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780 E Learning jobs in Canada

Learning Partner

Montréal, Quebec AbbVie

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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at  Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

When choosing your career path, choose to be remarkable.

Job Description

We have an opportunity for a Learning Partner to join our Learning & Development team. In this role, you will provide strategic oversight for all learning events within the therapeutic area, to lead the design and delivery of innovative learning solutions across the organization (brand teams, in-field teams, other key functions), while ensuring excellence in execution and that organizational and learning goals are supported. You will apply a learning consulting approach through the effective application of performance management and ensure that resources are used optimally, analyzing available data sources, and measuring outcomes.

The Learning Partner will thrive in an environment that is evolving with the new multi-channel approaches and technology advancements.

Key responsibilities:

  • Partner with stakeholders to set learning expectations and drive business and organizational success
  • Understand the business unit goals, performance targets, and key results.
  • Collaborate with members of brand, sales and medical teams, and other AbbVie leaders to understand and identify gaps in individual or team performance.
  • Align with stakeholders on learning outcomes and provide blended learning solutions (traditional and digital) to close identified gaps.
  • Design curricula and learner journeys to advance individual or team effectiveness.
  • Design and deliver impactful and engaging workshops in-person and virtually.
  • Partner with stakeholders to design the learner journeys.
  • Establish KPIs and measures, including Kirkpatrick levels 1 to 4.
  • Onboard new hires in your TA by following Learning & Development procedures.
  • Provide feedback to new and existing hires during training and workshops to optimize training and course correct as needed.
  • Maintain in-depth knowledge of market landscape, therapeutic area, and brand strategies.

Measure and evaluate solutions

  • Anticipate future learning needs through the rigorous collection and interpretation of data
  • Collect, analyze, and interpret quantitative and/or qualitative data according to the measurement and evaluation strategy established during the design of the learner journey.
  • Summarize and report learning data to stakeholders to demonstrate how the performance solution impacted business outcomes.
  • Determine and implement refinements of the performance solution based on data results.
  • Blend experiences and formal solutions to achieve the desired outcome
  • Work with internal resources and vendors to identify the best learning solutions, optimizing time and budget.
  • Develop and implement the best blend of solutions based on business needs, gaps, intended outcomes, and design.
  • Incorporate a delivery mechanism (or mechanisms) that allows for effective knowledge acquisition and ample practice opportunities.
  • Use learner-centered methods that create a meaningful, engaging, and relevant experience for learners.
  • Work cross-functionally to develop & deliver learning initiatives.

Strategic thinking

  • As part of the brand team, develop a learning strategic and tactical learning plan in line with brand objectives.
  • Maintain knowledge of roles & responsibilities of different functions.
  • Take an enterprise perspective when designing learning solutions by considering which other departments could use or repurpose the training.
Qualifications

Education and Experience required:

  • Bachelor’s degree in related field (Science, Education, Business)
  • Previous sales or marketing experience preferred.
  • Previous Learning Partner experience preferred.
  • Knowledge of the pharmaceutical sector including the external environment, relevant stakeholders, and customers.
  • Instruction Design Certification and/or professional applications preferred.
  • Strong understanding of adult learning principles.
  • Strong knowledge of traditional and digital learning capabilities.
  • Adept at navigating a complex matrix environment.
  • Strong technical and technology learning agility.
  • Ability to transform complex ideas into easy-to-understand communications.
  • Confidence in coaching and providing feedback.
  • Valid Driver licenses and passport are required.

As this is a head office position, the Learning Partner is expected to be in the office an average of 3 days per week.

Travel: Limited to less than 10%

AbbVie strives to provide a French working environment for its employees in Quebec. Although as part of its francization program has taken all reasonable steps to avoid imposing the following requirement, advanced amount of knowledge of English / Fluency in English  is an essential requirement for the position of Learning Partner  including, but not limited to, for the following reasons:

  1. English speaking employees outside the province of Quebec.
  2. English speaking clients outside the province of Quebec.
  3. Anglophone region outside the province of Quebec.


Additional Information

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.  

US & Puerto Rico only - to learn more, visit  -us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

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Learning Coordinator

Ontario, Ontario Leap Recruitment Partners

Posted 4 days ago

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Job Description

Now Hiring: Learning Coordinator | 6-Month Contract with the possibility for extension

Location: Markham, ON

Role Type: 6-Month Contract | Hybrid (3–4 days onsite)

Pay Rate: $28/hour

Company Summary

Our client is a global leader in insurance and financial services, providing home, auto, business, and lifestyle solutions to millions of Canadians. With a history spanning more than 300 years worldwide, they are recognized for their focus on innovation, sustainability, and customer-first values. Headquartered in Ontario, they are committed to building a brighter, more resilient future for their customers and communities.

