20 meilleures offres (machine learning, toronto on) (à pourvoir)

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Provincial Store Fixtures Ltd. —Mississauga, ON
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Mechanical Design Engineer Internship
Digital Shovel —Scarborough, ON
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Engineering Lead - AI Workflows
Sanofi EU —Toronto, ON
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Associate, Software Engineer, New Grad Card Expansion
Capital One - CA —Toronto, ON
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Data Scientist III
TD Bank —Toronto, ON
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Senior Manager, CX Data Integration & Performance
TD Bank —Toronto, ON
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Data Scientist III
TD Bank —Toronto, ON
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Sr. Full Stack Data Science Engineer
TD Bank —Toronto, ON
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Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
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Instructor - Machine Learning & Advanced Web Programming

ILAC -
Toronto, ON

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Détails du poste

45 $ de l’heure
Il y a 11 jours

Profil recherché

TensorFlow
Authentification
Node.js
Informatique
CSS
Génie logiciel
Développement Web
Développement à pile complète
Bases de données relationnelles
Ingénierie
Git
Java
Pandas
Express.js
Baccalauréat
Apprentissage automatique
JavaScript
REST
Développement logiciel
Expérience en classe
APIs
Agile
Vue.js
Intelligence artificielle
Affaires
Évaluation de modèle
Compétences en communication
Python
Enseignement
HTML
MySQL

Description complète du poste

Contract Instructor –Introduction to Machine Learning

Location: Toronto, ON (In-Person)
Position Type: Contract

Teaching Schedule: Mondays, 1:30pm- 5:30pm
Contract Dates: September 14 – December 14
Compensation: $45.00 per hour

About the Opportunity

ILAC International College is seeking an industry professional with expertise in software development and artificial intelligence to teach two technology courses. We are looking for someone who is passionate about their field and enjoys sharing their knowledge with the next generation of tech professionals. Whether your background is in software engineering, AI, machine learning, or technology innovation, you'll have the opportunity to bring real-world industry experience into the classroom and help students build practical, job-ready skills.

This contract position involves teaching Introduction to Machine Learning every Monday throughout the term, combining hands-on instruction with real-world examples and industry best practices.

Responsibilities

Deliver engaging, interactive classroom instruction aligned with the approved course syllabi.
Prepare lesson plans, presentations, demonstrations, and learning activities.
Facilitate hands-on programming exercises, labs, and classroom discussions.
Assess student learning through assignments, quizzes, projects, and examinations.
Provide timely and constructive feedback to students.
Monitor attendance, participation, and academic progress.
Maintain accurate student records and submit grades by established deadlines.
Foster an inclusive, supportive, and collaborative learning environment.
Participate in faculty meetings and work collaboratively with Academic Services as required.

What You'll Teach

This course introduces students to one of today's fastest-growing areas of technology by providing a practical foundation in machine learning and artificial intelligence. Rather than focusing exclusively on theory, students learn how machine learning models are built, trained, evaluated, and applied to solve real business problems.

Using Python and industry-standard machine learning libraries, students gain hands-on experience preparing datasets, developing predictive models, and evaluating model performance while learning how organizations leverage AI to make data-driven decisions.

Key learning areas include:

Foundations of Artificial Intelligence and Machine Learning
Supervised and unsupervised learning
Data collection, cleaning, and preprocessing
Feature engineering and dataset preparation
Regression and classification algorithms
Clustering techniques
Model training, validation, and evaluation
Overfitting, bias, variance, and model optimization
Decision Trees, k-Nearest Neighbours, Naïve Bayes, and introductory Neural Networks
Practical implementation using Python, Scikit-learn, Pandas, and Jupyter Notebook
Ethical considerations and responsible AI

Students complete several machine learning projects using real-world datasets, developing practical AI skills that can be applied across business and technology environments.

Qualifications

Bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a related field considered an asset.
Minimum 3 years of industry and/or post-secondary teaching experience.
Strong proficiency in Java programming.
Experience with Python and machine learning frameworks such as Scikit-learn, TensorFlow, or similar tools.
Experience teaching adult learners or international students is considered an asset.
Excellent communication and classroom facilitation skills.
Ability to explain technical concepts in an engaging and accessible manner.

Preferred Experience

Software development experience in an industry setting.
Experience with collaborative software development.
Knowledge of AI and data science applications in business or technology.
Experience developing project-based learning activities.

Contract Instructor – Advanced Web Programming

ILAC International College is seeking an experienced web development professional to teach our Advanced Web Programming course. We are looking for an instructor who is passionate about modern web technologies and enjoys helping students build full-stack web applications using today's leading development frameworks and tools.

This course builds on students' foundational web programming knowledge and focuses on the development of enterprise-level web applications. Students learn to develop modern front-end applications using Vue.js, build server-side applications with Node.js and Express, integrate relational databases, and create secure, API-driven web applications through extensive hands-on projects.

Position Details

Course: Advanced Web Programming
Schedule: Wednesdays, 1:30 p.m. – 5:30 p.m.
Location: Toronto Campus
Employment Type: Contract
Compensation: $45.00 per hour

What You’ll Teach

This project-based course prepares students to design, develop, and deploy modern full-stack web applications. Through a combination of lectures, coding labs, and a capstone project, students strengthen their front-end and back-end development skills while gaining practical experience with client-server architecture, RESTful APIs, authentication, and database integration.

Key Topics

The successful instructor will teach topics including:

Advanced HTML, CSS, and JavaScript concepts
Modern front-end development and Single Page Applications (SPA)
Vue.js fundamentals, components, directives, and routing
Client-server architecture and REST APIs
Node.js and Express.js development
Asynchronous programming, callbacks, and promises
CRUD application development
Authentication and authorization
MySQL database integration using Sequelize
Web application security and data persistence
Full-stack application development using Vue.js, Node.js, and MySQL

Responsibilities

Deliver engaging lectures and facilitate hands-on coding labs.
Guide students through the development of real-world full-stack web applications.
Mentor students throughout a multi-week capstone project from planning through final presentation.
Assess student learning through assignments, projects, and examinations.
Provide timely, constructive feedback that supports student success.
Maintain accurate attendance, grades, and course records.
Collaborate with the Academic Department to ensure high-quality program delivery.

Qualifications

Diploma or degree in Computer Science, Software Engineering, Web Development, or a related field.
Minimum 3 years of professional experience in full-stack web development or software engineering.
Strong experience with:

JavaScript (ES6+)
HTML5 and CSS3
Vue.js
Node.js and Express.js
RESTful APIs
MySQL or other relational databases
Git and modern development workflows

Experience with authentication, authorization, and secure web application development.
Previous teaching, mentoring, corporate training, or technical coaching experience is considered an asset.
Experience building production web applications and working within Agile development environments is highly desirable.

Why Teach at ILAC International College?

At ILAC International College, our instructors are accomplished industry professionals who bring practical experience into the classroom. You'll have the opportunity to mentor aspiring software developers, help students build professional portfolios, and prepare them for careers in today's rapidly evolving technology industry.

If you are passionate about full-stack web development, enjoy sharing your expertise, and are committed to helping students succeed, we encourage you to apply.

ILACIC is an equal opportunity employer and is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility to Ontarians with Disabilities Act. If contacted, please advise should you require accommodation during the hiring process.

#ILACH

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machine learning emplois - toronto on

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