Total 2 job vacancies by Autodesk Canada Co.

The French translation can be found below!/La traduction en Français se trouve plus bas!

Position Overview

The Fusion Machine Learning team is a multi-disciplinary team of engineers and researchers developing AI/ML solutions to some of the biggest problems in 3D design, manufacturing, and mechanical engineering. We are seeking an MLOps/DevOps engineer who is passionate about transforming scaling mature production-ready AI powered applications through optimizing the underlying infrastructure.

You will collaborate with researchers and engineers to continuously improve the data, train and release pipelines by automating repositories to ensure quality and interoperability with deploy systems and upgrading prototype code to run on large cloud-based ML Learning training infrastructure.

You will report to the Fusion Platform ML manager and play a critical role in the Autodesk AI strategy.

You will report to the Sr. Manager, Software Development for ML Research.

Location: The role is located in Canada.

Responsibilities

• Operational Efficiency: Improve the team's efficiency by implementing MLOps and DevOps practices

• Deployment Automation: Adapt research models to automated deployment pipelines

• Scalable Development: Collaborate with engineers and researchers to ensure research code can transition to training and inference at scale

• Monitoring and Logging: Track model performance, system health, and overall platform efficiency

• Version Control and Model Governance: Mature single-version codebases to iterable, pipeline-deployed and version-controlled solutions

• Security, Compliance and Governance: Contribute to the implementation of model governance practices, and enforce company-wide security best practices and compliance standards in all aspects of DevOps and MLOps

• Continuous Improvement: Identify opportunities for process automation, optimization, and implement strategies to enhance the MLOps lifecycle

• Troubleshooting and Incident Response: Help resolve operational issues, contributing to incident response and system recovery

Minimum Qualifications

• Educational Background: BS in Computer Science or related field, or equivalent experience

• Cloud Experience: Experience with cloud platforms, such as AWS or Azure, for deploying and managing machine learning infrastructure

• MLOps / DevOps Experience: 3-5 years of hands-on experience in MLOps / DevOps in a production environment

• Infrastructure as Code (IaC): Proficiency in implementing Infrastructure as Code practices using tools such as Terraform

• Containerization: Expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning applications

• CI/CD: Demonstrated experience setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects

• Scripting and Automation: Scripting skills in Python, Bash, or similar languages for automating operational processes

• Security Awareness: Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards

​Preferred Qualifications:

• Machine Learning Frameworks: Exposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes

• Monitoring Tools: Familiarity / experience with monitoring and logging tools (e.g., Prometheus, Grafana, or ELK Stack) for tracking model and system performance

• Agile Methodology: Familiarity / experience with Agile development methodologies and working in an iterative, collaborative environment

• Database Knowledge: Familiarity / experience with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes

• Repository and Pipeline Technologies: Familiarity / experience with Git, Jenkins, and YAML

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24WD76061 Ingénieur(e) MLOps, équipe Fusion. Canada 

Présentation du poste

L'équipe d'apprentissage automatique de Fusion est une équipe pluridisciplinaire d'ingénieurs et de chercheurs qui développent des solutions d'IA/apprentissage automatique pour résoudre certains des plus importants problèmes de la conception 3D, de la fabrication et de l'ingénierie mécanique. Nous recherchons un ingénieur ou une ingénieure MLOps/DevOps passionné(e) par la transformation de la mise à l'échelle d'applications matures alimentées par l'IA et prêtes à la production, grâce à l'optimisation de l'infrastructure sous-jacente.

Vous collaborerez avec des chercheur(e)s et des ingénieur(e)s pour améliorer en permanence les pipelines de données, de formation et de publication en automatisant les référentiels pour garantir la qualité et l'interopérabilité avec les systèmes de déploiement et en mettant à niveau le code prototype pour l'exécuter sur de grandes infrastructures de formation ML basées sur le nuage.

Vous relèverez le responsable XML de la plate-forme Fusion et vous jouerez un rôle essentiel dans la stratégie d'intelligence artificielle d'Autodesk.

