20 beste Stellen als applied ai, senior/staff forward deployed machine learning engineer in münchen, by – aktuell auf Personalsuche

Generative AI Strategist, Generative AI Innovation Center
AWS EMEA SARL (Germany Branch) - H13 —München
- Vollzeit
- AWS
- Machine Learning
- Künstliche Intelligenz
Senior AI Controlling Specialist (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- ERP-Systeme
- Finanzwirtschaft
- Flexible Arbeitszeiten
Direkt bewerben
10 Std.
CE Learning and Development Senior Specialist (full-time, part-time possible: 75%+)
Boston Consulting Group —München
- Vollzeit
- Master
- Bachelor
- Wirtschaft
21 Std.
Analyst Analytics / AI Strategy (all genders)
Accenture —München
- Vollzeit
- Englisch
- Master
- Künstliche Intelligenz
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Intern Strategy & Executive Support - CTO Office (m/f/d)
Allianz —München
- Teilzeit
- Microsoft Powerpoint
- Englisch
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- Flexible Arbeitszeiten
12 Tage
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Moderna, Inc. —München
- Vollzeit
- Doktorat
- Datenanalyse
- Master
Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d)
AstraZeneca —München
- Doktorat
- Datenanalyse
- Forschungserfahrung
Senior Revenue Operations Manager (F/M/D)
NavVis —München
- Microsoft Excel
- Vertrieb
- Englisch
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Associate Director (m/f/d), Computational Pathology Biomarker Lead (Oncology/BioPharma)
AstraZeneca —München
- Doktorat
- Künstliche Intelligenz
- Python
- Aufstiegsmöglichkeiten
Customer Operations & Success Manager (m/f/d)
Omegga —München
- Vollzeit
- Mit Reiseanteil
- Produktion
Direkt bewerben
Facilities & Real Estate (m/f/d)
Applied Materials —Heimstetten
- 70.400 € – 96.800 € pro Jahr
- Vollzeit
- Englisch
- Master
- Analysefähigkeit
4 Tage
Industrial Ethernet SW architect
Analog Devices —München
- Vollzeit
- Informatik
- Master
- C++
Business Analyst, Sales Europe
Sandisk —München
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Vertrieb
- Finanzwirtschaft
Direkt bewerben
Master Thesis: Multimodal Knowledge and Reasoning for Biomedical Safety Applications
Cognitive Systems —München
- Master
- Machine Learning
- Python
1 Tag
Solutions Engineering, Architect
Synopsys —München
12 Tage
Working Student - Software Engineering (m/f/d)
Quantum-Systems GmbH —Gilching
- Informatik
- C++
- Machine Learning
- Flexible Arbeitszeiten
Direkt bewerben
13 Tage
Account Executive, Mid Market, EMEA
Harvey —München
- Vollzeit
- Finanzdienstleistungen
- Künstliche Intelligenz
Solutions Consultant - Power and Utilities (SME)
Cognite - AI for Industry —München
- Wartung
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Direkt bewerben
Account Executive, Enterprise
Harvey —München
- Vollzeit
- Künstliche Intelligenz
(Senior) Sales Manager SAP (w/m/d)
Applied International Informatics GmbH —München
- Per E-Mail
- Englisch
- Mit Reiseanteil
- Weiterbildungsprogramme
- Flexible Arbeitszeiten

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Generative AI Strategist, Generative AI Innovation Center

AWS EMEA SARL (Germany Branch) - H13 -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

AWS
Machine Learning
Virtualisierung
Cloud-Computing
S3
Künstliche Intelligenz

Vollständige Stellenbeschreibung

DESCRIPTION

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through the use of advanced and emerging technologies.
You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role.

Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Key job responsibilities

Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
Discuss complex industry-specific business concepts with executives, line managers and technologists
Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations
Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery
Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning

A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
Experience implementing AWS services in a variety of distributed computing environments

PREFERRED QUALIFICATIONS

Experience in IT implementation
Experience and technical expertise (design and implementation) in cloud computing technologies
Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Jetzt bewerben

Erweiterte Suche

applied ai, senior/staff forward deployed machine learning engineer Jobs in münchen, by

Generative AI Strategist, Generative AI Innovation Center

Senior AI Controlling Specialist (m/f/d)

CE Learning and Development Senior Specialist (full-time, part-time possible: 75%+)

Analyst Analytics / AI Strategy (all genders)

Intern Strategy & Executive Support - CTO Office (m/f/d)

National Market Access Lead (m/w/d)

Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d)

Senior Revenue Operations Manager (F/M/D)

Associate Director (m/f/d), Computational Pathology Biomarker Lead (Oncology/BioPharma)

Customer Operations & Success Manager (m/f/d)

Facilities & Real Estate (m/f/d)

Industrial Ethernet SW architect

Business Analyst, Sales Europe

Master Thesis: Multimodal Knowledge and Reasoning for Biomedical Safety Applications

Solutions Engineering, Architect

Working Student - Software Engineering (m/f/d)

Account Executive, Mid Market, EMEA

Solutions Consultant - Power and Utilities (SME)

Account Executive, Enterprise

(Senior) Sales Manager SAP (w/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als applied ai, senior/staff forward deployed machine learning engineer in münchen, by erhalten

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