ML Ops Engineer (m/f/d)

At voize, we're revolutionizing healthcare documentation through AI technology. As our ML Ops Engineer, you'll be at the forefront of developing and scaling robust ML infrastructure that powers our innovative speech-to-documentation solution for healthcare workers.

Our mission is critical: we're saving healthcare professionals valuable time (39 minutes per day on average) by converting their spoken words into accurate documentation entries. Already trusted by over 600 senior care homes and growing rapidly, we're making a real impact in the healthcare sector, saving over 3.5 million hours annually that can be redirected to patient care.

In this role, you'll be instrumental in designing and maintaining the infrastructure that makes this possible. You'll work with cutting-edge ML technologies, managing GPU clusters, and ensuring our production systems run efficiently at scale. Your expertise in MLOps, infrastructure automation, and data pipeline optimization will be crucial as we continue to expand our services and impact.

The ideal candidate brings deep experience in ML model deployment, infrastructure management, and data pipeline development. You'll need to be comfortable with tools like Triton, ONNX, Kubernetes, and Docker, while following best practices in Infrastructure as Code and GitOps. Strong communication skills and fluency in both German and English are essential for collaborating with our diverse team.

We offer a dynamic, fast-paced environment where your work directly improves healthcare delivery. Our culture emphasizes iterative development, open communication, and continuous learning. Benefits include virtual stock options, flexible working arrangements, comprehensive learning resources, and regular team events. With 30 days of vacation (plus your birthday off), we ensure you have time to recharge.

Join us in our mission to transform healthcare documentation through AI innovation. Your expertise will help us scale our impact, making healthcare professionals' work more efficient and allowing them to focus on what matters most - patient care.

Requirements:

• Proven experience with ML infrastructure and model deployment
• Strong background in data pipeline development and optimization
• Expertise in container orchestration and infrastructure automation
• Fluency in German and English
• Collaborative mindset and excellent problem-solving skills

This is an opportunity to work on meaningful technology that makes a real difference in healthcare delivery, while being part of a rapidly growing, YCombinator-funded startup with global ambitions.