ML Ops Engineer.

ML Ops Engineer | Hamburg | Scale up | 2 stage process | AI | €80,000-€100,000 | B2 German

I am working with a pioneering AI scale up based in Hamburg who need an ML Engineer/Developer to join the growing team.

AI plays a huge part in the businesses growth plans and success, however, need an experienced ML Engineer to drive this growth for the business.

Join our client's team and contribute to revolutionary solutions in machine learning operations. As an MLOps Engineer, you'll collaborate with top-tier talent to develop and manage robust platforms for computer vision and machine learning applications. Your role will involve building and maintaining ML infrastructure, ensuring compliance, and communicating effectively with stakeholders.

Responsibilities:

• Collaborate with peers in the Computer Vision and Machine Learning team and Infrastructure team
• Establish and manage an ML platform leveraging Kubernetes and bare-metal infrastructure
• Ensure version control and compliance while providing secure training environments
• Develop build and deployment pipelines and manage capacity
• Design innovative solutions to enhance the ML platform and uphold security
• Communicate effectively with stakeholders and enhance transparency through proactive reporting

Qualifications:

• 5 years of experience in Kubernetes and 2 years in MLOps
• Strong technical skills with hands-on experience in training, inference, and operations
• Solution-oriented mindset with a focus on pragmatic solutions and trade-off management
• B2 German skills

If you want to learn more, please apply or message me on LinkedIn and we can set up a call!