About the Role:

We are seeking a Learning Coordinator to support the rollout of high-impact Leadership Training Programs within the Learning & Development team. This is an exciting opportunity for someone who thrives in a fast-paced environment, enjoys coordinating events, and is passionate about creating exceptional learning experiences.

Reporting to the Senior Manager, Learning & Development, you will play a key role in planning, logistics, and program delivery—ensuring every detail is handled seamlessly from start to finish.

Key Responsibilities

  • Coordinate multiple leadership development programs, ensuring a smooth participant journey from registration to completion
  • Manage invitations, scheduling, reminders, and updates using LMS and Outlook
  • Oversee psychometric assessments, training calendars, and post-session surveys
  • Track progress, prepare weekly reports, and ensure communications are accurate and aligned
  • Support in-person sessions, including setup, vendor coordination, and wrap-up logistics
  • Collaborate closely with internal stakeholders, global teams, and external vendors (hotels, food, transportation) to deliver professional and engaging events
  • Insurance or a Finance industry experience is an asset.

What We’re Looking For

  • 3+ years of experience in coordination, project management, or related roles
  • Strong organizational skills with the ability to manage multiple priorities at once
  • Proactive, adaptable, and detail-oriented, with a focus on delivering excellence
  • Strong stakeholder and vendor management abilities
  • Proficiency in Excel, LMS, SharePoint, and digital collaboration tools
  • Post-secondary education in Learning & Development, Event Management, Marketing, Communications, or equivalent experience

Why Join Through Leap Recruitment Partners?

  • Competitive pay: $28/hour, paid biweekly
  • Hybrid role with opportunities for collaboration and professional growth
  • Exposure to a globally recognized organization and its leadership initiatives
  • A supportive recruitment partner dedicated to your success

At Leap we are an Equal Opportunity and Affirmative Action Employer. That means all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Leap will not tolerate any discrimination or harassment based on any of these characteristics. Leap encourages applicants of all ages.

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Training and Development Specialist

Premium Job
Remote Cellnex Telecom

Posted 15 days ago

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Job Description

Full time Permanent

Our growing company is searching for experienced candidates for the position of training & development specialist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.

Responsibilities for training & development specialist

  • Functions as a subject matter expert in at least one line of business and creates and updates training curriculum as needed
  • Create and records, reports and other documentation of training activities
  • Represent the Training team in meetings with business partners, leadership and project teams
  • Function as a performance consultant, collaborating with Process and Operations to perform needs assessment and recommend training solutions
  • Compliance Wire administrator, particularly in course and qualification creation and course follow-up
  • Reviews, updates, and enhances training materials (i.e., reference handbooks, departmental forms, training documentation, ) to ensure effectiveness of training
  • Analyzes course evaluations in order to judge the effectiveness of training sessions and to implement suggestions for improvements
  • Delivers required training programs to internal customers in a classroom setting
  • Mentors Subject Matter Experts regarding training delivery and effectiveness
  • Ability to perform needs assessments, develop training objectives

Qualifications for training & development specialist

  • Ability to facilitate training and speak effectively before both groups and individuals
  • Adaptable and innovative in design and execution of programs, processes and solutions
  • Requires a Bachelors degree in in Human Resources, Organizational Development or a related discipline and ten or more years of progressive professional experience in a Human Resources department
  • Ability to design and develop content for multiple courses across multiple develop methods such as eLearning, Instructor-Led, Virtual Classroom Training, without supervision
  • Strong organizational skills to ensure the right people complete the right training
  • Ability to learn power plant systems, maintenance and operation

Company Details

Cellnex Telecom is a Spanish wireless telecommunications infrastructure and services company. We are Europe’s leading operator of wireless telecommunications infrastructures to empower connectivity for people and territories, driving digitalization in Europe. We were born in 2015 due to a spin-off from the telecommunications division of Abertis Group. At that point, we went public as an independent company under the name Cellnex Telecom. With our main offices in Spain, we have kept growing since then and now operate in 12 European countries to create a pan-European telecommunications infrastructure platform.
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Training & Development Facilitator

Winnipeg, Manitoba St.Amant

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About Us

St.Amant supports over 5,000 people in Manitoba with developmental disabilities, autism and acquired brain injury. We are a not-for-profit organization that offers a wide range of supports for adults, children and their families. Our over 2,000 staff follow a person-centred approach and adapt to the needs of each person and each family. St.Amant is guided by its core values of Collaboration, Hospitality, Excellence and Respect.

