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(Senior) Machine Learning Systems Engineer (M/F)

Permanent employee, Full-time · Köln

About us
About Us
At KI analytics, we are a team of consulting data scientists, data devops and visual storytellers at the forefront of innovation. We believe in the tectonic force of innovation in the area of machine learning and data driven decision making. We help our customers adapt to the new world by bringing the new technologies and the new culture into the corporations. We do it by implementing the systems together with our customers. We try hard to build a culture of open-mindedness and think a lot about optimizing our work using agile practices. We aim to share this culture with our clients. KI analytics is a member of KI group with branches located in Cologne, Stuttgart, Berlin and Munich.
Skills and Qualifikations
Your Responsibilities

  • Keep in touch with the state-of-the-art in scalable data architectures and build applications.
  • Apply machine learning systems best practices.
  • Help our customers understand the implications of using modern data infrastructures.
  • [Architect and] build the future infrastructures that will be needed by our clients tomorrow.
  • [Play a key role in defining the way our clients build and work with data applications].
Skills and qualifications
  • Obsession about modern approaches to scalability, microservices architectures and machine learning.
  • Broad knowledge and understanding of large scale data processing techniques and requirements.
  • Interest in use cases of AI and working on data for related technologies.
  • [At least 3 years of] working knowledge with cloud provisioning and microservices infrastructures.
  • [At least 3 years of] working knowledge with Hadoop, Spark and Kafka.
  • [At least 3 years of] working knowledge with one of Java, Go, Python, Bash, Rust, etc.
  • You will have an opportunity to be at the front of innovation together with our prominent clients, influencing the car you drive in five years, the services you have on your flight, and the way you pay for your morning coffee.
  • You get a challenging working environment with an ambitious team of individuals with unique backgrounds and expertise.
  • You get the chance to work on various interesting projects in short time frames.
  • We have an open door work culture where ideas and initiatives are encouraged.
  • We offer a performance-based competitive salary.

Your application

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