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Machine Learning Teaching Assistant Jobs in Toronto, ON

Data Architect

Toronto, ON ยท Hybrid

CA$120K - CA$150K/yr

Design, build, and validate statistical, predictive, and machine learning models * Develop and ... A lot of our design and development best practices and processes are taught during our courses ...

Artificial Intelligence Student

Concord, ON ยท On-site

CA$20 - CA$22/hr

Develop and Train machine learning models through our specialized AI Video tools Validate and test ... to assist in the initial screening of applications submitted through our Workday system. These ...

AI Engineer

Oakville, ON

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Implement machine learning models and integrate them into software applications* Write clean, well ... Participate in the full software development lifecycle for AI/ML projects* Assist in building data ...

AI Engineer

Toronto, ON

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

AI Engineer

Markham, ON

CA$77K - CA$117K/yr

Familiarity with machine learning lifecycle and experimenttracking tools such as MLflow or Weights ... While these tools assist our teams, our use of AI does not replace human decision making, and all ...

Senior Software Engineer, AI

Toronto, ON ยท On-site

$100 - $145/hr

Implement machine learning models and integrate them into software applications* Write clean, well ... Participate in the full software development lifecycle for AI/ML projects* Assist in building data ...

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

Your work will include building and deploying data pipelines, machine learning, and statistical ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

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Machine Learning Teaching Assistant information

How does a Machine Learning Teaching Assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are Machine Learning Teaching Assistants?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

What are the key skills and qualifications needed to thrive as a Machine Learning Teaching Assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.
What are the most commonly searched types of Machine Learning Teaching jobs in Toronto, ON? The most popular types of Machine Learning Teaching jobs in Toronto, ON are:
What are popular job titles related to Machine Learning Teaching Assistant jobs in Toronto, ON? For Machine Learning Teaching Assistant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Assistant jobs in Toronto, ON look for? The top searched job categories for Machine Learning Teaching Assistant jobs in Toronto, ON are:
Data Architect

Data Architect

Konrad

Toronto, ON โ€ข Hybrid

CA$120K - CA$150K/yr

Other

Medical, Retirement

Re-posted yesterday


Job description

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.

You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.

What You'll Do

  • Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
  • Explore, analyze, and prepare large datasets for modeling and experimentation
  • Design, build, and validate statistical, predictive, and machine learning models
  • Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
  • Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
  • Lead data modernization & migration projects at large enterprises
  • Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
  • Stay current with emerging data science, AI, and machine learning techniques and tools

Qualifications

  • Minimum 5+ years of experience in a data science, machine learning, or solution architect roles
  • Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
  • Solid foundation in statistics, probability, and machine learning techniques
  • Experience designing and managing the build-out of ย cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift)
  • Familiarity with model deployment, monitoring, and lifecycle management
  • Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
  • Experience collaborating with data engineering teams on production-grade solutions
  • Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in
  • Excellent communication and presentation skills
  • Experience working in agile, consulting, or cross-functional environments

Perks and Benefits

  • Comprehensive Health & Wellness Benefits Package
  • Socials, Outings & Retreats
  • Retirement Planning
  • Parental Leave Program
  • Annual tech & travel allowance
  • Culture of Learning & Development
  • Flexible Working Hours
  • Work from Home Flexibility
  • Service Recognition Programs

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant's education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

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