Position Summary & Scope of Service:

St.Amant is committed to fostering a culture of diversity, equity, inclusion, and accessibility where everyone is respected, valued, and empowered to bring their authentic selves free from fear of discrimination while celebrating the diverse identities and experiences that enrich our community. We stand firmly against individual and systemic discrimination and racism as per the Canadian Human Rights Act.

Directly accountable to the Manager, Corporate Education, the Training and Development Facilitator creates engaging, accessible, and effective educational opportunities for St.Amant staff, volunteers, and community members. The Training and Development Facilitator is responsible to:

  • Facilitate workshops and learning opportunities
  • Create engaging learning activities and compelling course content
  • Work with subject matter experts and identify target audience's training needs
  • State instructional end goals and create content that matches them
  • Apply instructional and accessible design theories, practice and methods
  • Provide exercises and activities that enhance the learning process
  • Create supporting material/media (audio, video, simulations, role plays, games etc.) for in-person or online platform delivery
  • Develop assessment instruments based on applicable criteria

The Training and Development Facilitator takes an active role in and personal responsibility for continuous learning to promote knowledge and best practices. They are familiar with policies, issues, trends, and practices in the field, as well as with needs, gaps, or opportunities which may improve the lives of persons with disabilities, or which promote social justice, equity, or accessibility.

St.Amant values and promotes volunteerism in the workplace. Volunteers bring optimism and enthusiasm, create positive energy, share diverse perspectives and are an integral part of the work we do. As such and in keeping with the values of our organization, the incumbent to this role is encouraged to actively support, train, mentor, collaborate and invest in volunteer initiatives.

Qualifications:

Educational :

  • Post-secondary training in a related field, such as education, organizational development, social sciences, or equivalent combination of education/work experience
  • Adult Education Certificate or equivalent education is a definite asset
  • Education related to online learning platforms or instructional design is an asset

Professional:

  • Minimum of three years' recent related experience in the area of adult education and organizational development, including experience in program planning and curriculum design and development
  • Demonstrated experience and proficiency group facilitation
  • Knowledge of current adult-learning concepts, training techniques, and program planning and implementation
  • Skill in the utilization of organizational management principles, methods, and techniques
  • Strong working proficiency in course authoring tools such as Articulate Storyline 360, etc. and at least one Learning Management System
  • Strong proficiency in Microsoft Word, Excel, and Powerpoint
  • Ability to write effective copy, instructional text, audio scripts/video scripts
  • Bilingual in French and English is an asset

Personal :

  • Ability to conceptualize and implement innovative and efficient staff development programs as directed
  • Excellent oral and written communication skills
  • Advanced planning and problem solving skills
  • Ability to provide education and training in public forums
  • Ability to establish and maintain effective working relationships within an interdisciplinary team and between program areas
  • Ability to remain objective and constructive when dealing with conflict resolution and process improvement
  • Ability to work independently
  • Commitment to continued professional development
  • Demonstrated ability to manage and support system changes (e.g. work with external consultants; integrate new material into existing programming, etc.)
  • Ability to work under pressure, to meet competing demands and deadlines, and to deal effectively with difficult and sensitive situations
  • Innovative, highly motivated and an energetic team player
  • Ability to adapt readily to changing demands and situations

Duties and Responsibilities:

Program/Service Support :

Consistent with the Mission, Philosophy and Policies of St.Amant and the Principle Functions and Objectives of Corporate Education, the Training and Development Facilitator seeks innovative ways to deliver training to employees. Quality services are evident when professional communication, timeliness, accuracy, ethical awareness/sensitivity, confidentiality are consistently demonstrated as required by legislation and program/service standards.

Duties include:

  • Seeks innovative ways to deliver training to employees such as e-learning, webinars, training videos, electronic books, etc.
  • Develops/revises/maintains presentation and training materials (including design, layout, and content development of in-person and electronic learning opportunities)
  • Facilitates internal Corporate workshops and training opportunities (in-person and remotely)
  • Performs basic administrative functions related to the Learning Management System
  • Completes administrative tasks related to the delivery of workshops as assigned
  • Sets up equipment and supplies for workshops as assigned
  • Provides resource/support for managers/leaders, and other employees that facilitate groups, train employees and/or make presentations as part of their responsibilities
  • Collaborates with subject matter experts in the development of materials
  • Regularly reviews and updates training materials as required to ensure continued relevance/accuracy
  • Consults on initiatives led by others regarding training methodology, design, and rollout
  • Ensures managers/leaders are informed of initiatives available to them and their employees
  • Ensures training and educational material meets corporate goals and objectives, and legislative requirements
  • Provides relevant information, articles, websites, e-books, and references to all staff according to needs
  • Researches and develops information required for projects and initiatives
  • Attends courses and seminars to promote and encourage staff development

The above information is intended to describe the general nature of this position and is not considered to be a complete statement of duties and responsibilities. Additional duties and responsibilities may be assigned provided they are consistent with the qualifications identified and fall within the parameters of this role.

