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    MA

    Machine Learning Reply

    Artificial Intelligence

    Machine Learning Consultant (m/w/d)

    Munich, GermanyHybridFull-timePosted 1w ago
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    Job description

    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!

    Job details are sourced from the employer's original posting.

    Open job posting
    MA

    About the company

    Machine Learning Reply

    A company focused on machine learning applications, particularly in AI products and LLM/RAG technologies.

    View all Machine Learning Reply jobs
    Industry
    Artificial Intelligence
    Open roles
    14

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