MLOps Engineer

Key QualificationsKey Qualifications

• Experience in Python software engineering
• Experience with DevOps techniques like CI/CD, containers, Infrastructure as Code, immutable infrastructure, GitOps and relevant tools
• Experience with development of web applications and scalable APIs (REST, GraphQL) using frameworks like Django, Flask, FastAPI. Frontend and TypeScript experience is a plus
• Experience with databases and SQL. Experience with PostgreSQL is a plus
• Knowledge of Linux administration and automation. Experience in macOS is a plus
• Experience with distributed build systems or data processing pipelines is a plus
• Knowledge of Machine Learning or Computer Vision is a plus
• Excellent collaboration and teamwork skills
• The requirements listed above are not fixed rules. If you meet many of them or have other relevant experience, we encourage you to apply. All candidate profiles are considered for their fit to the role.

DescriptionDescriptionYou will be working on internal software and infrastructure that enables the machine learning team to work on next-generation projects and products. As a member of the infrastructure team your objectives will be the improvement and acceleration of all aspects of the machine learning workflows, from data processing pipelines, CI/CD integrations, to the development of custom tools. You will work closely with the research and development team in a fast paced environment where you will be asked to solve problems by providing innovative solutions while writing high quality and maintainable code. Your willingness to pick up novel tasks and tools and acquire novel skills will help you thrive. The results of the work of Zurich Vision Lab are used by millions of customers every day, running our algorithms on their devices. Therefore the focus in our MLOps work is on tooling and automation for running large scale data pipelines to generate the training data, train the models in cloud environments, thoroughly evaluate their quality, and providing CI for Python codebases. Education & ExperienceEducation & ExperiencePhD, Masters or Bachelor in computer science, information systems, physics, mathematics or equivalent, or equivalent work experience. If this is you, we'd love to hear from you. Additional RequirementsAdditional Requirements

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