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Your Tasks

Your department

The PU Public Cloud acts on a national and international level, for medium-sized and large companies. With the new Managed Services Public Cloud, we develop, market and operate agile, cloud-native, future-oriented products and services for the digital world. We see ourselves as innovation drivers and make our customers' businesses fit for the digital future. Our mission: In order to be successful in tomorrow, we must think about the day after tomorrow - and always together with our customers.

Your tasks

As a Senior Data Science Platform Engineer (m/f/d) you are responsible for planning and implementing our machine learning projects - especially PoCs. Together with our architects and offering managers, you will develop concepts for industrial customers using state-of-the-art technologies such as big data, deep learning or container orchestration. In data science projects you lead data scientists and machine learning engineers professionally and work in close coordination with stakeholders on a successful implementation.

• Conception of our AI / ML platform on public cloud environments for the rapid provision of AI / ML tools in cooperation with our offering managers

• Development of advanced AI / ML models including data preparation and visualization of data and analysis results

• Identification of new strategic areas of application, use cases and products through the use of innovative analytical methods and technologies, taking current market trends into account

• Evaluation of costs and efforts for the implementation of customer-specific requirements

Your Profile

Your profile

You have successfully completed a degree or doctorate in business, computer science, physics, mathematics or engineering. You also have very good knowledge of mathematics, statistics and modern data science methods (e.g. AI, ML), as well as knowledge of economic considerations and data organization.

In addition, you have the following knowledge and experience:

• Several years of practical experience as a data scientist or machine learning expert

• Practical experience with Docker containers and knowledge of orchestration platforms such as Kubernetes or OpenShift

• Extensive experience with functional programming languages, e.g. Python (Python classes, Pandas, Numpy) and known AI / ML libraries (e.g. TensorFlow, Scikitlearn, etc.)

• Experience with machine learning pipelines (e.g. Kubeflow or Apache Beam)

• Practical experience with tools and services from large cloud providers such as AWS, GCP or MS Azure

• Very good spoken and written knowledge of German and English

• Flexibility and willingness to travel (nationally) are expected

What we offer

  • Home office/mobile working possible

    Whether in the office or from any other location - mobile working is no problem for us. Working from home is part of our professional everyday life and is supported by digital platforms.

  • Connection to public transport

    Start your working day relaxed and without stressful rush hour traffic - our location is well connected to public transport and the next stop is just around the corner.

  • Canteen on-site

    Healthy eating in the company of colleagues - our on-site canteen makes it possible. Here you can choose from a large selection of hot and cold dishes in comfort and only a few minutes away from your office.

  • Employee discounts

    Products and services at a discount - our employees receive discounts in the fixed network, Internet, mobile communications, TV and Smarthome sectors. Family and friends also benefit from many offers.

  • Christmas bonus

    Every year again... - we are happy to give our employees an additional gift in the form of a Christmas bonus.

  • Life insurance

    Well insured - our offer to all employees includes an employer-financed life insurance.

About us

About us

Company description

Services need to be available anywhere and anytime. Dynamic markets, globalization and technological changes always create higher competitive pressure. To cope with these changes, companies need to be prepared quickly and safely. T-Systems is responsible for the large enterprise business within Deutsche Telekom. It is mission-critical to identify technological trends early and then to develop and implement these trends. As a "Cloud Pioneer" with overarching industry know -how and its ICT expertise, T-Systems offers innovative products and solutions for companies and enterprises.

Company committed to diversity and equal opportunities.

Our Online Application Process

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