Cloud & Machine Learning Consultant (m/f/d)

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Job Overview

Machine Learning Reply in Germany is currently seeking a talented professional for the position of Cloud & Machine Learning Consultant. This role focuses on working with clients on cutting-edge data science projects, making it ideal for individuals with a robust IT background seeking to develop data visualization solutions. The opportunity emphasizes translating complex datasets into functional applications that aid in business analysis and decision-making.

Company Background

Machine Learning Reply, part of a larger global network with over 13,000 employees, is recognized for its innovative approach to data science and machine learning. The company collaborates closely with clients across various sectors, including Banking, Insurance, Automotive, and Retail. Their mission is to provide tailor-made end-to-end solutions that encompass everything from initial strategy consulting to advanced data architecture and processing.

Responsibilities

As a successful candidate, you will be responsible for:

  • Designing and developing cloud-based machine learning solutions using prominent platforms such as AWS, Azure, or others.
  • Extracting and connecting data from diverse sources (both cloud and on-premise), optimizing its usage for improved insights.
  • Supporting the decision-making process by providing comprehensive data analysis to support various business cases and workshops.
  • Advising clients on the impact of data usage on strategic decisions, as well as enhancing the adoption of artificial intelligence through effective interactive visualizations.

Required Skills and Qualifications

Candidates applying for this position should possess:

  • A strong interest or previous experience in Artificial Intelligence projects and cloud technologies.
  • Initial project experience, preferably gained through internships or similar roles, in designing cloud-based solutions.
  • A degree with a quantitative background, such as in Business Informatics, Data Science, Informatics, or Computer Science.
  • The ability to effectively communicate and present analytical findings to management.
  • Fluency in English and a minimum of B1 level German proficiency.

Additionally, the following skills would be advantageous:



  • Familiarity with cloud platforms like AWS or Azure.
  • Understanding of databases and related processes like ETL (Extract, Transform, Load).
  • Proficiency in programming languages such as Python and SQL.
  • Knowledge of containerization tools such as Kubernetes and/or Docker.
  • An interest in agile project management methodologies.

What Machine Learning Reply Offers

This role comes with many incentives and opportunities for growth, including:

  • Access to projects spanning various industries, broadening your perspective and skill set.
  • Opportunities to enhance your knowledge through training and interdisciplinary collaborations in data engineering, cloud architecture, and data science.
  • A vibrant social program that includes training sessions, conferences, team-building events, and hackathons.
  • An open, flat organizational structure that encourages sharing knowledge and best practices within the Reply network.
  • A modern and award-winning office located in downtown Munich, with perks such as public transport tickets and gym membership subsidies.
  • Flexibility in work settings, allowing a mix of client engagements, time at the office, and remote work options.

Conclusion

If you are passionate about creating impactful data-driven solutions and eager to grow within a dynamic, supportive environment, consider applying for the Cloud & Machine Learning Consultant position at Machine Learning Reply. Your background in IT and enthusiasm for problem-solving with data could make a significant difference in the projects at hand.



This job offer was originally published on himalayas.app

Machine Learning Reply

Germany

Data science

Full-time

February 6, 2025

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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.