Senior ML Ops Engineer

Group Description

At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

 

Role Summary

Magna New Mobility is a startup inside Magna International, a mobility technology company and one of the largest automotive suppliers in the world.   We are seeking a highly skilled and experienced Machine Learning Operations (MLOps) Engineer to join our team. The successful candidate will be responsible for developing and maintaining ML Ops pipelines and infrastructure in an AWS environment. This role will be hybrid in our Lowell office. #LI-Hybrid

Key Responsibilities

• Design, construct, and sustain ML Ops pipelines and infrastructure on AWS. 
• Establish continuous integration/continuous deployment (CI/CD) workflows for software and machine learning models.
• Work in close collaboration with data scientists, engineers, and other stakeholders to transition software and ML models into a production environment.
• Monitor the performance metrics of software and ML models and resolve any issues that may occur. 
• Ensure system availability, performance, scalability, and security.
• Design, analyze, and troubleshoot large-scale distributed systems.
• Keep abreast of the latest industry developments and technologies in DevOps, MLOps, and AWS.

 

Key Qualifications/Requirements

• Bachelor's Degree or Equivalent Experience in Computer Science, Engineering, or other relevant studies
• A minimum of 5 years of experience as an DevOps Engineer maintaining production clusters.
• Demonstrable experience in MLOps, preferably within an AWS setting.
• A solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)
• Experience in building automation tools and scripts, using coding languages such as Python.
• Experience with system monitoring tools.
• Familiarity with configuration management tools like Ansible.

 

Additional Information

Awareness. Unity. Empowerment.

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.