20 beste Stellen als lead machine learning engineer in münchen – aktuell auf Personalsuche

AI Innovation Engineer, Google Cloud
Google —München
- 150.000 € – 154.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Java
1 Std.
Plasma Edge Transport Physicist
Proxima Fusion —München
- Vollzeit
- C++
- Python
Teamlead AI Engineering - RoboGym (human)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
Intern Enterprise AI Team
Proxima Fusion —München
- Vollzeit
- Homeoffice
- Master
- APIs
- Künstliche Intelligenz
Sales Development Representative (AI Startup)
Almetra —München
- 40.000 € – 50.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Vertrieb
- Produktion
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Head of Operations (f/m/d)
QuantumDiamonds GmbH —München
- Vollzeit
- Produktion
Direkt bewerben
Customer Support Engineer
Mercura —München
- Vollzeit
- Unternehmensentwicklung
- APIs
- Python
Direkt bewerben
Senior Data Engineer (F/M/D)
Animore —München
- Vollzeit
- Englisch
- AWS
- Python
Direkt bewerben
Alpha Plasma Microwave Modeler
Proxima Fusion —München
- Vollzeit
- Doktorat
- Datenanalyse
- C++
14 Tage
Burning Plasma Physicist
Proxima Fusion —München
- Vollzeit
- C++
- Python
Teamlead AI Engineering - RoboGym (Mensch)
Neura Robotics —München
- Vollzeit
- Azure
- Informatik
- Englisch
Direkt bewerben
10 Tage
AI / ML Lead Consultant (m/w/d)
Devoteam G Cloud Germany —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
Direkt bewerben
Stellarator Systems Architect
Proxima Fusion —München
- Vollzeit
- Doktorat
- Master
6 Tage
Product Manager (m/f/d) autonomous Robotics Solutions
autonomous-teaming —München
- Vollzeit
- Informatik
- Projektmanagement
- Führungserfahrung
Direkt bewerben
1 Tag
Account Executive
Almetra —München
- 70.000 € – 90.000 € pro Jahr
- Vollzeit
- Homeoffice
- CRM-Software
- Vertrieb
- Produktion
- Flexible Arbeitszeiten
Senior Software Engineer (Dev Platform)
Proxima Fusion —München
- Vollzeit
- DevOps
- Linux
- Python
Founding People & Talent Lead
Mercura —München
- Vollzeit
- Unternehmensentwicklung
- Künstliche Intelligenz
Direkt bewerben
Nuclear Design Safety Engineer
Proxima Fusion —München
- Vollzeit
- Python
ASIC Digital Design, Principal Engineer
Synopsys —München
- Scripting
- Python
Senior Product Owner & Business Analyst (all genders)
Lucanet Group —München
- Homeoffice
- Agile
- Softwareentwicklungszyklus
13 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning engineer in münchen erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

lead machine learning engineer jobs near münchen

AI Innovation Engineer, Google Cloud

Google -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
150.000 € – 154.000 € pro Jahr
vor 1 Stunde

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.

Jetzt bewerben

Erweiterte Suche

lead machine learning engineer Jobs in münchen

AI Innovation Engineer, Google Cloud

Plasma Edge Transport Physicist

Teamlead AI Engineering - RoboGym (human)

Intern Enterprise AI Team

Sales Development Representative (AI Startup)

Head of Operations (f/m/d)

Customer Support Engineer

Senior Data Engineer (F/M/D)

Alpha Plasma Microwave Modeler

Burning Plasma Physicist

Teamlead AI Engineering - RoboGym (Mensch)

AI / ML Lead Consultant (m/w/d)

Stellarator Systems Architect

Product Manager (m/f/d) autonomous Robotics Solutions

Account Executive

Senior Software Engineer (Dev Platform)

Founding People & Talent Lead

Nuclear Design Safety Engineer

ASIC Digital Design, Principal Engineer

Senior Product Owner & Business Analyst (all genders)

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning engineer in münchen erhalten

Related Searches

Weitere Job-Standorte erkunden

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt