180 E Learning jobs in Canada

Job Description

Job Description

Salary: $30.42

Employment Opportunity

Learning Strategist

Contract Position July 2025 June 2026

About FNTI (First Nations Technical Institute)

Since establishment in 1985, over 4000 students have graduated successfully from FNTI with certificates, diplomas and degrees, granted in partnership with Ontarios Colleges and Universities. An Indigenous post-secondary institution, FNTI offers programs targeted at Indigenous learners across a wide range of post-secondary disciplines including aviation, health, business, and public administration. FNTI delivers programming locally through its main campus in Tyendinaga on Ontarios beautiful Bay of Quinte, as well as in numerous community locations throughout Ontario.

What Youll Do:

The Learning Strategist is responsible for facilitating student success initiatives and retention strategies by providing learning support for students, including students with disabilities or those identified as at-risk or probationary.

The Learning Strategist is to identify and prioritize student needs, provide optimal support for the students through their individual experiences within FNTI setting and provide support and linkages. Incumbent will use their internal and external resources, which is in keeping with our Student Success triage system and consultative model.

Key Activities

• Conducts intake interviews to confirm students disability, to assess impact on academic program, and to determine appropriate level of services and
• Reviews documentation and verifies student eligibility for accommodations, assistive technology, adaptive devices, and/or reduced course loads.
• Develops accommodation plans with students and faculty as required, which are based on functional limitations and areas of strength while maintaining academic integrity of the program of study.
• Provides learning strategy and/or academic coaching supports to students, using a solution-focused and strengths-based approach, taking into consideration the complexity of factors that can exacerbate functional
• Ensures form completion; obtains consents; prepares electronic case
• Prepares Student Success Profiles to accommodate student learning strengths and
• Facilitates completion of student learning plans; recommends learning and study strategies according to individual learning needs, and monitors progress throughout students academic journey.
• Collaborates with program coordinators and faculty who are advising students on support available for developing effective intervention and retention strategies.
• Learning Strategist intervenes and assists students struggling with academic performance as a result of their disability by providing knowledge and additional Student Success Services (Peer tutoring, transfers, career advising, withdrawals)
• Develops and delivers workshops; organizes individual and group activities to help students improve their academic success; develops supporting materials and provides resources.
• Tracks academic progress of students participating in student success programs/workshops by assessing each individual students improvement in their academic standing and retention
• Assists, with annual Summer Transition and orientation
• Develops, implements, and coordinates student retention and success processes and makes recommendations to the Director or team lead based on retention plans and data collection.
• Other duties as required

Who You Are:

Education

• Diploma/Degree in the field of education or working with adults with
• Professional membership and/or accreditation is an

Experience Required

• Minimum 2 years of directly related experience working with persons with
• Recent work experience providing student or client services, preferably in an educational Experience advising clients with learning disabilities preferred.
• Excellent assessment and communication
• Accredited coach training and experience preferred, or membership to relevant professional
• Strong proficiency in Microsoft Excel and related tools.
• Knowledge of ethics and standards of professional
• Demonstrated ability to work effectively in a fast-paced, dynamic environment.
• Experience working in a multidisciplinary team and case
• Understanding of post-secondary demands, social, economic implications for students with
• Demonstrated creative approach to problem-solving, especially in an instructional
• Excellent teaching and communication skills both in 1:1 and small group
• Fluency in Brightspace LMS an asset
• Experience with/lived experience of oppression, racism, homophobia, transphobia and/or ableism and/or personal connection to queer or trans communities of color, including newcomer and disability communities will be an asset

Conditions of Employment:

• Willing and able to travel on occasions as well as work overtime as required.
• Successful candidates must provide a satisfactory CPIC and Vulnerable Sector Check.

