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MLOps Engineer

MLOps Engineer - Machine Learning, Data Science, Operations, Docker, Kubernetes, TensorFlow, Python, Munich

One of our leading customers is looking for an experienced MLOps Engineer to join their talented team.

This business is a Silicon Valley start-up who utilise machine learning and computer vision to pioneer a new form of property information, built specifically for the organizations that finance, protect, and invest in homes and businesses. With clients across the insurance and real estate industry, they are leading a digital transformation to secure properties in the face of complex trends in both housing and climate.

The business is looking for a MLOps Engineer to join their team in Munich.

This role would allow you to work with some of the smartest engineers in the industry; people passionate about what they do and in building industry-leading products.

Responsibilities:

- Develop MLOps solutions, tools, practices and culture, enabling faster and more reliable ML solutions

- Build components for ML pipelines

- Contribute to the improvement of end-to-end ML development process, from collection tools, all the way to deployment to production environment

Experience required:

- Strong experience in MLOps Engineering; including MLOps lifecycle management (building, deploying, supporting)

- Advanced experience working with ML pipelines and tooling

- Ability to demonstrate MLOps elements and architectures

- Programming experience in Python or other scripting languages

- Docker, Kubernetes, Linux, CI/CD, AWS, GCP etc...

If you are interested in this role and business and would like to discuss further, please apply and we'll schedule a call in the coming days.

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

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