Vous relèverez du (de la) responsable du développement logiciel pour la recherche en apprentissage automatique.

Emplacement : Le rôle est situé au Canada.

Responsabilités

• Efficacité opérationnelle : améliorer l'efficacité de l'équipe en mettant en œuvre les pratiques MLOps et DevOps.

• Automatisation de la répartition : adapter les modèles de recherche aux pipelines de déploiement automatisés

• Développement évolutif : collaborer avec les ingénieurs et les chercheurs pour vous assurer que le code de recherche peut passer à la formation et à l'inférence à grande échelle

• Surveillance et journalisation : effectuer le suivi des performances du modèle, de l'état du système et de l'efficacité globale de la plate-forme

• Contrôle des versions et gouvernance des modèles : mûrir les codes bases en version unique vers des solutions itérables, déployées dans le pipeline et contrôlées par les versions

• Sécurité, conformité et gouvernance : contribuer à la mise en œuvre des pratiques de gouvernance des modèles et appliquer les meilleures pratiques de sécurité et les normes de conformité à l'échelle de l'entreprise dans tous les aspects de DevOps et MLOps.

• Amélioration continue : identifier les possibilités d'automatisation et d'optimisation des processus et de mise en œuvre de stratégies visant à améliorer le cycle de vie des MLOps.

• Dépannage et réponse aux incidents : permettre de résoudre les problèmes opérationnels, contribuant ainsi à la réponse aux incidents et à la récupération du système

Exigences minimales

• Formation : baccalauréat en informatique ou dans un domaine connexe, ou expérience équivalente

• Expérience infonuagique : expérience avec les plates-formes infonuagique, comme AWS ou Azure, pour le déploiement et la gestion d'infrastructures d'apprentissage automatique

• Expérience MLOps/DevOps : entre 3 ans et 5 ans d'expérience pratique dans les MLOps/DevOps dans un environnement de production

• Infrastructure sous forme de code (IaC) : maîtrise de la mise en œuvre des pratiques « Infrastructure as Code » à l'aide d'outils tels que Terraform

• Conteneurisation : expertise dans les technologies de conteneurisation (Docker, Kubernetes) pour l'orchestration et la mise à l'échelle des applications d'apprentissage automatique

• CI/CD : expérience démontrée dans la configuration et la gestion des pipelines d'intégration continue et de déploiement continu (IC/DC) pour les projets d'apprentissage automatique

• Script et automatisation : compétences en matière de script en Python, en Bash ou dans d'autres langages similaires pour automatiser les processus opérationnels

• Reconnaissance de la sécurité : compréhension des meilleures pratiques de sécurité dans les MLOps, notamment le chiffrement des données, les contrôles d'accès et les normes de conformité

​Compétences souhaitées :

• Structures d'apprentissage automatique : exposition aux structures d'apprentissage automatique les plus utilisées (TensorFlow, PyTorch) et leur intégration aux processus MLOps

• Outils de surveillance : familiarité / expérience avec les outils de surveillance et de journalisation (par exemple, Prometheus, Grafana, ou ELK Stack) pour le suivi des performances du modèle et du système.

• Méthodologie agile : familiarisez-vous avec les méthodologies de développement agile et travaillez dans un environnement itératif et collaboratif.

• Connaissance de la banque de données : familiarité/expérience avec les bases de données et les solutions de stockage de données couramment utilisées dans les programmes MLOps, comme SQL, NoSQL ou les lacs de données

• Technologies de référentiel et de pipeline : connaissance/expérience de Git, Jenkins et YAML

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Learn More

About 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!

Salary transparency

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Position Overview

You will join Enterprise Systems and Experience (ESE) which is part of Autodesk's 3500+ person Digital Platform & Experience division. ESE is the crew that helps Autodesk create business and customer success. We are all about improving the productivity of our people across the organization.

As the Collaboration Systems Migration Engineer, you will accelerate and manage the process of system and data migration maximizing the use of our tools, collaborate with across teams, consult on best practice, resolve migration issues, and manage escalations.

