Autodesk
Technology
SeniorMachineLearningOperationsDeveloper,Inference,AI/MLPlatform
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“Senior Machine Learning Operations Developer, Inference, AI/ML Platform at Autodesk. Skills: MLOps, Machine Learning, Inference, AI/ML Platform. Drive operational excellence of AI/ML Platform. Implement and optimize MLOps practices”
Industry & Context.
Troubleshoot complex operational issues
What They're Looking For.
Must Have
BS or MS in Computer Science, 5+ years of hands-on experience in DevOps and MLOps, Proficiency in implementing Infrastructure as Code, Expertise in containerization technologies (Docker, Kubernetes), Demonstrated experience in setting up CI/CD pipelines, Scripting skills in Python, Bash, or similar, Familiarity with monitoring and logging tools, Understanding of security best practices in MLOps, Excellent collaboration and communication skills, Proven ability to troubleshoot complex operational issues
Nice to Have
Experience with AWS or Azure, Familiarity with databases and data storage solutions, Exposure to TensorFlow, PyTorch, Previous experience with Git, Previous experience with Jira, Familiarity with Agile development methodologies
What You'll Do.
Drive operational excellence of AI/ML Platform
Implement and optimize MLOps practices
Design automated deployment pipelines for ML models
Implement automated deployment pipelines
Optimize automated deployment pipelines
Ensure seamless transitions from development to production
Collaborate with cross-functional teams
Design scalable infrastructure for model training
Implement scalable infrastructure for model training
Maintain scalable infrastructure for model training
Design scalable infrastructure for inference
Implement scalable infrastructure for inference
Maintain scalable infrastructure for inference
Design scalable infrastructure for data processing
Implement scalable infrastructure for data processing
Maintain scalable infrastructure for data processing
Develop monitoring systems
Maintain monitoring systems
Develop logging systems
Maintain logging systems
Track model performance
Track platform efficiency
Work closely with data developers
Ensure efficient data pipelines for model training
Ensure efficient data pipelines for model validation
Implement version control systems for ML models
Contribute to model governance practices
Contribute to implementation of robust model governance
Contribute to implementation of version control systems
Contribute to adherence to compliance standards
Uphold ethical considerations
Foster trust in AI/ML solutions
Enforce security best practices
Enforce compliance standards
Ensure platform security
Identify opportunities for process automation
Identify opportunities for process optimization
Implement strategies to enhance MLOps lifecycle
Identify and resolve operational issues
Contribute to incident response
Contribute to system recovery
How You'll Work.
Team & Collaboration
Cross-functional teams; Data developers; Software developers; Researchers
Process & Methodology
Agile development methodologies
Full Job Description
**Job Requisition ID #** 26WD94525 _L 'affichage de poste en français suivra / The French job posting follows._ **26WD94525 Senior Machine Learning Operations Developer, Inference, AI/ML Platform** **Position Overview** Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in 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 from various domains including design, construction, manufacturing, and media & entertainment to to support platform operations. **Responsibilities** * Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices * Design and implement automated deployment pipelines for machine learning models, ensuring seamless transitions from development to production * Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing * Develop and maintain robust monitoring and logging systems to track model performance, system health, and overall platform efficiency * Work closely with data developers to ensure efficient data pipelines for model training and validation * Implement version control systems for machine learning models and contribute to model governance practices * Contribute to the implementation of robust model governance practices, version control systems, and adherence to compliance standards. Uphold data privacy and ethical considerations, fostering trust in our AI/ML solutions * Enforce security best practices and compliance standards in all aspects of MLOps, ensuring data privacy and platform securit * Identify opportu
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