20 beste Stellen als ai innovation engineer, deutsche borse group, google cloud in münchen, by – aktuell auf Personalsuche

AI Innovation Engineer, Deutsche Borse Group, Google Cloud
Google —München
- 150.000 € – 154.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Java
17 Std.
Data Architect, Deutsche Borse Delivery Team, Google Cloud
Google —München
- 148.000 € – 152.000 € pro Jahr
- Vollzeit
- Datenbanken
- Bachelor
- Machine Learning
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Google Cloud AI Engineer (all genders)
Accenture —München
- Vollzeit
- Azure
- Englisch
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AI Systems Engineer (m/f/d)
welevel GmbH —München
- Vollzeit
- DevOps
- APIs
- Künstliche Intelligenz
- Umzugskostenzuschuss
13 Tage
GenAI / Agentic AI Engineer (all genders)
Accenture —München
- Vollzeit
- Azure
- Informatik
- Englisch
AI Engineer (w/m/x) Germany
Avanade —München
- Azure
- Englisch
- Analysefähigkeit
Applied AI Engineer Intern (all genders)
revel8 —München
- Vollzeit
- Künstliche Intelligenz
- Python
Direkt bewerben
6 Tage
Applied AI, Forward Deployed Machine Learning Engineer - Munich
Mistral AI —München
- Vollzeit
- Master
- Machine Learning
- APIs
6 Tage
AI & Innovation Senior Engineer
The Exploration Company —München
- Vollzeit
- Azure
- ERP-Systeme
- AWS
- Umzugskostenzuschuss
Machine Learning Engineer (M/W/D)
PAYBACK GmbH —München
- Englisch
- Analysefähigkeit
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- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Computer Vision Engineer – Object Detection (m/w/d)
autonomous-teaming —München
- Vollzeit
- Python
Direkt bewerben
Senior AI Engineer (Forward Deployed) (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Master
- Bachelor
Contamination Control Engineer (m/w/d) for semiconductor industry
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Mit Reiseanteil
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Senior AI Engineer - Human-Like Behaviour (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
6 Std.
MLOps Engineer – Azure & AI/ML Platforms (m/f/d)
KI group GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Datenbanken
- Bachelor
JUNIOR AI-DRIVEN PLATFORM ENGINEER (M/W/D)
Düsseldorf, Köln —München
- Hybrides Arbeiten
- Informatik
- Azure
- Informatik
- Weiterbildungsprogramme
Senior Applied AI / ML Data Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
6 Std.
Senior AI ADAS Engineer (f/m/x)
BMW —München
- Vollzeit
- Datenanalyse
- Forschungserfahrung
- C++
- Flexible Arbeitszeiten
6 Std.
(JUNIOR) DATA & AI CONSULTANT (M/W/D)
München —München
- Hybrides Arbeiten
- Englisch
- Künstliche Intelligenz
- Python
- Weiterbildungsprogramme
Validation Engineer - Multi-Agent AI Systems (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Java
- C++
- Flexible Arbeitszeiten
6 Std.

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ai innovation engineer, deutsche borse group, google cloud jobs near münchen, by

AI Innovation Engineer, Deutsche Borse Group, Google Cloud

Google -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
150.000 € – 154.000 € pro Jahr
vor 17 Stunden

Qualifikationen

CI/CD
Datenmodellierung
Go
Informatik
DevOps
NoSQL
Java
Datenbanken
Bachelor
Machine Learning
Terraform
Deep learning
Künstliche Intelligenz
Erfahrung im Bankwesen
Python
Design Patterns

Vollständige Stellenbeschreibung

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

Minimum qualifications:

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
7 years of experience in software or data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns, testing frameworks, and API contract design.
Experience using machine learning methodologies (deep learning, reinforced learning), model identification, selection and AI operations (e.g., model monitoring).
Experience using Generative AI and agentic orchestration utilizing frameworks (e.g., LangChain, CrewAI, or Vertex AI Agent Builder) and vector databases.

Preferred qualifications:

Experience in financial services, and with the regulatory and operational clearing, settlement, or custody.
Experience with FSI regulatory practices and data residency, encryption at rest/transit (CMEK), and "explainable AI" requirements in banking.
Experience with data modeling of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
Experience in BigQuery, Vertex AI, Dataflow, and Pub/Sub with an ability to drive the discovery phase, moving from a vague business problem to a structured product requirement document (PRD) and a working technical demo.
Experience working in a high-maturity DevOps culture (e.g., trunk-based development, automated testing, blue/green deployments).

About the job

In this role, you will accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred choice for customers by delivering the highest-value, industry relevant solutions.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: €150000 - €154000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Design and build autonomous agentic workflows utilizing machine learning and generative AI technologies as part of a fully autonomous or human-in-the-loop agentic workflow.
Partner with client leads(business user) to identify high-impact AI use cases. Translate these into product requirement documents (PRDs), clearly defining critical user journeys (CUJs) and success metrics.
Evaluate and integrate AI solutions with modern data foundations, including relational databases, data lake houses, and real-time streaming architectures.
Ensure all prototypes are built with a "production-first" mindset. Implement basic CI/CD pipelines and utilize infrastructure-as-code (IaC) (e.g., Terraform) to ensure environments are reproducible and secure.
Create clear technical guides to ensure a seamless hand-off from POC to engineering teams.

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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