St.Amant is a bilingual organization. Proficiency in both official languages (French/English) would be considered an asset.

St.Amant supports equitable employment practices and promotes an inclusive workforce representative of the people we support including diverse abilities, backgrounds, cultures, and identities. Applicants can request reasonable accommodations in all aspects of the selection and hiring process.

As a condition of employment, successful candidates will be required to provide a satisfactory Criminal Record Check with Vulnerable Sector Screening, Adult Abuse Registry Check, Child Abuse Registry Check and Prior Contact Check.

As a Condition of Employment, new hires must complete a series of Occupational Health checks. This includes the requirement to confirm immunization or immunity of specific communicable diseases. Successful applicants will also be required to provide proof of COVID-19 vaccination prior to start date.

We offer a competitive salary and a comprehensive benefits package that includes: Health & Dental Plans, Life Insurance Plans, Long Term Disability, Employer Paid-Employee Assistance Plan, and Employer-Matched Pension Plan. We also offer access to an on-site gym, professional development training opportunities, and affordable staff parking.

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UTR SC Learning Coordinator, ATS Learning Team

Prince Edward Island, Prince Edward Island Amazon

Posted 21 days ago

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Description
The ATS Sorting Center Learning Coordinator is responsible for leading the day-to-day learning process and staff of an assigned shift within a single Amazon Sorting Center facility. This role requires a deep understanding of sortation processes, safety protocols, and workforce management to ensure efficient, reliable, and safe execution of sorting activities. The Learning Coordinator collaborates with the Sorting Center Site Manager and cross-functional teams to optimize workflows, address operational challenges, and foster a culture of continuous improvement and employee engagement.
ATS is looking for a Learning Coordinator. This position will support Middle Mile expansion by implementing scalable solutions in order to guarantee quality of processes and drive standards adoption.
As Learning Coordinator, you will be responsible for leading onboarding and proficiency programs, driving process standardization and process improvement. You will also perform quality audits and follow up metrics measurement that will drive customer experience and performance improvement within the delivery network.
Key job responsibilities
- Onboard Amazon Associates so that they learn how to operate with Amazon systems and tools;
- Create training material for team and new programs for ATS;
- Lead training sessions and work actively on ATS SC launch;
- Mentor Amazon Leadership in lean principles and drive adoption of standard work processes into the daily work;
- Support network level excellence in six sigma and lean practices through designing and implementing processes, metrics, and the proper usage of systems;
- Lever from Best at Amazon (BAA) practices to support process improvements, best practice sharing, and standardization of the work routine.
Basic Qualifications
- Completed Bachelor's Degree
- Management experience in a manufacturing, production or distribution environment
- Experience leading, teaching and developing people to deliver key organizational goals
- Excellent communication skills, ability to simplify complex topics for broad audiences
- Cross-functional project management experience
- Process improvement experience via Kaizen and use of LEAN tools
- Experience using and communicating performance metrics
- Advanced English
- Candidate must be flexible to work weekends and/or overnight, as needed
- Candidate must have availability to travel up to 25% of the time.
Preferred Qualifications
- Bachelors' Degree in Engineering, Operations or related field as well as a MBA is a plus
- Experience with Learning Management Systems and content development.
- Ability to influence others without having positional authority
- Certifications in Six Sigma and Lean are a plus
- Ability to handle changing priorities and use good judgment in stressful situations
- Ability to Deep Dive and develop innovative ideas for process challenges
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Machine Learning Engineer

Toronto, Ontario TD Bank

Posted 16 days ago

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Job Description

**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
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Machine Learning Engineer

Milton, Nova Scotia Magna International, Inc

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Was wir bieten:

Bei Magna erwartet dich ein spannendes und dynamisches Arbeitsumfeld, in dem du dazu beitragen kannst, marktfhrende Automobiltechnologien zu entwickeln. Wir investieren in unser Personal und bieten ihm die Untersttzung und Ressourcen, die es bentigt, um erfolgreich zu sein. Als Mitglied unseres globalen Teams erwarten dich aufregende und vielfltige Aufgaben sowie ein breites Spektrum an Entwicklungsmglichkeiten. Wir sind nmlich der Meinung, dass dein Karrierepfad genauso individuell sein sollte wie du selbst.

