Responsibilities
- Work together with Data Scientists and Data Engineers to develop pipelines for the implementation of fully-fledged MLOps Pipeline
- Draft Cloud adoption strategies for customers
- Stay on top of emerging technologies, and partner with market-leading technology organizations to understand and leverage their products
- Take advantage of our team, learning resources, hackathons, and other sources to drive your technical development and be present in the machine learning community
Qualifications
- We are looking forward to your successfully completed university studies informatics, business informatics, mathematics, statistics or equivalent field of study
- At least 1 year of work experience in industry or consulting and developed systems that are in production
- Experience with Cloud Technologies (AWS, Azure or GC) and Infrastructure-as-Code (IaC): AWS CloudFormation, Terraform or Ansible
- Experience developing code in Java or Python; object oriented design, and good coding standards as well as container technologies.
- Very good English skills. German language would be beneficial. Willingness to travel
Machine Learning Reply
Machine Learning Reply offers customized end-to-end Data Science solutions, covering the entire project life cycle – from initial strategy consulting, data architecture and infrastructure topics, to processing data with quality assurance using Machine Learning algorithms. Machine Learning Reply has extensive expertise in the field of Data Science in all key industries of German HDAX companies. Machine Learning Reply empowers clients to successfully introduce new data-driven business models and to optimize existing processes and products – with a focus on distributed open source and cloud technologies. With the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, data scientists and engineers. Machine Learning Reply is part of the Reply Group: Reply