Notes:

• All qualified candidates are encouraged to apply, however FNTI provides preference to those applicants with Indigenous ancestry who self-identify.
• Must be legally entitled to work in Canada, specifically Ontario.
• This is a vacant position.
• Compensation: $30.42/hr

Thank you for your interest. Please note only those selected for an interview will be contacted.

remote work

Job Description

Job Description

Salary: $50,812 to $8,500

About Fraser Academy:

Fraser Academy (FA) is an independent school in Kitsilano, Vancouver, BC serving students in Gr. 1-12 with dyslexia and language-based learning differences through day and outreach programs. We serve a gap in the system where approximately 20% of the student population is under-served by mainstream education. The ripple impact of our programming also adds great social value. While our student population has skills and strengths which are in demand in the 21st century, it can also be vulnerable to mental health, substance abuse, higher drop-out rates, and other risks when not supported.

We are proud to be at the forefront of educational practices, providing a learner-centric environment with the most effective research-based methods to optimize personalized learning, cognitive, social and emotional development, and post-secondary opportunities setting our students up for a successful life. For more information please visit us at

Job Summary:

As a member of the Learning Services team and an Orton Gillingham trained educator, you will be involved in creating individualized student learning plans and designing and implementing lessons to build literacy, executive functioning and cognitive processing for students with learning differences such as dyslexia. This role requires someone who can demonstrate excellence in instructional practices and who has a passion for remedial education.

Start Date: August 21, 2025

Position Type: Permanent, Full-time

Reports to: Executive Director, Training & Learning, ATF/OGA

Responsibilities:

• Work 1:1 with students
• Design and implement lessons following tenets of Orton Gillingham and mediated learning
• Create individual student learning plans based on student IEP/profile
• Facilitate individualized instruction of Executive Function curriculum
• Complete regular reports, year plans, and contribute to IEPs
• Supervise groups of children during recess, lunch, and/or after school
• Participate in professional development opportunities
• Integrate fully in school life

Competencies:

• Provide a structured, flexible, enthusiastic learning experience for students
• Thrive in a collaborative, supportive team environment
• Strong organizational and time management skills
• An active commitment to ongoing professional growth
• Exemplary communication (oral and written) and interpersonal skills (students, colleagues, and parents)

Requirements:

• Orton Gillingham Certification
• 4 Year Bachelors Degree
• 2 years experience working with students with learning differences
• English degree an asset

FA offers an exceptional and stimulating environment, along with competitive employment packages. The annual salary for this position falls within the range of 50,812 to 78,500. The final salary will be determined based on experience and education.

To apply, please submit a resume and cover letter directly through the careers page on our school website

Please address the cover to Colleen Chow, Executive Director, Training & Learning, ATF/OGA . Only shortlisted candidates will be contacted. Thank you for your interest. We look forward to hearing from you.

We are committed to building a diverse and inclusive workforce by encouraging applications from all qualified job seekers, including those from traditionally underrepresented communities.

Job Description

Job Description

Company Description

Here’s your opportunity to join a growing company in the rapidly evolving health care sector.  Spectrum Health Care is currently seeking an experienced learning professional to join our team as Learning Designer. The successful candidate will be responsible for designing, developing, implementing and evaluating education programs aligned with business goals and objectives.

With over 40 years of experience delivering innovative home health care and specialized services, Spectrum Health Care is blazing a trail of positive health system change.  If you are a clinical quality and safety leader with a commitment to continuous improvement, we want you on our team. 

Job Description

• Curriculum and course development -  designs and develops structured learning programs aligned with business, academic, and training goals
• Develops learning objectives, course outlines, lesson plans, and instructional materials for a variety of audiences
• Responsible for content creation including interactive e-learning modules, digital learning assets, assessments and multimedia content.
• Manages and administers Spectrum’s learning management system including user enrollment, tracking and reporting and analyzes learning data and feedback to drive continuous improvement
• Stays up to date with emerging trends in instructional design, learning technologies and adult education.
• Responsible for Collaborates and engages with key stakeholders including SMEs, trainers,
• Works with internal and external stakeholders including health care providers, patients and regulatory agencies to promote quality safety and risk management initiatives.

