{"id":2200121,"url":"https://alion.io/job/autodesk-machine-learning-operations-developer-aiml-platfor","title":"Machine Learning Operations Developer, AI/ML Platfor","company":{"id":81,"name":"Autodesk","domain":"autodesk.com","url":"https://alion.io/company/autodesk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":236,"ghost_share":0,"stale_share":0,"repost_share":0.013,"time_to_fill_p50_days":29,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","Montreal, Canada","Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":99000,"max":145200,"currency":"CAD","period":"year","gross":null,"usd_annual":101735},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Ansible","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Git","optional":true},{"name":"Jira","optional":true},{"name":"PyTorch","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-09T21:06:21Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T09:01:52Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Requisition ID #\n26WD101494Machine Learning Operations Developer, Inference, AI/ML Platform\nL'affichage de poste en français suivra / The French job posting follows\nPosition Overview\nAutodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform used in the development of machine learning and generative AI solutions powering Autodesk’s suite of products and services. You will collaborate with research and product engineering teams from various domains including design, construction, manufacturing, and media & entertainment to support platform operations.\nThe role is hybrid Toronto or Montreal.\nResponsibilities\nContribute to the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices\nDevelop and maintain automated deployment pipelines for machine learning models, supporting seamless transitions from development to production\nCollaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing\nHelp develop and maintain monitoring and logging systems to track model performance, system health, and overall platform efficiency\nWork closely with data developers to ensure efficient data pipelines for model training and validation\nImplement version control systems for machine learning models and contribute to model governance practices\nContribute to the implementation of robust model governance practices, version control systems, and adherence to compliance standards. Support data privacy and ethical considerations, fostering trust in our AI/ML solutions\nImplement security best practices and compliance standards in all aspects of MLOps, ensuring data privacy and platform security\nIdentify opportunities for process automation and optimization, and implement strategies to enhance the overall MLOps lifecycle\nParticipate in identifying and resolving operational issues, contributing to incident response and system recovery\nMinimum Qualifications\nBS or MS in Computer Science, or related field\n2+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments\nExperience implementing Infrastructure as Code practices using tools such as Terraform or Ansible\nExperience with containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads\nExperience setting up and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects\nExperience scripting in Python, Bash, or similar languages for automating operational processes\nFamiliarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance\nUnderstanding of security best practices in MLOps, including data encryption, access controls, and compliance standards\nExcellent collaboration and communication skills, working effectively with cross-functional teams including data developers, software developers, and researchers\nAbility to troubleshoot and resolve operational issues in a timely manner\nPreferred Qualifications\nExperience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure\nFamiliarity with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes\nExposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes\nPrevious experience with collaboration tools like Git for version control and Jira for project management\nFamiliarity with Agile development methodologies and working in an iterative, collaborative environment\n______________________________________________________________________\nDéveloppeur MLOps (Machine Learning Operations), Inférence, Plateforme IA/ML\nAperçu du poste\nAutodesk, chef de file mondial dans le domaine des logiciels de conception 3D, d’ingénierie, de fabrication et de divertissement, est à la recherche d’un développeur MLOps pour se joindre à notre équipe de la plateforme IA/ML.\nCe poste contribuera à assurer la mise en œuvre sans heurts des modèles d’apprentissage automatique ainsi que l’efficacité globale de notre plateforme d’IA/ML de nouvelle génération, utilisée dans le développement de solutions d’apprentissage automatique et d’IA générative qui alimentent la suite de produits et de services d’Autodesk. Vous collaborerez avec les équipes de recherche et d’ingénierie de produit issues de divers domaines, notamment la conception, la construction, la fabrication, ainsi que les médias et le divertissement, afin de soutenir les opérations de la plateforme.\nCe poste est hybride (Toronto ou Montréal).