Elevate your career with Autodesk as a Machine Learning Operations Developer focusing on AI/ML platforms in a hybrid role based in Toronto or Montreal. Contribute to optimizing machine learning model operations and enhancing the platform's efficiency.
This role is essential for ensuring the operational success of Autodesk's next-gen AI/ML solutions. You'll collaborate with cross-functional teams, focusing on deployment automation, model governance, and system performance. Utilize your expertise in MLOps practices to drive continuous improvement and uphold compliance standards.
Key Responsibilities:
- Implement MLOps practices for operational excellence
- Develop automated deployment pipelines for machine learning models
- Collaborate to maintain scalable infrastructure for model processes
- Establish monitoring systems to track model and system performance
- Ensure efficient data pipelines for model training and validation
Requirements:
- BS or MS in Computer Science or related field
- 2+ years in DevOps and MLOps with ML models
- Experience with Terraform, Ansible, Docker, Kubernetes
- Proficiency in Python and Bash scripting
- Familiarity with CI/CD pipelines and monitoring tools
Drive impactful AI/ML solutions using your skills in MLOps and enhance the future of Autodesk.
MLOps Developer for Autodesk AI/ML in Toronto employer: Autodesk, Inc.
Autodesk is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Software Developers to thrive. With a commitment to employee growth, Autodesk offers mentorship opportunities, competitive compensation packages, and a comprehensive benefits program, all while working on cutting-edge technologies in a dynamic environment. Located in Canada, employees enjoy a supportive work culture that values diversity and encourages continuous learning, allowing them to make meaningful contributions to the future of design and engineering.