Qualifications

• 3+ years’ experience in the field of Learning/Instructional Design (Virtual Education) in the health care sector
• Post-secondary degree in Health Care, Business, HR, Education or a related field.
• Certificate in Instructional/Learning Design Education Program/Course work
• Strong skills with e-learning authoring software (Articulate 360 Rise and Storyline), creation of SCORM packages and ease with manipulation of Learning Management Systems
• Strong understanding of instructional design models, learning theories, and adult learning principles
• Excellent project management, communication, and collaboration skills.
• Experience with gamification, microlearning, mobile learning, or virtual learning technologies is an asset

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.

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.
**Job Description**
**Role Objective:**
Collaborating with the L&D team and prioritizing patient-centered approaches, you will serve as a _trusted partner and advisor_ to various Takeda businesses and functions. You will be responsible for initiating, developing, deploying, and tracking innovative learning and development programs aligned with the organization's strategies and goals. As part of the Data, Digital, and Technology team, you will help drive digital innovation in training for our commercial field teams and build digital dexterity competencies for the Canadian Enterprise, while enabling future readiness and best-in-class customer experiences. Your contributions will help build a workplace focused innovation and future readiness, while striving for and fostering a culture of continuous growth and lifelong learning. This role requires a strategic thinker who can inspire others, focus on key priorities, and elevate organizational capabilities in line with Takeda's Leadership Behaviors.
The ideal candidate will focus on, but not be limited to, building Digital Enterprise Capabilities, Sales Training for the Future, and Developing Future Readiness.
**Key Accountabilities:**
+ Elevate Enterprise Capabilities: Develop digital dexterity capabilities across the enterprise by utilizing technologies such as MS CoPilot, MS Loop, Power BI, and Power Automate to enhance workforce skills and efficacy in a digital-first environment. These core capabilities include, but are not limited to: Generative AI, Collaboration, Data Literacy, Content Creation and Retrieval and Automation of work
+ Strengthen Future Readiness: Prioritize innovation in Learning and Development to support our field force and evolve how we support our Health Care Providers and patients, ensuring a best-in-class future customer experience.
+ Enable Sales Training of the Future: Innovate _how_ sales training is delivered to increase employee engagement and skill development - Create higher engagement around Digital Dexterity skillsets among field associates ensuring role-relevant use cases. Use new technology (i.e. Digital / AI) to create and deliver the sales training of the future, in an evolving Omni-channel environment.
+ Facilitate Omni-Channel Customer Engagement: Use deep insights in OCE from previous experience and translate these insights into learning programs aimed at building core OCE competencies across Takeda.
+ Support People Leader Development: In partnership with our people and culture business partners, support the delivery of people leader development programming.
+ Integrate Agile Ways of Working: Use previous experience with Agile methodologies to design and deploy training and coaching programs that elevate Agile Working competencies, aimed at improving business excellence processes throughout the organization.
+ Support Cross-Functional Collaboration and Synergy: Develop deep insights about the cross-functional links in the organization and introduce team development opportunities to promote best practice sharing and synergies that create well-orchestrated, high performing teams.
+ Stimulate Growth Mindset: Actively promote and create a culture of development, fostering a growth mindset and promoting continuous improvement for all Takeda employees.
**Skills and Leadership Capabilities:**
**Core Data, Digital & Technology Skills:**
+ Data-driven decision making: Capability to collect, analyze, and interpret data for making informed decisions and driving business outcomes
+ Digital collaboration: Experience working effectively with colleagues in virtual or remote settings, utilizing digital collaboration tools, incl. MS Teams, Loop.
+ Digital fluency: Proficiency in leveraging digital tools, platforms, and technologies (incl. Microsoft Office suite) to communicate with impact and perform tasks efficiently and effectively.
+ Learning and Innovation: Dedication to lead by example through intentional skill development, experimentation and fostering a culture of digital curiosity within the organization.
+ Trust: Understanding of cybersecurity threats and best practices to protect sensitive information and systems.
+ Communication: Excellent digital communication skills, including the ability to convey complex technical information to non-technical stakeholders.
**Preferred Experience and Education:**
+ University degree in a health sciences, business, or related field of study.
+ Minimum of 8 years of experience in the Pharmaceutical Industry
+ Minimum of 5 years of experience in a Learning and Development role, with a proven track record of creating and executing development programs in the Pharmaceutical Industry.
+ Deep knowledge of Adult Learning Principles and a passion for developing people.
+ Experience developing Omnichannel Engagement competencies and training programs.
+ Experience developing content and implementing training using progressive, digital and generative AI learning solutions.
+ Extensive experience employing multi-channel learning platforms and practices (i.e. virtual / hybrid, e-learning, micro-learning).
+ Ability to design and implement learning and business impact measurements.
+ Knowledge of sales and marketing processes, regulations, and Canadian compliance standards / code of conduct in the Pharmaceutical industry.
+ Experience with Veeva Promomats, Veeva (CRM), Success Factors, and edcast (LxP) preferred.
+ Ability to work in an agile manner while prioritizing workload effectively.
+ Project and Change management experience are assets.
+ Mindset of innovation and continuous improvement.
+ Outstanding communication, facilitation, and influencing skills.
+ Strong business acumen and strategic thinker.
+ Bilingualism (English/French) is preferred and prioritized.
**Locations:**
+ Toronto, Canada - Hybrid: Minimum 40% in office?
**Travel Requirements:**
+ Willingness to travel to various meetings, including overnight trips. Some international travel may be required
**Worker Type:**
Employee
**Worker Sub-Type:**
Regular
Takeda Canada encourages applications from all qualified candidates. In accordance with our accommodation policies and applicable provincial accessibility legislation, please advise us if you need accommodation in order to participate in the recruitment process. Any information you provide relating to accommodation will be addressed confidentially.
**Locations**
Toronto, Canada
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time