\nResponsabilités\nContribuer à l’excellence opérationnelle de notre plateforme d’IA/ML en mettant en œuvre et en optimisant les pratiques MLOps\nDévelopper et maintenir des pipelines de déploiement automatisés pour les modèles d’apprentissage automatique, afin de faciliter une transition sans heurts du développement à la production\nCollaborer avec des équipes interfonctionnelles pour concevoir, mettre en œuvre et maintenir une infrastructure évolutive pour l’entraînement des modèles, l’inférence et le traitement des données\nContribuer à l’élaboration et à la maintenance de systèmes de surveillance et de journalisation afin de suivre la performance des modèles, l’état du système et l’efficacité globale de la plateforme\nTravailler en étroite collaboration avec les développeurs de données pour garantir l’efficacité des pipelines de données destinés à l’entraînement et à la validation des modèles\nMettre en œuvre des systèmes de contrôle de version pour les modèles d’apprentissage automatique et contribuer aux pratiques de gouvernance des modèles\nContribuer à la mise en œuvre de pratiques rigoureuses de gouvernance des modèles, de systèmes de contrôle de version et au respect des normes de conformité. Soutenir la protection des données et les considérations éthiques, afin de renforcer la confiance dans nos solutions d’IA et d’apprentissage automatique\nMettre en œuvre les meilleures pratiques de sécurité et les normes de conformité dans tous les aspects du MLOps, en garantissant la confidentialité des données et la sécurité de la plateforme\nIdentifier les possibilités d’automatisation et d’optimisation des processus, et mettre en œuvre des stratégies visant à améliorer l’ensemble du cycle de vie du MLOps\nParticiper à l’identification et à la résolution des problèmes opérationnels, en contribuant à la gestion des incidents et à la reprise des systèmes\nQualifications Minimales\nBaccalauréat ou maîtrise en informatique ou dans un domaine connexe\nAu moins deux ans d’expérience pratique en DevOps et MLOps, avec un accent sur le déploiement et la gestion de modèles d’apprentissage automatique dans des environnements de production\nExpérience de la mise en œuvre de pratiques d’« infrastructure en tant que code » (Infrastructure as Code) à l’aide d’outils tels que Terraform ou Ansible\nExpérience des technologies de conteneurisation (Docker, Kubernetes) pour l’orchestration et la mise à l’échelle des charges de travail d’apprentissage automatique\nExpérience dans la mise en place et la maintenance de pipelines d’intégration continue et de déploiement continu (CI/CD) pour des projets d’apprentissage automatique\nExpérience en création de scripts en Python, Bash ou dans des langages similaires pour l’automatisation des processus opérationnels\nConnaissance des outils de surveillance et de journalisation (p. ex. Prometheus, Grafana, ELK Stack) pour le suivi de la performance des systèmes et des modèles\nCompréhension des pratiques exemplaires en matière de sécurité dans le domaine des MLOps, y compris le chiffrement des données, les contrôles d’accès et les normes de conformité\nExcellentes aptitudes à la collaboration et à la communication, capacité à travailler efficacement au sein d’équipes interfonctionnelles comprenant des développeurs de données, des développeurs de logiciels et des chercheurs\nCapacité à diagnostiquer et à résoudre les problèmes opérationnels en temps opportun\nQualifications Souhaitées\nExpérience avec les plateformes en nuage, en particulier AWS ou Azure, pour le déploiement et la gestion d’infrastructures d’apprentissage automatique\nConnaissance des bases de données et des solutions de stockage de données couramment utilisées en MLOps, telles que SQL, NoSQL ou les lacs de données\nConnaissance des frameworks d’apprentissage automatique courants (TensorFlow, PyTorch) et de leur intégration dans les processus MLOps\nExpérience préalable avec des outils de collaboration tels que Git pour le contrôle de version et Jira pour la gestion de projet\nConnaissance des méthodologies de développement Agile et capacité à travailler dans un environnement itératif et collaboratif\nLearn More\nAbout Autodesk\nWelcome 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.\nWe take great pride in our culture here at Autodesk - it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.\nWhen you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!\nSalary transparency\nSalary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $99,000 and $145,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Belonging\nWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging\nIn-Person Onboarding and Identity Verification\nThis role may require in-person onboarding and/or in-person ID verification.","description_format":"text","description_chars":10545,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"high_school","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["CAD, PLM & BIM Software","Construction Management Software"],"lifecycle":[{"event":"open","at":"2026-10-09T21:06:21Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"evidence":"Positions approved through LMIA in 12 months: 27","filings_12m":27,"filings_prev_12m":120,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"High Wage; Global Talent Stream","cap_exempt":false,"checked_at":"2026-10-03T21:10:52+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":20}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":29,"reasons":["conf:3","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":101735,"is_top_pay":false},"html_url":"https://alion.io/job/autodesk-machine-learning-operations-developer-aiml-platfor","json_url":"https://alion.io/job/autodesk-machine-learning-operations-developer-aiml-platfor.json","meta":{"generated_at":"2026-10-12T12:40:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19738,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":81},"rest":"https://alion.io/mcp/rest/get_company?id=81"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fautodesk-machine-learning-operations-developer-aiml-platfor"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fautodesk-machine-learning-operations-developer-aiml-platfor"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fautodesk-machine-learning-operations-developer-aiml-platfor"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/autodesk-machine-learning-operations-developer-aiml-platfor\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fautodesk-machine-learning-operations-developer-aiml-platfor"}]}