Cloud & Machine Learning Consultant (m/f/d) für Anzing bei München gesucht

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Job Kategorie: IT/IT-Dienstleistung Informationstechnologie (IT)

Stellenangebot Basisdaten

Arbeitsort:: DE 85646 Anzing bei München
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 26.09.20242024-09-26

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

Arbeitgeber bzw. Arbeitsvermittler: Machine Learning Reply in Hamburg

Branche: IT/IT-Dienstleistung

Kategorie: Informationstechnologie (IT)

Stellenbeschreibung: Job Description At Machine Learning Reply Germany we work with our clients on leading-edge data science projects for which we are seeking Dashboard Developer with focus on Data Science solutions with a strong IT background to bring our data to life! Machine Learning Reply, with its sister company in Italy and over 13.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science and the right organizational frameworks as their backbone. We offer tailor-made end-to-end solutions in the Data Science area that cover the entire project lifecycle - from initial strategy consulting to data architecture and infrastructure issues to data processing, modeling and visualizations that embed our use case results into interactive dashboards. You are experienced or have a strong motivation to learn solving problems through data usage & data visualization . You never lose focus, are numbers driven and like to visualize data? Then we want to hear from you! Responsibilities: Design and develop cloud-based machine learning solutions using AWS, Azure, or other cloud providers. Extracting data from various data sources of our clients (cloud and on-premise) and connecting, importing, and transforming data to optimize their usage Support business decision-making by providing data to business cases, qualitative assessments, and workshops together with our data scientists and engineers Advise our client on how data usage is shaping strategic decisions or how artificial intelligence adoption can increase through the right interactive visualization by business 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 between the areas of data engineering, cloud architecture and data science Benefit from industry leading cooperations in the cloud, BI and AutoML field Very active social program - including trainings, 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” You choose your state-of-the-art work equipment Public transport ticket within Munich Gym-membership subsidy for a gym of your choice Flexible work environment between client, Reply office and remote work Requirements Job Requirements / Qualifications: Previous experience and/or interest in the area of Artificial Intelligence projects and Cloud. First project experience, either through internships or similar corporate experience, in designing Cloud-based solutions. Successfully completed university studies with a strong quantitative background , for example in Business Informatics, Data Science, Informatics, Computer Science, or similar. Ability to convincingly communicate and present analytical results to management. Fluent in English and able to speak German at least at a B1 level . Desired: Experience working in cloud technologies (AWS, Azure). Understanding of underlying database infrastructure (data models, ETL processes). Experience in Python and SQL. Kubernetes and/or Docker knowledge is a plus . Interest in (agile) project management. What are you waiting for? Join our team at Machine Learning Reply as a Dashboard Developer with focus on Data Science solutions in Munich !

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Machine Learning Reply
Am Strandkai 1
De 20457 Hamburg

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