Machine Learning Operations Developer - AI/ML Platform

Autodesk; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Operations Developer, where you'll be instrumental in operationalizing cutting-edge AI/ML models across diverse industries. This role emphasizes innovation and collaboration, as you design and optimize deployment pipelines, ensuring robust infrastructure for model training and data processing. You'll work with a talented team to implement best practices in MLOps while contributing to compliance and security standards. If you're passionate about shaping the future of design and manufacturing technologies, this opportunity offers a dynamic environment where your skills will thrive.

Qualifications

• 5+ years of experience in DevOps and MLOps with ML models in production.
• Proficiency in Infrastructure as Code tools like Terraform or Ansible.

Responsibilities

• Drive operational excellence of the AI/ML platform by optimizing MLOps practices.
• Design and implement automated deployment pipelines for machine learning models.

Skills

DevOps

MLOps

Python

Bash

Collaboration

Troubleshooting

Education

BSc in Computer Science

MSc in Computer Science

Tools

Terraform

Ansible

Docker

Kubernetes

Prometheus

Grafana

ELK Stack

AWS

Azure

Git

Jira

Job description

Machine Learning Operations Developer - AI/ML Platform

Join to apply for the Machine Learning Operations Developer - AI/ML Platform role at Autodesk

Position Overview

Autodesk is seeking a skilled MLOps Engineer to join our AI/ML Platform team. This role is crucial for operationalizing machine learning models and enhancing the efficiency of our next-generation AI/ML platform used across various domains including design, construction, manufacturing, and media & entertainment.

Responsibilities

• Drive operational excellence of our AI/ML platform by implementing and optimizing MLOps practices.
• Design and implement automated deployment pipelines for machine learning models.
• Collaborate on designing, implementing, and maintaining scalable infrastructure for model training, inference, and data processing.
• Develop and maintain monitoring and logging systems to track model performance and system health.
• Work closely with data engineers to ensure efficient data pipelines.
• Implement version control systems for models and contribute to governance practices.
• Contribute to compliance, security, and ethical standards in MLOps.
• Identify opportunities for process automation and continuous improvement.
• Participate in troubleshooting and incident response activities.

Minimum Qualifications

• BSc or MSc in Computer Science or related field.
• 5+ years of experience in DevOps and MLOps, with deployment and management of ML models in production.
• Proficiency in Infrastructure as Code tools like Terraform or Ansible.
• Strong expertise in containerization (Docker, Kubernetes).
• Experience with CI/CD pipelines for ML projects.
• Strong scripting skills in Python, Bash, or similar.
• Familiarity with monitoring tools like Prometheus, Grafana, ELK Stack.
• Understanding of security best practices in MLOps.
• Excellent collaboration and communication skills.
• Proven troubleshooting and problem-solving skills.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure).
• Knowledge of databases and data storage solutions used in MLOps.
• Exposure to ML frameworks like TensorFlow, PyTorch.
• Experience with collaboration tools like Git, Jira.
• Familiarity with Agile methodologies.

Autodesk offers a dynamic work environment with a focus on innovation and diversity. Join us to help shape the future of design and manufacturing technologies.