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Associate Machine Learning Jobs in Quebec (NOW HIRING)

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Associate Machine Learning information

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Quebec? The most popular types of Machine Learning jobs in Quebec are:
What cities in Quebec are hiring for Associate Machine Learning jobs? Cities in Quebec with the most Associate Machine Learning job openings:

Caissier(ère) principal(e) (temps partiel)

The Home Depot Canada

Greenfield Park, QC • On-site

Temporary

Posted 11 days ago


Job description

Job Description Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

Position Overview:

The Head Cashier plays an important role supporting the Front End Supervisor in motivating front end associates to follow GET behaviours and provide customers a great shopping experience. The Head Cashier coaches, trains and develops Front End and Lot Associates along with maintaining coverage through scheduling and providing first level of escalation for customer issues.


Key Responsibilities:
Ensures Customer Satisfaction

  • Lead by example in consistently demonstrating GET behaviours and promoting positive associate morale.
  • Ensure sufficient checkouts are available by maintaining lines no longer than one at the register plus two more waiting in line.
  • Walk front end from the customer experience perspective daily, ensuring Grand Opening readiness, ad execution (per Playbook) and flyer readiness.
  • Observe associates and work activity, ensuring appropriate staffing levels to meet business needs.
  • Provide associates with the training, information, tools, coaching, guidance, encouragement and recognition needed to meet expectations and/or take on higher levels of responsibility.


Leading the Front End

  • Communicate goals, priorities, and directions from store leadership to associates.
  • Ensure the parking lot is shoppable and free of debris.
  • Engage back-up cashiers as necessary and assign them to predetermined registers.
  • Operate cash machines and train cashiers accordingly.
  • Assist guards for cash collection.


Maintains Safety and Security

  • Follows all Safety and Loss Prevention policies and procedures.
  • Follows processes on the front-end designed to mitigate shrink and protect assets, ensuring front end associates do the same.


Competencies:

  • Customer Focus
  • Time Management
  • Promotes Teamwork
  • Problem Solving
  • Communicates Effectively


Skills:

  • Interpersonal Skills
  • Cash Handling
  • Leadership Skills
  • Attention to Detail


Direct Manager/Direct Reports:

  • Reports to Department Supervisor


Travel Requirements:

  • No travel requirements


Physical Requirements:

  • Bending, stooping, reaching, twisting, lifting, pushing, pulling, and moving items


Working Conditions:

  • Working within a flexible schedule that may include evening and weekends.
  • Warehouse environment that can be dusty and noisy.
  • Doors are frequently open, causing drafts and interior temperature changes.


Minimum Education:

  • High School Diploma or equivalent


Minimum Years of Work Experience:

  • 1 to 2 years Retail or Cash experience an asset


Minimum Leadership Experience:

  • Minimum 1 year leading people


Certifications:

  • NA


Other Requirements/Assets:

  • NA
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