**Machine Learning Engineer**
Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!
Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at .
**Purpose and Scope:**
As an Information X Machine Learning Engineer, you will play a crucial role in designing, building, and deploying machine learning solutions. Your expertise in statistical & machine learning concepts will be instrumental in enabling data-driven decision-making and outcomes. Working within small agile teams that are focused on delivering value, you will play a pivotal role in building, maintaining, and enhancing our strategic systems across the organisation.
**Essential Job Responsibilities:**
+ Design, develop and implement robust and scalable statistical and machine learning models.
+ ML Pipeline Development: Design, build, and optimize ML pipelines. Ensuring quality, reliability, and scalability.
+ Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.
+ AI/ML Strategy Contribution: Contribute to the organization's AI/ML strategy by identifying opportunities for data-driven insights and improvements.
+ Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.
+ Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, Finance, Development, and support other Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.
+ Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.
+ Leverage your knowledge of ML principles to integrate with existing pipelines and explore new possibilities.
+ Stay-up-to-date on the latest trends and technologies in machine learning.
**Required Qualifications:**
+ Bachelor's degree in math, physics, statistics, economics, computer science, or related field (master's preferred) or equivalent experience
+ 1-3+ years of experience in machine learning and data science with a strong understanding of tools and technologies.
**Preferred Qualifications:**
+ Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains.
+ Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical.
**Benefits:**
+ Medical, Dental and Vision Insurance
+ Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks
+ Country Specific Retirement Savings Plan (401k, RRSP, etc.)
+ Company paid life insurance
+ Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
+ Long Term Incentive Plan for eligible positions
+ Referral bonus program
#LI-TD
Category InformationX
Astellas is committed to equality of opportunity in all aspects of employment.
EOE including Disability/Protected Veterans

Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutions. Apply now to compete at the forefront of generative AI and financial technology!
At Manulife, we offer a uniquely collaborative environment where you will craft, develop, and deploy generative AI applications. These include copilots, summarization tools, conversational agents, and retrieval-augmented generation (RAG) pipelines to support both internal teams and client-facing platforms.
As a Machine Learning Engineer, your role will be crucial in implementing and fine-tuning large language models, integrating them with vector databases, and building scalable RAG systems. Collaborating with financial domain experts, you will understand complex use cases in wealth management, retirement planning, risk analysis, and client servicing. You'll also build and maintain APIs, model serving layers, and secure pipelines to ensure robust deployment and monitoring.
In this ambitious role, you will implement MLOps workflows to manage the full model lifecycle, including versioning, evaluation, and drift detection. Ensuring data privacy, security, compliance (e.g., FINRA, SEC), and responsible AI practices in all model deployments, you will contribute to our world-class standards!
**Required Qualifications**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ 3+ years of experience in machine learning engineering, including experience with production-level deployment.
+ Proficient in Python and experienced with generative AI and machine learning frameworks (e.g., Hugging Face Transformers, LangChain, PyTorch).
+ Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD workflows.
+ Experience building generative AI applications in a financial context (e.g., advisor tools, regulatory automation, portfolio analysis).
+ Deep understanding of LLM fine-tuning, embeddings, and timely optimization.
+ Knowledge of MLOps tools (MLflow, SageMaker, Azure ML) and model monitoring frameworks.
**Preferred Qualifications**
+ Familiarity with enterprise architecture, APIs, and secure software design in regulated environments.
+ Familiarity with timely engineering.
+ Awareness of financial regulations and compliance considerations (e.g., data retention, audibility, explainable).
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

