20 beste Stellen als cloud engineer in unterhaching, by – aktuell auf Personalsuche

AI Infrastructure Engineer
Google —München
- 100.000 € – 103.000 € pro Jahr
- Vollzeit
- Informatik
- Java
- C++
12 Tage
Senior Cloud Engineer
CompuSafe Data Systems AG —München
- 83.000 € – 91.000 € pro Jahr
- Vollzeit
- DevOps
- Englisch
- Analysefähigkeit
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
2 Tage
Cloud Software Engineer (m/w/d)
Deloitte Consulting GmbH —München
- Teilzeit
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Devops Engineer
Verimatrix —München
- Vollzeit
- Informatik
- DevOps
- Java
Direkt bewerben
2 Tage
IT Operations Engineer Cloud Applications (m/w/d)
Deloitte GmbH —München
- Online-Bewerbung
- Informatik
- Englisch
- Hochschulreife
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Senior Cloud (Data) Platform Engineer (m/w/d)
Deloitte Consulting GmbH —München
- Teilzeit
- Azure
- Englisch
- Java
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
IoT & Connectivity Engineer (human)
Neura Robotics —München
- Vollzeit
- AWS
- Scripting
- Erfahrung mit Netzwerken
Direkt bewerben
8 Tage
Cloud Backend Engineer (IoT Platform) (m/f/d)
FRANKA ROBOTICS GmbH —München
- Vollzeit
- Informatik
- AWS
- APIs
Direkt bewerben
10 Std.
(Senior) Cloud Engineer Azure (m/w/d)
MAKONIS GmbH —München
- Teilzeit
- Hybrides Arbeiten
- Azure
- DevOps
- Datenbanken
Cloud DevOps Engineer (w/d/m)
puntus GmbH —München
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Englisch
- Java
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Direkt bewerben
IT Cloud Consultant oder System Engineer (m/w/d)
CCS 365 GmbH —München
- Vollzeit
- Azure
- SharePoint
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Google Cloud AI Engineer (all genders)
Accenture —München
- Vollzeit
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
(Senior) Cloud Engineer (w/m/d)
Sogeti —München
- Per E-Mail
- Azure
- Englisch
- AWS
- Weiterbildungsprogramme
Cloud Engineer (w/m/d)
Capgemini —München
- Azure
- Informatik
- DevOps
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)
BMW —München
- Vollzeit
- Informatik
- DevOps
- AWS
- Flexible Arbeitszeiten
Junior SecOps Engineer (m/f/d)
The Mobility House —München
- Vollzeit
- Informatik
- DevOps
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Lead AI Systems Engineer (All Genders)
zooplus SE —München
- 74.700 € – 112.100 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- AWS
Direkt bewerben
(Senior) Software Engineer (m/f/d) BESS Tech Team
The Mobility House —München
- Vollzeit
- Datenbanken
- AWS
- Erfahrung in der IT
- Flexible Arbeitszeiten
Direkt bewerben
Platform Engineer - Neuraverse (human)
Neura Robotics —München
- Vollzeit
- AWS
- Scripting
- Python
Direkt bewerben
8 Tage
Deployment Engineer, EMEA
Cellebrite —München
- Vollzeit
- Azure
- DevOps
- Windows
Direkt bewerben

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cloud engineer jobs near unterhaching, by

AI Infrastructure Engineer

Google -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
100.000 € – 103.000 € pro Jahr
vor 12 Tagen

Qualifikationen

TensorFlow
Go
Cloud-Architektur
Informatik
MapReduce
Spark
Apache Hive
Java
C++
C
Bachelor
Machine Learning
Deep learning
Pig
Apache
Künstliche Intelligenz
Python
Hadoop

Vollständige Stellenbeschreibung

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Munich, Germany.

Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.
3 years of experience building machine learning solutions and working with technical customers.
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

Preferred qualifications:

Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).
Understanding of the auxiliary practical concerns in production machine learning systems.
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products.

In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €100000 - €103000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Be a trusted technical advisor to customers and solve complex machine learning challenges.
Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.
Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Erweiterte Suche

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(Senior) Software Engineer (m/f/d) BESS Tech Team

Platform Engineer - Neuraverse (human)

Deployment Engineer, EMEA

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