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Machine Learning Reply

Machine Learning Consultant (m/w/d)

Remote

Remote eligibility is not stated by the employer.

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 1 day ago.

PayNot listed
Work arrangementRemote
Who can applyNot stated by the employer
LevelNot stated
TypeFull time
Occupationletting agent
LanguageNot stated
Posted23 October 2026
Last verified1 day ago
StatusNot seen lately

About the role

Company overview:

Machine Learning Reply provides customized end-to-end solutions in the data science field that cover the entire project life cycle - from initial strategic consulting to data architecture and infrastructure topics, through to data processing and quality assurance using machine learning algorithms. We enable our customers to successfully implement new data-driven business models as well as optimize existing processes and products, with a focus on open-source and cloud technologies.

We are looking for a skilled and motivated consultant to join our team. The ideal candidate should have a technical background and be able to provide support to our clients in using cloud-based solutions. We are looking for someone who has a solid understanding of Software Development, has an interest in Cloud-based Solutions, and shares our passion for Data and AI.

Responsibilities:

  • Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries

  • Implement customer-specific use cases and guide our client through the entire lifecycle from creative workshops to implementation

  • Apply your skills to help our clients improve their data usage through data modeling & data visualization

  • Develop data science use cases

  • Develop and coordinate infrastructure projects (e.g., the introduction of cloud data lakes & data warehouses)

  • Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries

What we offer you:

  • 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 in the areas of data engineering, software engineering, cloud architecture, and data science

  • Benefit from industry-leading cooperations

  • Very active social program - including training, 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”

  • Public transport ticket with Deutschlandticket

  • Gym-membership subsidy for a gym of your choice

  • Flexible work environment between client, Reply office, and remote work


Job requirements

Minimum Job Requirements / Qualifications:

  • Experience and/or interest in the area of artificial intelligence.

  • Experience in relational databases & knowledge of SQL.

  • Experience in at least one additional programming language (e.g. Python, Java, …).

  • Experience using LLMs (Agents, RAG, VectorDBs, …).

  • Knowledge of visualization and frontend technologies strongly preferred.

  • Bachelor’s and Master’s degree and a strong quantitative background, for example, in Business Informatics, Business Science (with an additional background in Informatics), Computer Science, or Data Science.

  • Fluent in English and able to speak German at least at a C1 Level. This requirement is mandatory.

Desired:

  • Experience in cloud infrastructure development and management

  • Experience in the consulting industry

  • Knowledge of technologies like Kubernetes, Docker, or Spark is a plus.

  • Interest in (agile) project management.

What are you waiting for?

Join our team at  Machine Learning Reply as a Consultant in Munich or Berlin!

Find Jobs in Germany on Arbeitnow

Skills

Data Frameworks

Listed via Arbeitnow · first seen 23 October 2026 · last verified 27 October 2026

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