Consultant Machine Learning Engineering (m/f/d) 1

As a “Consultant Machine Learning Engineering (m/f/d)” you will develop machine learning applications from data acquisition and processing to analysis. You work in multinational teams and are the direct contact person in customer communication.

In our team you will take on the following responsibilities:

Implementation of customer projects from the proof of concept to the transfer into operation through DevOps or MLOps Implementation of model training, deployments, data pipelines, dashboards Implementation of mathematical and statistical methods for machine learning solutions in cooperation with customers Direct customer communication: visualization, documentation and presentation of project successes Business Development: Support of product management through implementation, e.g. of specific ML applications such as “Intelligent Quality Control” Optional: Conception of technical solutions based on customer-specific requirements in the project or
in the course of sales and tendering procedures #EHE_TSI

You are an experienced consultant in the field of machine learning who can inspire and guide others. With drive and initiative, you tackle new challenges in a team and advance existing projects based on your own experience. You convince others with your personal appearance and have fun and experience in customer-oriented work. Your competencies, which you have acquired in several years of practical experience, are:

2+ years of project experience in machine learning with classic methods and deep learning, statistics, data analysis 1+ years of experience with Python development and its numerical ecosystem, in particular with Pandas, Scikit-Learn, Numpy/Scipy, Matplotlib, Jupyter, Anaconda, Tensorflow /Pytorch Good understanding of current developments and topics in the areas of computer vision, natural language processing (NLP) or predictive analytics data engineering, e.g. data modelling, feature engineering, database software engineering, e.g. with the implementation of CI/CD, DevOps, Clean Code Basic knowledge or understanding of concepts in the areas of: Container, Kubernetes, Message Queuing (e.g. Kafka), REST, solution and software architecture Willingness to travel and enjoy working with customers directly on site Fluent German and English skills, e.g. for the presentation of data and analyzes in customer appointments

At T-Systems, we offer our business customers the right system solutions for their digital business. With our portfolio, we ensure that digital transformation reduces complexity, saves costs and makes everyday work easier. Our focus is connectivity, digital, cloud & infrastructure as well as security – Let’s power higher performance!

Florian Nemeth
Call at:
+43 676 8200 8343
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