements and work settings.

What types of projects do interns typically work on during a Python Mechanical Engineering internship?

During a Python Mechanical Engineering internship, interns are often assigned to projects that integrate programming skills with mechanical engineering concepts. Typical tasks may include automating data analysis from experiments, developing scripts to optimize simulation processes, or creating tools for design validation. Interns usually collaborate closely with engineers and data analysts, gaining exposure to real-world engineering problems and the opportunity to contribute meaningfully to ongoing projects. This hands-on experience helps interns build both technical and teamwork skills that are valuable for a future career in the field.
Google DialogFlow Engineer (Python)

Google DialogFlow Engineer (Python)

Miratech

Edmonton, AB • On-site, Remote

Full-time

Medical

Posted 17 days ago


Job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across  5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities.

Responsibilities:

  • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI,  and Dialogflow CX.
  • Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
  • Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
  • Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
  • Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
  • Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
  • Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
  • Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.
Qualifications
  • 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework.
  • Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI.
  • Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities.
  • Solid understanding of Google as a Software-as-a-Service platform.
  • Proven troubleshooting and analytical skills in complex, distributed environments.
  • Familiarity with SQL and experience working with relational databases.
  • Experience integrating web services into applications.
  • Proficient in Agile and Scrum development methodologies.
  • Bachelor’s degree in a technology-related field or equivalent experience.

Nice to have:

  • Experience with programming languages such as JavaScript, Python, or Node.js.
  • Familiarity with automated testing practices.

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. 
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work. 
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. 
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. 
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
  • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. 

*Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.