**Job Requisition ID #**
25WD86908
+ **Position Overview** We are seeking a hands-on Engineering Manager to lead our skilled team of software and ML engineers in the design, development, and maintenance of AMP, our next generation _machine learning_ platform. Your management role extends beyond providing technical leadership; you will be a pivotal figure in fostering collaboration with partners and driving platform adoption. Collaborating closely with cross-functional teams including product management, data science, and infrastructure, you will define and execute the AI/ML platform roadmap. Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring alignment with organizational goals and priorities. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget. **Responsibilities**
+ Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
+ Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
+ Provide sound technical guidance and drive crucial technology decisions
+ Actively participate in coding review processes, and problem-solving alongside your team
+ Stay updated with the latest advancements in AI/ML technologies
+ Provide guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems
+ Ensure adherence to best practices in software development, code quality, and security standards
+ Manage project timelines and resource allocation to drive deliverables
+ Foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team
+ Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision **Minimum Qualifications**
+ BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
+ Minimum of 3 years of experience of software engineering, with at least 3 years in a leadership or management role
+ Proven experience leading and mentoring software and ML engineering teams. Ability to inspire, motivate, and guide team members towards achieving project goals
+ Ability to align technical objectives with business goals. Skilled at roadmap development, setting clear objectives, and prioritizing tasks
+ Ability to plan, execute, and deliver projects timely and efficiently allocate resources and managing workload distribution among team members
+ Skilled in identifying potential project risks and developing mitigation strategies
+ Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
+ Ability to design and build scalable, high-performance systems with understanding of cloud services (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
+ Solid understanding of agile software development methodologies and management practices
+ Working knowledge of CI/CD pipelines, automation tools, and practices for _machine learning_ lifecycle management
+ Excellent communication skills to effectively liaise with various stakeholders, including product managers, data scientists, and upper management
+ Ability to foster a collaborative team environment
+ Managers of Professional roles - and/or managers of people that manage Support roles
+ Manages work for medium size team, or multiple small teams and achieves results by directing work through supervisors/team leads and professional employees
+ Typically focused on areas of subject matter expertise within one discipline
+ Keep their teams organized, efficient, effective, productive, and motivated through professional leadership techniques
+ Responsible for managing deliverables against expected results with a timeline that is typically longer than a quarter
+ Focus is more operational, and decisions are typically made within established policies, procedures and objectives **Preferred Qualifications**
+ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, specifically AWS SageMaker or Azure _Machine Learning_
+ Prior experience in building AI/ML platforms
+ Understanding of MLOps principles and practices for effectively managing and automating _machine learning_ workflows, including _model_ versioning, monitoring, and deployment **Ingénieur Manager - Plateforme** IA & ML _Traduction française à suivre !_ **Présentation du poste** Nous recherchons un ingénieur manager pour diriger notre équipe d'ingénieurs logiciels et ML dans la conception, le développement et la maintenance d'AMP, notre plateforme d'apprentissage automatique de nouvelle génération. Votre rôle de manager va au-delà de la direction technique ; vous serez une figure centrale dans la promotion de la collaboration avec les partenaires et l'adoption de la plateforme. En étroite collaboration avec des équipes interfonctionnelles, notamment la gestion des produits, la science des données et l'infrastructure, vous définirez et exécuterez la feuille de route de la plateforme IA/ML. Vos responsabilités comprennent la conduite de la stratégie technique, l'exécution et la livraison de plateformes IA/ML évolutives, en veillant à l'alignement avec les objectifs et les priorités de l'organisation. Ce poste requiert une combinaison d'expertise technique dans les technologies IA/ML, de solides compétences en leadership et une expérience avérée dans la réalisation de projets complexes dans le respect des délais et du budget. **Responsabilités**