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.

Job Responsibilities:

POSITION SUMMARY:

The Machine Learning Engineer will play a pivotal role in driving innovation and operational efficiency through data-driven solutions leveraging machine learning and artificial intelligence. You will be responsible for designing, developing, and deploying machine learning models that enhance product quality, optimize supply chain logistics, improve predictive maintenance, and support intelligent manufacturing processes. Working closely with cross-functional teams including engineering, IT, and operations, you will leverage large-scale data from manufacturing systems, sensors, and enterprise platforms to build scalable ML solutions. Your work will directly contribute to smarter decision-making, reduced downtime and improving quality.

JOB-SPECIFIC RESPONSIBILITIES:

  • Execute ML / AI projects related to but not limited to the following
    • Advanced Vision Systems
    • Advanced autonomous part picking
    • Equipment performance machine learning and predictive maintenance
    • OEE Improvements
    • Cycle Time Improvements
  • Research and benchmark of new / existing smart factory ML solutions measures at other Magna plants or suppliers
  • Identify how technical solutions apply to operational and business needs
  • Understands and uses computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architectures.
  • Uses exceptional mathematical skills, to perform computations and work with the algorithms involved in AI and Machine learning.
  • Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique
  • Develop and manage cloud-based computing and data management.
  • Understand and work within KPIs, metrics, and other monitoring tools to monitor the operational performance of our factories
  • Develop from-end UI's
  • Report out to Karmax and Magna group level leadership on smart factory solutions initiatives, explaining technical concepts and analysis implications clearly to a wide audience
  • Collaborate closely with IT, operations and engineering to reach operational excellence
  • Manage suppliers and vendors and develop / control project deliverables.
  • Deal with vendors - Excellent verbal and written communication skills are required.
  • Collaborate other Machine learning Engineers within Magna as well as with your Regional Smart Factory Solutions lead
  • Support colleagues in sourcing equipment and technology that improves Karmax's smart factory solutions performance

GENERAL RESPONSIBILITIES:

  • Exceptional organizational, leadership, interpersonal and problem solving skills.
  • Excellent written, verbal communication and presentation skills
  • Proficient with Microsoft Office (Excel, Word, PowerPoint, MS Project and Outlook).
  • Excellent mathematical, analytical and organizational skills
  • Advanced capability in multiple computer programming languages, i.e. TypeScript, Rust, Python, C++ and/or Java
  • Machine Learning and AI modelling
  • Experience with the MQTT protocol
  • Solid understanding of IT and OT networks i.e. EthernetIP, ProfiNet, IO Link
  • Strong experience with relational databases, i.e. SQL Server, MySQL and Oracle. NoSQL databases experience is a plus.
  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
  • Knowledge of common manufacturing systems (ERP, MES, QMS)
  • Familiarity with BI technologies, i.e. Grafana, Microsoft Power BI, AWS Quicksight, Qlikview
  • Prioritize multiple deadlines and tasks.
  • Results oriented

MINIMUM JOB REQUIREMENTS:

  • University Degree in Computer Science, or related field of study which includes Ai and Machine Learning
  • Minimum 3 years related work experience in with minimum 2 years in an Engineering Role.
  • Experience withing the field of manufacturing
  • Proven capability and a sound understanding of engineering principles as applied to the following areas:
    • Machine Learning and AI
    • Advanced capability in multiple computer programming languages
    • Strong experience with relational databases

COMPENSATION PACKAGE AND PERQUISITES:

  • Salary starting at $89,398.40
  • 2 Weeks Vacation after 6 months of employment, 4 Personal Paid Holidays and 2 Floater Days
  • Comprehensive Health Benefits - Including health, dental, vision, and disability coverage to keep you feeling your best
  • Company-matched retirement savings plans (RRSP)
  • On-site subsidized cafeteria that is open for all three shifts

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type:

Regular / Permanent

Group:

Cosma International

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Machine Learning Engineer

Abbotsford, British Columbia Musora Media

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Description

Hi, I am Gabe the Director of Machine Learning and AI at Musora Media Inc.

Imagine using AI to spark creativity, remove barriers, and empower musicians around the world to learn and grow. We’re seeking an ML/AI Engineer with both technical skill and vision to help us create personalized learning tools, automate workflows, and explore groundbreaking ways AI can transform the music learning experience.