You will work with diverse personas across Autodesk including, senior leadership, partners, and technology staff. You will be successful in this role establishing working relationships with our users to ensure efficient, secure, and practical solution to meet system migration needs. You will report to the Collaboration Services Engineering Manager.

Responsibilities

• You will manage migrations/installations/connectivity/configurations. Initiate required programs and protocols ensuring seamless data and system migration & integration

• Follow industry best practices, principles, quality assurance, and new ideas in implementation

• Coordinate vendor software, technical services, and demonstrations

• Ensure appropriate security controls are in place

• Respond to reports of systems/storage failure or diminished performance according to Service Level Agreements. Troubleshoot systems and isolate the source of the failure

• Diagnose issues and initiate appropriate actions for repair to return the infrastructure systems to full operational status if feasible; or if not feasible, initiate appropriate protocols to circumvent the failure or minimize impact. Promptly escalate issues to appropriate vendors or team members. Assume 24x7 on-call duty as assigned

• Perform maintenance or upgrades after hours or on weekends, minimizing impact on businesses and users

• Produce regular performance and capacity summaries and status reports for management

• Create, publish, and update related IT (Information Technology) status communications

• Maintain vendor relationships and oversight to ensure the success of outsourced services and implementations

• Communicate corporate requirements and stay ahead of technology and product enhancements and between teams to resolve issues

• Conduct analysis of functional, divisional, and company-wide systems for migrations.

• Participate in the system/project design and engineering process. Support Project Managers, architects, or other partners during project planning providing subject matter expertise in a specialized area of system/data migration.

• Document requirements and procedures aligned with corporate strategy, operational needs, and future initiatives, including expansions, acquisitions, and reorganizations.

• Follow defined processes, ensure the solutions will support integrated enterprise applications, infrastructure technology, and data.

• Provide timelines, benefit, and risk analysis to project partners for design solutions.

• Decompose complex problems into manageable components, offering succinct solutions for each. Streamline implementation efforts for efficiency.

• Engineer prototypes to validate performance capability and capacity projections.

• Verify component/system performance through vendor demonstrations, best practice resources, or through onsite pilot configuration and testing.

• Manage the implementation of solutions and manage vendors responsible for solution configuration.

• Develop test plans and perform post-installation testing to verify performance. Identify, isolate, and rectify performance issues.

• Document designs, requirements, dashboard metrics, configuration items and related dependencies for systems, networks, monitors, storage and their integration relationships with applications and infrastructure.

• Develop appropriate technical diagramming and interconnectivity with interacting systems.

• Record changes, configurations, incidents, problems, and processes.

• Work with Product Owner and Product Manager/Team to understand and help refine functional requirements for new products or upgrades and have a clear understanding of what definition of "done" is.

• Engage with Product Support and customers to gather usage insights, enhance comprehension of customer concerns, and contribute to future product design.

• Identify and addresses issues before they escalate.

Minimum Qualifications

• Experienced systems migration consultant 2yrs with both Microsoft 365 and Google Workspace (GSuite) environments

• 2+ years of experience as a SharePoint administrator

• Demonstrated experience with migration tools: ShareGate, BitTitan, Microsoft Migration Manager, and Exchange On-Premises remote Hybrid migration

• Experience migrating email, meeting, file storage, and voice systems

• Knowledge of Windows operating systems, SQL Server, Power BI, PowerShell, and bulk change scripting

• Knowledge of SharePoint tools, including ULS Logs, workflows, and SharePoint forms

• Foster a collaborative and constructive atmosphere, exhibiting optimism in challenging situations

• Proficient in coordinating complex schedules and prioritizing tasks

• Understand networking to install multiple pieces of software independently

• Exchange/O365 migrations, mailbox creation/deletion, database migrations, general maintenance

• Migrate from on-prem resources to cloud services, management of cloud resources in AWS, Azure, or other like technologies

• Balances urgency with accuracy, ensuring efficient and accurate task completion

• Familiarity with Identity and Access Management systems, such as Azure or Okta

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About 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!

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).