DevOps/MLOps Engineer

Company Information

DataHow AG is a spin-off company from ETH Zurich specialized in data analytics and process modeling for the process industry with a particular focus on the biopharmaceutical and chemical domains.

Description

They are looking for a brilliant MLOps engineer supporting their efforts aimed to the prototyping and the commercialization of web-based data science tools for the pharmaceutical and biotech manufacturing industry. You will support the creation and deployment of software solutions by integrating our advanced predictive machine learning models with data management and orchestration of training and prediction. This includes the interaction with the main customers and academic partners.

Responsibilities

• Integration in our international Scrum development team;
• Deploy and monitor software installations for multiple clients;
• Build a CI/CD pipeline for data science;
• Orchestrate and monitor training and prediction of machine learning algorithms in Kubernetes;
• Support project work for international clients from biotechnological and chemical industry.

Main requirements

• Excellent university degree (at least Bachelor) in computer science, informatics, or similar fields;
• Practical DevOps experience with focus on machine learning solutions
• Interest in engineering problems and challenges related to industry 4.0;
• Interest in work associated with biotechnological, chemical and pharmaceutical process data;
• Motivation to work in an internationally active start-up company;
• Fluency in written and spoken English;
• Responsibility, creativity, divergent thinking, enthusiasm.

Perks

• Integration into a young and dynamic team of computationally experienced chemical engineers, biotechnologists and computer scientists ready to master the digitalization challenge in the process industry;
• Sharp learning curve in a challenging and highly interdisciplinary working environment;