Responsibilities

You will support the successful implementation of customer products and help them assess and solve their most relevant pain points!

Develop E2E software solutions in a modern and agile environment

Work in an innovative and international team in projects with high business impact and play an important role in the client's decision making

You enjoy brainstorming, conceptualization and final implementation. You, therefore, love to accompany the complete LifeCycle by creating specifications, code, and presentations for your solutions

As part of the Reply network, you join communities of practice, participate in hackathons and use all available learning resources

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

First experience with Backend technologies (NodeJS, Spring/SpringBoot, Flask/Django, REST APIs etc.) and Frontend technologies (Angular, React, Typescript etc.)

First experience with E2E web services and usage of related frameworks

Very good English skills. German language would be beneficial as well as 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