Machine Learning Systems Engineer
hace 4 semanas
About the Role:
We are seeking a highly skilled Machine Learning Operations Engineer to join our team at Proton. As a Machine Learning Operations Engineer, you will be responsible for maintaining the operational excellence of our machine learning and anti-abuse systems. These critical services must run reliably 24/7 and scale with increasing traffic and complexity.
Key Responsibilities:
- Ensure the operational excellence of machine learning and anti-abuse systems running 24/7.
- Research, develop, stress test, and roll out new services and infrastructure.
- Collaborate with engineers to implement logging, monitoring, alerting, and on-call capabilities.
- Debug and resolve production issues efficiently.
- Manage and monitor production systems involving in-house developed solutions.
- Deploy, run, and maintain machine learning systems in production environments.
- Utilize Docker for containerization and efficient deployment.
- Implement and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Requirements:
- Strong expertise in infrastructure automation tools (Puppet, Terraform, OpenNebula, Kubernetes).
- Proficient in scripting languages (Bash, Python).
- Experience in managing and scaling data storage solutions, particularly MySQL, Kafka, and ElasticSearch.
- Familiarity with Dask and Airflow for data processing and workflow orchestration.
- Solid experience with CI/CD pipelines for automated deployments.
- Hands-on experience with Docker for containerization.
- Ability to operate in a fast-paced environment with a global team and participate in on-call rotations.
- Excellent communication skills in English, both written and spoken.
Why Proton?
At Proton, we are committed to creating a better internet, where privacy is the default. We believe that everyone deserves to have control over their data and online presence. As a Machine Learning Operations Engineer, you will be part of a team that is dedicated to making this vision a reality.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
- The chance to work on challenging projects and make a real impact.
How to Apply:
If you are a motivated and experienced Machine Learning Operations Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to our careers page.
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