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Senior MLOps Developer at Autodesk

Job in Richmond, BC, B7A, Canada
Listing for: Socket.dev
Full Time position
Listed on 2026-08-13
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, SRE/Site Reliability, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Join Autodesk as a Senior Machine Learning Operations Developer to optimize our AI/ML Platform. Leverage your MLOps expertise and contribute to advanced machine learning solutions.

As a pivotal member of the AI/ML Platform team, you will drive operational excellence by implementing best practices in MLOps. Collaborating with cross-functional teams, you will help build scalable infrastructure necessary for model training and deployment.

Your role focuses on enhancing system performance and ensuring data security and compliance throughout the MLOps lifecycle.

Key Responsibilities:

• Implement and optimize MLOps practices for platform efficiency

• Design automated deployment pipelines for machine learning models

• Collaborate on scalable infrastructure for training and inference

• Develop monitoring and logging systems to track performance

• Tackle operational problems and contribute to incident response

Requirements:

• BS or MS in Computer Science or related field

• 5+ years in Dev Ops and MLOps for machine learning

• Proficient in Terraform, Ansible, Docker, and Kubernetes

• Strong scripting abilities in Python or Bash

• Experience with CI/CD pipelines and monitoring tools

Utilize your MLOps skills to enhance Autodesk's innovative AI/ML solutions.
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Position Requirements
10+ Years work experience
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