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.
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.
- 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!