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Machine Learning Engineer Part Time Jobs in Manitoba

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana is actively seeking Part-Time Sales Associates who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana is actively seeking Part-Time Sales Associates who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana is actively seeking Part-Time Shift Leaders, who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Overview Canna Cabana is actively seeking Part-Time Shift Leaders, who are knowledgeable ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible ... Significant opportunity for growth, experience and learning * Unlimited bonus earning potential ...

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Machine Learning Engineer Part Time information

How do part-time Machine Learning Engineers typically balance project ownership with limited working hours?

Part-time Machine Learning Engineers often focus on well-defined project segments, collaborating closely with full-time team members to ensure alignment and continuity. Clear communication, thorough documentation, and regular check-ins are key to maintaining progress and integrating their contributions seamlessly. While they may not own entire projects, they often take responsibility for specific modules, models, or experiments, and their schedules are usually coordinated to overlap with team meetings or sprints. This structure allows part-time engineers to add significant value while maintaining a manageable workload.

What is the difference between Machine Learning Engineer Part Time vs Data Scientist Part Time?

AspectMachine Learning Engineer Part TimeData Scientist Part Time
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labs; project-basedBusiness, finance, healthcare; data analysis and reporting
Employer & Industry UsageTech firms, AI startups, R&D departmentsCorporate sectors, consulting firms, research institutions

Machine Learning Engineer Part Time focuses on developing and deploying ML models, while Data Scientist Part Time emphasizes analyzing data to extract insights. Both roles often require similar educational backgrounds and may work in overlapping industries, but their core responsibilities differ. Understanding these distinctions helps job seekers target the right position based on their skills and career goals.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Part Time, and why are they important?

To thrive as a Machine Learning Engineer Part Time, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and ideally a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud platforms, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, adaptability, and clear communication are valuable soft skills for collaborating on projects and conveying technical concepts. These skills ensure effective development, deployment, and optimization of machine learning models within the constraints of a part-time role.

What is a Machine Learning Engineer (Part Time)?

A Machine Learning Engineer (Part Time) is a professional who designs, builds, and implements machine learning models and algorithms, but works fewer hours than a full-time employee—often on a flexible or project-based schedule. These engineers collaborate with data scientists and software developers to integrate intelligent systems into products or services. Part-time roles are ideal for those seeking work-life balance, students, or professionals supplementing their income. Responsibilities may include data preprocessing, model training, and deployment, but the scope is typically tailored to fit part-time hours.
What cities in Manitoba are hiring for Machine Learning Engineer Part Time jobs? Cities in Manitoba with the most Machine Learning Engineer Part Time job openings:

Part-time

Medical

Posted 5 days ago


Job description

Canna Cabana is actively seeking Part-Time Shift Leaders who are knowledgeable, responsible, hardworking, dedicated, and mature individuals interested in joining our team. Join us and become an important part of a company where the sky is the limit.


  • Take the initiative: recruit, coach, and train top talent in an emerging new industry to ensure your team educates and informs their customers.
  • Live the culture: be the industry leader in delivering a knowledgeable, genuine, and exceptional customer experience.
  • Have an eye for detail: make sure the store is inviting, spotless, and well merchandised.
  • Share your passion: as the resident expert and enthusiast on our products, you ensure excellent staff training and development.
  • Build the brand: create a welcoming environment for customers and make a positive impact engaging with the communities in which we work.
  • Make it happen: use your problem-solving and collaborative approach to achieve the (seemingly) impossible.
  • Aspire for operational excellence: Develop and implement processes and procedures, oversee inventory, provide feedback on product trends and customer needs, maintain corporate visual merchandising standards, as well as assist with audits and SLGA requirements.

  • Must already have, or be able to quickly obtain, Smart Choices Cannabis certification
  • Must provide a copy of clean Criminal Background Check prior to start date.
  • Demonstrated leadership skills and at least 1- 2 years’ retail supervisory experience
  • A valid First Aid certification is considered an asset
  • Experience working with similar brands/products (not necessary, but an asset)
  • Ability to work nights, holidays and weekends and different locations.
  • Ability to develop and train staff through positive coaching and feedback
  • Strong organization and problem-solving skills
  • Excellent written and oral communication skills
  • Flexible schedule (weekdays, weekends and evenings)
  • A passion for customer service excellence

And these qualifications:

  • MS Office suite
  • POS expertise
  • Post-secondary education in a related field
  • Demonstrated abilities in visual planning and merchandising

Job Types: Part-time, Permanent

Why You Should Apply:

  • The opportunity to work for a growing company that is positioned to become a globally recognized brand in the cannabis industry.
  • Significant opportunity for growth, experience and learning
  • Unlimited bonus earning potential

Additional points: The job posting reflects the general details considered necessary to describe the principal functions and duties as required for proper evaluation of the job. There may be additional duties, responsibilities, and qualifications for this job.

We thank all applicants in advance for their interest; however, only those selected for an interview will be contacted.

To get your Smart Choices Licence please visit - https://smartchoicesmb.ca/products/cannabis-retail-certification


High Tide Inc. is the leading community-grown, retail-forward cannabis enterprise engineered to unleash the full value of the world’s most powerful plant and is the second-largest cannabis retailer globally by store count. High Tide (HITI) is uniquely-built around the cannabis consumer, with wholly-diversified and fully-integrated operations across all components of cannabis, including:

  • Bricks & Mortar Retail: Canna Cabana™ is the largest cannabis retail chain in Canada, with 200+ current locations spanning British Columbia, Alberta, Saskatchewan, Manitoba, Ontario and growing. In 2021, Canna Cabana became the first cannabis discount club retailer in the world.
  • Retail Innovation: Fastendr™ is a unique and fully automated technology that employs retail kiosks to facilitate a better buying experience through browsing, ordering and pickup.
  • Consumption Accessories: High Tide operates a suite of leading accessory e-commerce platforms across the world, including Grasscity.com, Smokecartel.com, Dailyhighclub.com, and Dankstop.com.
  • E-commerce Platforms: High Tide operates a suite of leading accessory sites across the world, including Grasscity.com, Smokecartel.com, Dailyhighclub.com, and Dankstop.com.

CBD: High Tide continues to cultivate the possibilities of consumer CBD through Nuleafnaturals.com, FABCBD.com, blessedcbd.de and blessedcbd.co.uk.

Wholesale Distribution: High Tide keeps that cannabis category stocked with wholesale solutions via Valiant™.

Licensing: High Tide continues to push cannabis culture forward through fresh partnerships and license agreements under the Famous Brandz™ name.

High Tide consistently moves ahead of the currents, having been named one of Canada’s Top Growing Companies in 2021, 2022, 2023 and 2024 by the Globe and Mail’s Report on Business Magazine, and was named as one of the top 10 performing diversified industries stocks in both 2022 and 2024 TSX Venture 50. High Tide was also ranked number one in the retail category on the Financial Times list of Americas’ Fastest Growing Companies for 2024.

To discover the full impact of High Tide, visit www.hightideinc.com. For investment performance, don’t miss the High Tide profile pages on SEDAR+ and EDGAR.