Autodesk
10,000+ employees
Founded 1982
📱 Media
Architecture • Engineering • Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
Senior Machine Learning Operations Developer – AI/ML Platform
🕒 May 27
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Autodesk
10,000+ employees
Founded 1982
📱 Media
Architecture • Engineering • Media
Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.
📋 Description
• Drive the operational excellence of our AI/ML Platform • Design and implement automated deployment pipelines • Collaborate with teams to maintain scalable infrastructure • Develop and maintain monitoring and logging systems • Work closely with data engineers for efficient data pipelines • Implement version control systems for machine learning models • Contribute to the governance of machine learning models • Enforce security best practices in MLOps • Identify opportunities for process automation • Contribute to incident response and system recovery
🎯 Requirements
• BS or MS in Computer Science, or related field • 5+ years of hands-on experience in DevOps and MLOps • Proficiency in implementing Infrastructure as Code practices • Strong expertise in containerization technologies (Docker, Kubernetes) • Experience in setting up and managing CI/CD pipelines • Strong scripting skills in Python, Bash, or similar languages • Familiarity with monitoring and logging tools • Understanding of security best practices in MLOps • Excellent collaboration and communication skills • Proven ability to troubleshoot and resolve complex operational issues
🏖️ Benefits
• Annual cash bonuses • Comprehensive benefits package
Apply NowSimilar Jobs
🕒 May 27
Senior Machine Learning Engineer on AI Generation Engine team designing and building AI-first products at SandboxAQ. Focus on the end-to-end ML lifecycle from data exploration to model deployment.
🕒 May 16
Machine Learning & Game Tech Architect responsible for integrating AI into gaming. Collaborating with R&D to create innovative gameplay experiences based in Montreal, Canada with remote options.
🗣️🇫🇷 French Required
🕒 May 15
Applied ML Engineer working on AI-driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
🇨🇦 Canada – Remote
💵 $360k - $380k / year
💰 $2M Venture Round on 2020-07
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 May 7
Manager, Machine Learning Engineering at Affirm leading ML projects and mentoring engineers. Designing and implementing advanced ML solutions to drive decisioning and optimize applications.
🇨🇦 Canada – Remote
💵 $178k - $228k / year
💰 Post-IPO Equity on 2021-01
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 Machine Learning Engineer
🕒 May 6
🇨🇦 Canada – Remote
💵 $130k - $150k / year
💰 $240M Private Equity Round on 2021-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