+ Diriger et encadrer une équipe d'ingénieurs dans le développement et le déploiement de solutions d'IA/AA
+ Collaborer avec des équipes interfonctionnelles, notamment la gestion des produits, la science des données, les données et l'infrastructure cloud, pour définir et exécuter la feuille de route de la plateforme d'IA/AA
+ Fournir des conseils techniques avisés et prendre des décisions technologiques cruciales
+ Participer activement aux processus de révision du codage et à la résolution de problèmes aux côtés de votre équipe
+ Se tenir au courant des dernières avancées en matière de technologies d'IA/AA
+ Fournir des conseils sur la conception et l'architecture de systèmes d'IA/ML évolutifs, fiables et efficaces
+ Veiller au respect des meilleures pratiques en matière de développement de logiciels, de qualité du code et de normes de sécurité
+ Gérer les délais des projets et l'allocation des ressources pour obtenir des résultats
+ Favoriser une culture d'innovation, d'agilité, de collaboration et d'amélioration continue au sein de l'équipe d'ingénierie
+ Participer activement au processus de recrutement pour attirer et intégrer les meilleurs talents en ingénierie, en veillant à ce que l'équipe possède les compétences et l'expertise nécessaires pour concrétiser la vision de la plateforme IA/AA **Qualifications minimales**
+ Licence/Master en informatique, ingénierie ou dans un domaine connexe. (Master de préférence)
+ Au moins 3 ans d'expérience en génie logiciel, dont au moins 3 ans dans un rôle de direction ou de gestion
+ Expérience avérée dans la direction et l'encadrement d'équipes d'ingénierie en logiciels et en AA Capacité à inspirer, motiver et guider les membres de l'équipe vers la réalisation des objectifs du projet
+ Capacité à aligner les objectifs techniques sur les objectifs commerciaux. Compétences en matière d'élaboration de feuilles de route, de définition d'objectifs clairs et de hiérarchisation des tâches
+ Capacité à planifier, exécuter et livrer des projets en temps voulu et de manière efficace, à allouer des ressources et à gérer la répartition de la charge de travail entre les membres de l'équipe
+ Compétences en matière d'identification des risques potentiels des projets et d'élaboration de stratégies d'atténuation
+ Solide expérience en IA/ML avec une expertise en apprentissage profond, en modélisation statistique et en réseaux neuronaux
+ Capacité à concevoir et à construire des systèmes évolutifs et performants avec une bonne compréhension des services cloud (AWS, GCP, Azure) et des technologies de conteneurisation (Docker, Kubernetes)
+ Solide compréhension des méthodologies de développement logiciel agiles et des pratiques de gestion
+ Connaissance pratique des pipelines CI/CD, des outils d'automatisation et des pratiques de gestion du cycle de vie de l'apprentissage automatique
+ Excellentes compétences en communication pour assurer une liaison efficace avec les différentes parties prenantes, notamment les chefs de produit, les scientifiques des données et la direction générale
+ Capacité à favoriser un environnement d'équipe collaboratif
+ Gestionnaires de Rôles professionnels - et/ou gestionnaires de personnes qui gèrent des Rôles de soutien
+ Gère le travail d'une équipe de taille moyenne ou de plusieurs petites équipes et obtient des résultats en dirigeant le travail par l'intermédiaire de superviseurs/chefs d'équipe et d'employés professionnels
+ Généralement axé sur des domaines d'expertise dans une discipline
+ Garde ses équipes organisées, efficaces, productives et motivées grâce à des techniques de leadership professionnel
+ Responsable de la gestion des livrables par rapport aux résultats attendus avec un calendrier généralement plus long qu'un trimestre
+ L'accent est davantage mis sur les opérations et les décisions sont généralement prises dans le cadre de politiques, de procédures et d'objectifs établis **Qualifications préférées** **ngineer Manager - AI & ML Platform** Connaissance des plateformes cloud telles que AWS, Azure ou Google Cloud Platform, en particulier AWS SageMaker ou Azure _Machine Learning_
+ Expérience préalable dans la création de plateformes d'IA/ML
+ Compréhension des principes et des pratiques MLOps pour gérer et automatiser efficacement les workflows d'apprentissage automatique, y compris le versionnage, la surveillance et le déploiement des modèles
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).

