Senior MLOps Engineer, Promaton

• 5+ years of experience working with Python
• Solid experience in building scalable solutions to bring AI Models to production
• Experience with iterations on running products, experiment management, and data versioning
• Experience in designing complex pipelines, applying SWE design principles
• Solid experience with Kubernetes deployment, in AWS environment
• Experience productionizing computer vision models, or previous experience in medical AI or similar regulated fields
• Good collaboration and communication skills
• Based on a time zone between UTC-1 and UTC+3 (+/-2 hours Amsterdam time)

Desirable

• As an experienced MLOps engineer, you will be working closely with our product R&D teams, enabling fast iterations and scalable ML solutions
• Making our AI pipelines work smoothly by solving complex problems
• Taking a leading role in executing company-wide initiatives on our MLOps roadmap
• Proactively helping with setting the right prioritization to ensure work is aligned with the business needs while keeping tech debt in mind
• Coaching other team members and sharing knowledge to help the team improve alongside you
• Working with an accomplished team of machine learning researchers and engineers, who already have 8 patents on their name
• Deployment architecture improvements to reduce cost and latency
• Continuous monitoring of incoming data in production
• All our products process large data points, ranging from 5 up to 700MB. This means that a lot of off-the-shelf tooling doesn't work for us, and we need to invent our own to process and manage our data
• We are a cloud-native company, and cloud-native ML frameworks are still in their early days. You'll help us navigate the ever-evolving ecosystem of tools, to make sure we find the right balance between off-the-shelf and home-grown tooling
• Medical AI has to comply with the highest quality standards and we operate in a regulated environment