About Machine Learning Reply:

machine Learning Reply offers tailor-made end-to-end solutions in the data science area that cover the entire project life cycle-from initial strategy consulting to data architecture and infrastructure issues using the use of 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 enables its customers to successfully introduce new data-based business models and to optimize existing processes and products-with a focus on open source and cloud technologies. With the Machine Learning Incubator, the company offers a program for the training of the next generation of decision-makers, data scientists and developers.

tasks

You are responsible for the design of technical approaches to the cloud introductions, also with regard to data-intensive applications with a focus on machine learning and artificial intelligence

Implementation and visualization of the cloud architecture, based on AWS, Azure or GCP and/or on-premises-infrastructures of our customers, also includes

You automate recurring tasks through the latest submissive and MLOPS concepts so that our customers can significantly reduce their time-to-delivery

You always have an eye on current trends in the cloud area and follow" Best Practices "

You take care of the necessary surveillance, failover and recovery infrastructures that enable our customers to operate their machine learning solutions in accordance with the latest regulatory requirements Data-List = "Bullet"> close interaction with customers and interest groups in order to translate concrete and complex business requirements into production-ready solutions

Cooperation with various disciplines such as corporate architects, analysts, data scientists or data engineers for the development of data intensive applications such as data warehouses, data lakes and/or data platforms

benefit


Data-List = "Bullet"> Regular and systematic (external and internal) further training opportunities. Benefit from our team, learning resources, hackathons and more to promote your technical development and to have a presence in the machine learning community (interdisciplinary work and training in the areas of data engineering, cloud architecture and data science)

Access to cross-industry projects (large and medium-sized companies from the areas of banks, insurance, automotive, retail, etc.)

Industry-leading cooperation in the areas of cloud, bi and Automl

work in an open, flat environment for knowledge exchange Data-List = "Bullet"> Awarded office space in Munich city center with access to the main route

Grant for a fitness studio membership in a fitness studio of the election

Flexible working environment between customers, reply office and remote thesis

We look forward to your degree with a quantitative or economic background, for example in computer science, business informatics, economic mathematics or business administration

ideal. Practical experience with DevOps/MLOPS principles and computer platforms such as Microsoft Azure, AWS and GCP as well as DataBricks with

First experience in Kubernetes and programming languages, Java and Java and Scala and sql and nosql database technologies and data lakes

Knowledge of cloud architectures (AWS or Microsoft Azure), in the common operating systems such as Unix/Linux and in Application platforms

to travel nationally and written communication skills in German and English and the willingness nationally

ability to communicate analytical results and present the management

Other locations

Munich/Bremen/Leipzig