As a Cloud Engineer at Machine Learning Reply Germany, you will work on leading-edge data science projects and cloud solution architectures, collaborating with a motivated team in a fast-growing consultancy.

In Short

Design innovative cloud solution architectures.
Implement cloud architectures on AWS, Azure, or Google Cloud.
Collaborate with Data Science and Data Engineering teams.
Participate in the complete lifecycle from conceptualization to implementation.
Engage in communities of practice and hackathons.
Access to projects across various industries.
Broaden skills through interdisciplinary work and training.
Participate in a very active social program.
Work in an open environment with knowledge sharing.
Flexible work environment including remote work.

Requirements

University degree in computer science, mathematics, or similar.
Experience with AWS or Azure cloud services.
Solid understanding of Linux systems.
Knowledge of Terraform, CloudFormation, and Ansible.
Good knowledge of databases, networks, or cluster technologies.
Familiarity with programming languages like Python.
Experience with Big Data technologies such as Spark or Hadoop.
Fluent in German and English.

Benefits

Access to industry-leading cooperations.
Training and development opportunities.
Public transport ticket within Munich.
Gym-membership subsidy.
State-of-the-art work equipment.

Machine Learning Reply

Machine Learning Reply is a fast-growing consultancy that specializes in leading-edge data science projects. With a global presence and over 13,000 employees, the company focuses on providing tailor-made end-to-end solutions that encompass the entire project lifecycle, from strategy consulting to data architecture, processing, modeling, and visualization. They work closely with clients across various industries, including banking, insurance, automotive, and retail, to solve complex problems through data usage and visualization. The company fosters a collaborative and innovative work environment, offering opportunities for professional development and access to state-of-the-art technology.

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