Important Notes:

  •  To ensure you’re viewing the most accurate and up-to-date job opportunities, please apply directly through our official website or through our trusted third-party sites (Indeed, Monster, Glassdoor, LinkedIn, Talent.com & Ziprecruiter). 
  • Most new team members typically join in the lower to mid-point of the salary range. We’re committed to fair and equitable compensation and regularly review salaries to ensure they reflect both market conditions and individual growth within the role.

Key Duties & Responsibilities

Model Development & Deployment

  • Design, train, and evaluate machine learning models for a variety of applications, with a focus on recommendation systems and deep learning architectures.
  • Package models for deployment using scalable, reproducible, and maintainable practices (e.g., ML pipelines, containerization).
  • Leverage frameworks such as PyTorch, TensorFlow, and scikit-learn to build performant solutions.
  • Collaborate with product teams to translate business goals into machine learning solutions.

ML Ops and Infrastructure

  • Develop and maintain CI/CD pipelines for ML models, including monitoring, versioning, and rollback strategies.
  • Use cloud platforms (AWS, GCP, Azure) to build and scale ML infrastructure.
  • Integrate models into production services and monitor real-world performance, reliability, and drift.

Data Engineering and Experimentation

  • Collaborate with data engineers to access, clean, and transform data for ML use cases.
  • Design and implement A/B tests and other evaluation strategies to measure model impact.
  • Contribute to internal tooling for reproducibility, tracking, and experiment management.

Collaboration and Continuous Learning

  • Work cross-functionally with product managers, designers, analysts, and software engineers to deliver data-driven features and products.
  • Stay current with advancements in ML and AI, bringing innovative ideas and techniques to the team.
  • Participate in peer reviews, knowledge-sharing sessions, and planning meetings.

Bonus if:

  • You have experience with music production, music education or performance.

Skills, Knowledge and Expertise
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 3+ years of experience in AI/ML engineering, with a strong understanding of deep learning frameworks (TensorFlow, PyTorch, etc.).
  • Proficiency in Python and experience with data processing, training, and deploying models.
  • Hands-on experience with LLMs, recommendation systems, or speech/audio processing.
  • Strong problem-solving skills and ability to work cross-functionally with product and creative teams.
  • Experience deploying AI models into production (cloud services such as AWS, GCP, or Azure).
  • Proficiency in the English language (written and verbal) 
  • Ability to exhibit the Company's Core Values: Empathy, Passion, and Grit (see full description).

Perks to working here (your benefits)
  • Extended Benefits . Health, Prescriptions, Dental, Mental Health Support and Vision Benefits for full-time/permanent positions - we care about our employees and we want to make sure YOU have the benefits you need to stay healthy and well.
  • Paid time off - we understand and value the importance of rest and recovery and that includes time away from work! 
  • Career Growth. You’re joining a growing team and company with ambitious goals. 
  • Learning & Development. We encourage our team to develop their unique strengths, offering Gallup-Clifton Strengths coaching and workshops, along with tailored education opportunities. 
  • Onsite Amenities and Events . Onsite parking, on-site gym, and events! Be a part of a fun-loving team!
  • Onsite SNACKS & Meals , lunch program, beer/kombucha fridge, coffee/tea and more! We want to make sure you stay fuelled throughout the day! 
  • Casual dress . We want you to feel comfortable when you work. No need to wear a business suit (unless you want to).
  • Hybrid options . Work on-site at our Abbotsford, BC, Canada head office, or in a hybrid arrangement (role-dependent). Hybrid roles require a regular weekly presence in the office.

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Machine Learning Engineer

Vancouver, British Columbia Apera AI Inc

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Job Description

We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we've been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech "Company of the Year – Growth", we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.

Apera AI is hiring a Machine Learning Engineer to build and improve the tools, infrastructure, and pipelines that power our AI model training. This role focuses on enhancing the synthetic data pipeline, automating training evaluations, and developing systems that connect data quality to model performance. You will work closely with technical artists, applied scientists, and simulation developers to deliver scalable, production-grade systems for robust AI deployment.

Employee Value Proposition (EVP)

Purpose
Your work will determine how reliably and accurately our AI models perform in real-world industrial environments. By improving the data they learn from, you will directly influence the precision, speed, and robustness of robotic systems operating on factory floors.

Growth
You will develop deep technical skills across computer vision, machine learning, simulation, and experimentation. You will gain experience connecting training data to model outcomes, applying state-of-the-art techniques, and improving models through systematic iteration and analysis.

Motivators
You will take full ownership of the connection between synthetic data and model performance. Your ideas, experiments, and tools will define how we train production-grade AI models and how we scale to new use cases with confidence and reliability.