**Job Requisition ID #**
25WD85433
**25WD85433, Développeur en apprentissage automatique**
_French translation to follow!/Traduction française à venir!_
**Aperçu du poste**
Autodesk est à la tête de la transformation de l'industrie AEC, en intégrant la technologie de l'IA dans nos produits. Nous améliorons nos applications avec des capacités cloud-natives, y compris les données à l'échelle, l'edge computing, les solutions basées sur l'IA, et la modélisation et les graphiques 3D avancés. IA, ainsi que la modélisation et le graphisme 3D avancés. Cette innovation Cette innovation concerne nos produits phares - AutoCAD, Revit et Construction Cloud - ainsi que Forma, notre nouveau produit Industry Cloud. Cloud - et Forma, notre nouveau Cloud industriel.
En tant qu'ingénieur en apprentissage automatique au sein de l'équipe AEC Solutions, vous rejoindrez une équipe de technologues pour aider à construire les fondations de la technologie. équipe de technologues pour aider à construire des modèles de base et des outils d'IA générative pour l'industrie AEC. générative pour l'industrie AEC. Vous travaillerez en collaboration pour créer et Vous travaillerez en collaboration pour créer et interpréter des données de conception qui peuvent améliorer les flux de travail de conception et d'ingénierie.
Rapport: Vous serez rattaché(e) au responsable de l'apprentissage automatique au sein de l'unité Architecture, ingénierie et construction (AEC).
Architecture, Engineering, and Construction (AEC) Solutions Team.
Lieu de travail : Nous soutenons le travail hybride et vous travaillez près de nos bureaux de Boston,
Massachusetts ou de Toronto, Canada.
**Responsabilités**
+ Collaborer avec d'autres ingénieurs pour développer des pipelines et des architectures de données évolutives
+ Travailler avec des ensembles de données à grande échelle, y compris des données textuelles et géométriques, pour soutenir le prétraitement, l'augmentation, l'analyse et la compréhension du contenu
+ Vous êtes en charge de la conception et de l'exécution d'expériences de modélisation, de l'évaluation des performances et de l'itération sur la base des résultats obtenus
+ Surveillez, dépannez et optimisez les modèles d'apprentissage automatique pour garantir la précision, l'efficacité et une faible latence
+ Effectuer l'analyse des besoins, travailler avec des membres de l'équipe de différents niveaux et documenter les solutions
+ Communiquer vos résultats par le biais d'analyses de données quantitatives, de visuels qualitatifs et d'aperçus
+ Mettre en œuvre des approches agiles garantissant la flexibilité et la réactivité face à l'évolution des besoins du projet
**Qualifications minimales**
+ Une maîtrise en apprentissage automatique, en intelligence artificielle, en mathématiques, en statistiques, en informatique ou dans un domaine connexe
+ 3 - 5+ années d'expérience en ingénierie de l'apprentissage automatique ou dans un domaine connexe
+ Expertise dans la formation de réseaux neuronaux profonds, tels que les CNN et les Transformers, avec une maîtrise des bibliothèques et des cadres modernes d'apprentissage profond (par exemple, PyTorch, Lightning, Ray)
+ Expérience des LLM et des technologies connexes, y compris les cadres, les modèles d'intégration, les bases de données vectorielles et les systèmes RAG (Retrieval-Augmented Generation)
+ Expérience de la modélisation, de l'architecture et du traitement des données à l'aide de diverses représentations de données, y compris la géométrie 2D/3D
+ Expérience des services en nuage AWS et de SageMaker Studio pour le traitement évolutif des données et le développement de modèles
+ Solide compréhension des algorithmes informatiques fondamentaux et de leurs comportements de mise à l'échelle
+ Excellentes compétences en codage dans des langages procéduraux et orientés vers l'analyse de données (par exemple, Python)
+ Capacité à traduire des concepts théoriques en solutions pratiques et en prototypes de mise en œuvre
+ Solides compétences en matière de documentation du code, des architectures et des expériences
+ Expérience en architecture, ingénierie ou construction
+ Expérience pratique de la préparation des données, de la sélection des hyperparamètres, des techniques d'accélération et des méthodes d'optimisation
+ Expérience de la distribution parallèle d'algorithmes à l'aide de plateformes telles que Spark ou Hadoop
+ Expérience pratique dans le développement d'algorithmes d'apprentissage automatique à grande échelle
**Le candidat idéal**
+ Vous êtes passionné par la résolution de problèmes pour les clients AEC (Architecture, Ingénierie et Construction) en appliquant des techniques d'apprentissage automatique
+ Vous êtes à l'aise pour travailler dans des domaines nouveaux et ambigus où l'apprentissage et l'adaptabilité sont des compétences clés
+ Vous collaborez facilement avec les autres et êtes à l'aise avec un minimum de directives
+ Vous vous efforcez constamment d'apprendre de nouvelles technologies et méthodologies
+ Vous cherchez de nouvelles façons de résoudre des problèmes difficiles
+ Vous n'avez pas peur d'exprimer vos idées et d'échouer rapidement
---
**25WD85433, Machine Learning Developer**
**Position Overview**
Autodesk is leading the transformation of the AEC industry, integrating AI
technology into our products. We're enhancing our applications with cloud-
native capabilities, including data at scale, edge computing, AI-based
solutions, and advanced 3D modeling and graphics. This innovation is
happening across our flagship products-AutoCAD, Revit, and Construction
Cloud-and Forma, our new Industry Cloud.
As a Machine Learning Engineer on the AEC Solutions team, you will join a
team of technologists to help build foundation models and generative AI
tools for the AEC industry. You will work collaboratively to create and
interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston,
Massachusetts or Toronto, Canada offices.
**Responsibilities**
+ Collaborate with other engineers to develop scalable data pipelines and architectures
+ Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
+ Write production-quality code for model training, testing, and deployment.Design and execute model experiments, evaluate performance, and iterate based on findings
+ Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
+ Perform requirements analysis, working with team members of different levels and documenting solutions
+ Communicate your findings through quantitative data analysis and qualitative visuals and insights
+ Implement agile approaches ensuring flexibility and responsiveness toevolving project needs
**Minimum Qualifications**
+ An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
+ 3 - 5+ years of experience in machine learning engineering or a related field
+ Expertise in training deep neural networks, such as CNNs and Transformers, with proficiency in modern deep learning libraries and frameworks (e.g., PyTorch, Lightning, Ray)
+ Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
+ Experience in data modeling, architecture, and processing using various data representations, including 2D/3D geometry
+ Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
+ Strong understanding of fundamental computer science algorithms and their scaling behaviors
+ Excellent coding skills in both procedural and data-analytics-oriented languages (e.g., Python)
+ Ability to translate theoretical concepts into practical solutions and prototype implementations
+ Strong documentation skills for code, architectures, and experiment
+ Background in Architecture, Engineering, or Construction
+ Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
+ Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop
+ Practical experience in developing high scale machine learning algorithms
**The Ideal Candidate**
+ You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
+ You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
+ You easily collaborate with others and are comfortable with minimal direction
+ You are constantly striving to learn new technologies and methodologies
+ You seek new ways to solve hard problems
+ You are unafraid to put your ideas out there and fail fast
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).