Machine Learning Operations Developer - AI/ML Platform

Autodesk; Vancouver; On-site; CAD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a skilled MLOps Engineer to enhance their AI/ML Platform team. This pivotal role involves optimizing machine learning operations and ensuring the seamless deployment of models across various sectors, including design and manufacturing. The ideal candidate will leverage their expertise in containerization and Infrastructure as Code to foster innovation and efficiency. Join a dynamic environment that values collaboration and problem-solving, and be part of a team that transforms ideas into reality while shaping the future of technology. If you are passionate about MLOps and ready to make an impact, this opportunity is for you.

Qualifications

• 5+ years of experience in DevOps and MLOps, with deployment and management of ML models.
• Proficiency in Infrastructure as Code tools like Terraform or Ansible.
• Strong scripting skills in Python, Bash, or similar.

Responsibilities

• Drive operational excellence by implementing and optimizing MLOps practices.
• Design and implement automated deployment pipelines for machine learning models.
• Collaborate to design, implement, and maintain scalable infrastructure for model training.

Skills

MLOps

DevOps

Infrastructure as Code (Terraform, Ansible)

Containerization (Docker, Kubernetes)

CI/CD pipelines

Scripting (Python, Bash)

Monitoring tools (Prometheus, Grafana)

Security best practices

Collaboration and communication skills

Problem-solving

Education

BSc in Computer Science

MSc in Computer Science

Tools

Terraform

Ansible

Docker

Kubernetes

Prometheus

Grafana

ELK Stack

Git

Jira

Job description

Autodesk Vancouver, British Columbia, Canada

25WD87571, Machine Learning Operations Developer: AI/ML Platform

Job Requisition ID # 25WD87571

French translation to follow!/Traduction française à suivre!

About Autodesk

Autodesk makes software for people who make things. We are a global leader in 3D design, engineering, manufacturing, and entertainment software. Our customers use Autodesk software to design and make the physical and virtual worlds that we live in. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film or played an immersive game, chances are you've experienced what millions of Autodesk customers are doing with our software.

Position Overview

Autodesk is seeking a skilled MLOps Engineer to join our AI/ML Platform team. This role is essential in ensuring smooth operation of machine learning models and the efficiency of our next-generation AI/ML platform used across various domains such as design, construction, manufacturing, and media & entertainment.

Responsibilities

• Drive operational excellence by implementing and optimizing MLOps practices.
• Design and implement automated deployment pipelines for machine learning models.
• Collaborate to design, implement, and maintain scalable infrastructure for model training, inference, and data processing.
• Develop monitoring and logging systems for tracking model performance and system health.
• Work with data engineers to ensure efficient data pipelines.
• Implement version control systems and contribute to model governance.
• Ensure compliance with data privacy, security, and ethical standards.
• Identify opportunities for process automation and optimization.
• Play a key role in troubleshooting and incident response.

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.
• Proficiency in Infrastructure as Code tools like Terraform or Ansible.
• Expertise in containerization technologies such as Docker and 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 problem-solving abilities.

Preferred Qualifications

• Experience with cloud platforms like AWS or Azure.
• Knowledge of databases and data storage solutions (SQL, NoSQL, data lakes).
• Exposure to ML frameworks such as TensorFlow and PyTorch.
• Experience with collaboration tools like Git and Jira.
• Familiarity with Agile methodologies.

Learn More / Plus d'information

Welcome to Autodesk! We help innovators turn ideas into reality, transforming how things are made and what can be made. Our culture fosters growth and potential, enabling our employees to thrive and make a difference.

Salary Transparency / Transparence salariale

Salaries are competitive and based on experience and location. Compensation includes base salary, bonuses, stock options, and benefits.

Diversity & Belonging / Diversité et appartenance

We cultivate a culture of belonging and equity. Learn more at our website.

Additional Information

If you are an existing contractor or consultant with Autodesk, please search for internal job postings and apply accordingly.