Major Objectives

Identify and Advance Opportunities in the Data Generation Pipeline
You will identify opportunities to improve the synthetic data pipeline and deliver a meaningful enhancement that increases dataset quality, control, or scalability. Your contribution will reflect your ability to assess what's missing and act decisively to improve it.

Design, Test, and Validate New Data-Centric ML Techniques
You will propose and implement new data-generation or augmentation techniques based on your own assessment of model bottlenecks, training patterns, or failure modes. You will validate effectiveness through structured training experiments and benchmark results against existing approaches. Your work will contribute a measurable advancement to how Apera trains accurate, generalizable AI models.

Collaborate Across Disciplines to Deliver Data-Driven Improvements
Partner with ML scientists and technical artists to translate visual intuition and ML needs into robust software. Identify gaps in configuration, data realism, and augmentation strategy that impact performance. Ultimately you will deliver generalized improvements to Apera's vision model training process.

Critical Subtasks

  • Design and implement tooling to configure and control synthetic data generation at scale.
  • Design new data generation strategies that introduce variation, realism, or structure to improve model generalization.
  • Run targeted training experiments to measure the impact of your data approaches and guide future improvements.
  • Build internal tools that expose dataset properties, track changes, and help others reason about training inputs.

Culture and Situation Fit

At Apera AI, we value initiative, clarity, and technical depth. This role is for someone who sees data as a core design space in machine learning—not just an input but a lever to drive performance. You'll thrive here if you take ownership of the problems you see, enjoy collaborating across disciplines, and are excited to push the boundaries of how real-world AI systems are trained and deployed.

Required Qualifications

  • Degree in computer science, engineering, applied mathematics, or a related technical field, or equivalent industry experience building ML systems.
  • 5 years post grad experience
  • Strong experience writing and maintaining production-quality code
  • Strong proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Solid understanding of ML training workflows, including dataset preparation, model evaluation, and performance diagnostics.
  • Experience with synthetic data generation, simulation tools, or 3D rendering environments such as Blender or Unity.

Bonus Experience

  • Ability to design, execute, and interpret training experiments to evaluate the impact of data and augmentation strategies.
  • Comfortable working in Linux-based development environments and with Docker-based workflows.
  • Experience with domain randomization, synthetic-to-real transfer, or sim-to-real techniques in robotics or computer vision.
  • Background in computer vision tasks such as object detection, segmentation, or 6-DoF pose estimation.
  • Experience working with cloud-based ML infrastructure.

Why Join Us?

People are our greatest strength. They are friendly, smart, and driven to build amazing products; we tackle challenges as a team, we are close-knit and scrappy. We also offer competitive total compensation, health benefits, and vacation. Our teams are motivated, talented, hardworking, and have an entrepreneurial spirit. We enjoy making large impact, solving challenging problems rooted in real-world physics using science, imagination, creativity, and persistence.

What do we offer?

  1. A chance to make a difference. People are our greatest strength they are friendly, smart, and driven to build amazing products; we tackle challenges as a team, we are close-knit and scrappy. Our teams are motivated, talented, hardworking and have both an intrapreneurial and entrepreneurial spirit. We enjoy making a large impact, solving challenging problems rooted in real-world robotic vision optimization using science, imagination, creativity, and persistence.

  2. Build your skills. Build your career. We don't just promise opportunities. We back them with personalized development plans, annual learning budgets, regular individual and team upskilling, and time dedicated to innovation. Come for the mission, stay to master it.

  3. Equity That Empowers: A Rare Opportunity to Own What You Help Build. At Apera AI, equity isn't just a benefit—it's a belief system grounded in fairness, unity, and shared success. Every Aperian receives a meaningful ownership stake from day one, because those creating value should share in the rewards. While traditional companies reserve equity for a privileged few, we extend it to all employees. We've already gained considerable traction in transforming how manufacturers use AI and robotics. Join a mission-driven team where your ideas matter, your work shapes industries, and your ownership grows with every win. This is your invitation to be part of something rare: a company that shares both purpose and upside.

  4. Straightforward compensation. At Apera AI, we believe that transparency and fairness are key to building a thriving team. For this Machine Learning Engineer role, we offer a competitive base salary range of $100,000 to $130,000 CAD per year.

This range reflects the base salary for a highly qualified candidate. The final offer will depend on a range of factors including your unique skills, experience, contributions to team diversity, and the value you bring to our vision of transforming industrial automation with AI-powered vision systems.

