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Cloud & Machine Learning Consultant

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full-time

Posted on:

Location Type: Remote

Location: Remote • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerETLKubernetesPythonSQL

About the role

  • Design and develop cloud-based machine learning solutions using AWS, Azure, or other cloud providers.
  • Extracting data from various data sources of our clients (cloud and on-premise) and connecting, importing, and transforming data to optimize their usage
  • Support business decision-making by providing data to business cases, qualitative assessments, and workshops together with our data scientists and engineers
  • Advise our client on how data usage is shaping strategic decisions or how artificial intelligence adoption can increase through the right interactive visualization by business

Requirements

  • Previous experience and/or interest in the area of Artificial Intelligence projects and Cloud.
  • First project experience, either through internships or similar corporate experience, in designing Cloud-based solutions.
  • Successfully completed university studies with a strong quantitative background, for example in Business Informatics, Data Science, Informatics, Computer Science, or similar.
  • Ability to convincingly communicate and present analytical results to management.
  • Fluent in English and able to speak German at least at a B1 level.
  • Desired: Experience working in cloud technologies (AWS, Azure).
  • Understanding of underlying database infrastructure (data models, ETL processes).
  • Experience in Python and SQL.
  • Kubernetes and/or Docker knowledge is a plus.
  • Interest in (agile) project management.
Benefits
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Broaden your skills through interdisciplinary work and training between the areas of data engineering, cloud architecture and data science
  • Benefit from industry leading cooperations in the cloud, BI and AutoML field
  • Very active social program - including trainings, conferences, team buildings, Reply Exchange, communities of practices and hackathons
  • Work in an open, flat environment, within a broad Reply knowledge sharing network
  • Award winning office space in downtown Munich with access to “Stammstrecke”
  • You choose your state-of-the-art work equipment
  • Public transport ticket within Munich
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office and remote work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningcloud-based solutionsdata extractiondata transformationPythonSQLETL processesKubernetesDocker
Soft skills
communicationpresentationanalytical thinking