Machine Learning Consultant (m/w/d)

Das ist der Job

Experience in relational databases & knowledge of SQL.

Darum lohnt es sich

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) 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.

Join our team at Machine Learning Reply as a Consultant in Munich or Berlin ! #J-18808-Ljbffr 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. 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?