Company Description - FULL TIME - Mülheim-Kärlich, Germany - With Professional Experience Who are we? Today, we are not utilizing resources in a sustainable way. In fact, the world is only 9% circular, meaning much of the Earth’s precious resources are only used once, leaving huge untapped potential for more sustainable resource management. TOMRA provides cutting-edge solutions for optimal resource productivity within the recycling, mining and food industries and is therefore uniquely positioned to shape the Circular Economy, creating demand for this way of thinking in the world. At TOMRA we want to be a thought leader, encouraging a more sustainable way of thinking and inspiring active change around the world. Job Description As a member of our R&D team responsible for Deep Learning software, you will be responsible for maintaining and improving our Kubernetes based ML infrastructure and workflow – both on premise and in the cloud. In this position, you will work on automating the tools used during development and structure the deployment process of created Deep Learning solutions. You will also be responsible for monitoring in-production ML models. At our company, we are dedicated to bringing the object classification power of Deep Learning methods to our sorting machines. You will join a collaborative team where everyone is doing their best to achieve this goal. Key Responsibilities: - Develop and operate Kubernetes based ML infrastructure to support model training, evaluation and deployment; - Create, build and maintain our cloud-based ML workflow to deploy developed models to our sorting machines; - Monitor in-production ML models; - Automate processes to maintain and scale our ML solutions; - Work closely with our Deep Learning software developers, data scientists, application engineers, and DevOps to create a highly automated environment. Qualifications - Bachelor's or Master's degree in Computer Science or a related field, or relevant job experience; - Experience with Docker and Kubernetes, ideally with Kubeflow; - Solid understanding of ML and Deep Learning methods; - Industry experience in deploying and maintaining ML models at scale is a plus; - Experience with MS Azure is a plus; - Passion for delivering high-quality software; - Experience in Python is a must; - Good language skills in English, both spoken and written; - At least basic language skills in German; - Good communication skills. Additional Information Your benefits - 30 days annual leave; - Supported company pension scheme; - Supported group accident insurance; - International SOS for private use; - Hybrid working principles, flexible working hours; - Opportunity to purchase TOMRA shares; - Employee benefit discounts for TOMRA Online Shop; - Company (e-) bike leasing; - Gym membership coverage support; - Office comfort: free parking spaces, canteen, coffee machines; - Professional and personal development: learning on the job, specialized course, conferences etc.; - Coaching opportunities - Individual Development Programs; - Norwegian corporate culture (no hierarchical thinking, transparent communication culture). Are you interested? Please send your - CV (in English); - Motivation letter in English (in short: why you are a good fit for this position); \ Tomra does not differentiate on the basis of gender, race or ethnicity, religion, color, sexual orientation or identity, disability, age, or other protected statuses as given by applicable law. We are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer. Most importantly, it’s a match! \#LI-MH1
MLOps Developer - Kubernetes * (m/w/d) (IT-Systemadministrator/in)MLOps Developer - Kubernetes * (m/w/d) (IT-Systemadministrator/in)