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Learning & Development Manager

Jasper, Alberta FAIRMONT

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Company Description

Experience luxury, adventure, and the great outdoors at Fairmont Jasper Park Lodge-where the stunning Canadian Rockies are your backyard. Take your career to new heights while surrounded by breathtaking landscapes, world-class hospitality, and endless opportunities to explore. This is more than just a job—it’s a chance to live, work, and thrive in a place like no other. Join us and make every day an unforgettable adventure!

Job Description

What you will be doing:

Your role will be dynamic, ranging from facilitating recurring training sessions to creating an annual learning program. You are a team of one, so must be comfortable getting your hands dirty and handling all parts of the learning cycle – from implementing and executing training, to tracking and organizing training records, to working with leaders to identify training needs across the business. You get to do a little bit of everything in this role! Here are some specifics:

  • Develop and implement comprehensive Learning and Development strategies, programs, and initiatives aligned with the hotel's business objectives and employee development needs.
  • Facilitate a world class onboarding experience for new employees, including iterating the program and experience as required.
  • Design and deliver engaging training sessions, workshops, and seminars on topics such as customer service excellence, leadership development, technical skills, and compliance training.
  • Collaborate with department heads and team leaders to identify learning needs, assess performance gaps, and develop targeted training solutions.
  • Participate in creating an environment of engaged leaders by being an active member of the leadership team. Create strong relationships across the business that allow for coaching and guidance to support both leader and colleague development and engagement
  • Utilize a variety of learning methodologies and technologies to deliver effective and engaging learning experiences, including e-learning modules, on-the-job training, and experiential learning opportunities.
  • Evaluate the effectiveness of training programs through feedback, assessments, and performance metrics, while making continuous improvements to training offerings to enhance learning outcomes.
  • Partner with external training providers, industry organizations, and regional learning and development specialists to source relevant training resources and opportunities for our team members.
  • Act as a mentor and coach to support the professional growth and development of employees at all levels within the organization.
  • Stay abreast of industry trends, best practices, and innovations in learning and development to ensure our programs remain current, relevant, and impactful.
  • Maintain accurate records of leadership training activities and participant information.
Qualifications

Your experience and skills include:

  • Minimum of 2 years’ experience in a leadership role within the hospitality industry, or a similar role in education or training facilitation.
  • University degree in Hotel/Restaurant Management or related discipline a strong asset.
  • Proven track record in needs assessment and facilitation of training programs in driving service excellence results.
  • Demonstrated knowledge of Microsoft Office (Outlook, Microsoft teams, PowerPoint, Publisher, Excel, and Word) required
  • Enthusiastic and positive personality with ability to build strong relationships
  • Sense of urgency and the ability to prioritize will be required
  • Results orientated with the ability to be flexible and to work well under pressure
  • Innovative, creative and willing to take risks and be accountable for successes, near misses and the inevitable, misses!
  • Ability to analyze data and trends and create strategies for improvement

What does your work life balance look like?

  • You get to have an impact every day at a fast-paced, luxury hotel, located in the heart of the Rocky Mountains.
  • You thrive in an environment where Leaders and Colleagues look to you to excite and orient new hires while continually striving to improve the development of existing colleagues.
  • You love waking up every morning in a picturesque outdoor playground consisting of world class skiing and winter activities combined with unmatched hiking, biking, and summer activities.
  • You like a challenge, are optimistic, and set the bar for development by always being open to feedback and bettering yourself.


Additional Information

Job Perks & Benefits:

  • Salary Range: $68,000- $75,000 per annum based on qualifications and experience
  • Subsidized staff accommodation assistance provided 
  • Employee travel program with discounts on room rates as well as on food & beverage at Fairmont & Accor properties world-wide
  • Access to the Mountain Explorer Travel Program – exclusive room rates for colleagues, which includes 50% off all food & beverage when staying at Fairmont Resorts in Banff, Lake Louise & Whistler (subject to availability)
  • Comprehensive wellness platform for employee mental health and wellbeing support
  • Discounts while using our resort’s Food & Beverage Outlets, Fitness Centre, and Fairmont Jasper Park Lodge Golf Course
  • Automatically added to our resort’s Colleague Lifestyle Program which includes access to staff activities and events
  • Opportunity to develop your talent and grow within Fairmont Jasper Park Lodge and over 5,000 properties with Accor
  • One complimentary meal per shift in our staff cafeteria

Apply Today:  Whether you're just launching your career or looking for a new adventure, we invite you to visit  to learn more about Fairmont Jasper Park Lodge and the extraordinary opportunities that exist within our resort!

We encourage you to let us know if you require any accommodations through the application or recruitment process, and we will work with you to meet your needs. Persons who anticipate needing accommodations for any part of the application or interview process may contact, in confidence:  

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