14 beste Stellen als machine learning engineer in berlin mitte, be – aktuell auf Personalsuche

Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- Master
- Flexible Arbeitszeiten
8 Std.
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
1 Tag
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
Senior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
2 Tage
Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
Direkt bewerben
Senior Data Engineer (m/f/d)
Eberlein Kunz —Berlin
- Vollzeit
- Azure
- Englisch
- SQL
- Flexible Arbeitszeiten
Direkt bewerben
20 Std.
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
4 Tage
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
3 Tage
GENAI PLATFORM ENGINEER (M/W/D)
Berlin, Düsseldorf, Hamburg, Hybrid, Köln, München —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
7 Tage
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
14 Tage
Data Engineer (d/m/w) (70/26)
Robert Koch-Institut —Berlin
- Bis zu 14 € pro Monat
- Informatik
- Englisch
- Master
- Gleitzeit
- Weiterbildungsprogramme
7 Std.

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Software Dev Engineer internship - Embedded Development
Amazon Web Services Development Center Germany GmbH - R28 —Berlin
Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically…
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Avaloq —Berlin
Strong database and data-modelling skills (Oracle and SQL/PL/SQL or equivalent), with a focus on correctness, performance and operability.
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machine learning engineer jobs near berlin mitte, be

Senior Applied Scientist, AWS Developer Tools Science

Amazon Web Services Development Center Germany GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 8 Stunden

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Doktorat
UNIX
Java
Master
AWS
C++
Softwareentwicklung
Cloud-Computing
S3
Linux
Künstliche Intelligenz
Wirtschaft
Python

Vollständige Stellenbeschreibung

DESCRIPTION

We are looking for a Sr. Applied Scientist who is passionate about building services and tools for developers that leverage generative artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.

As a Sr. Applied Scientist, you love designing, implementing, and evaluating machine learning solutions to difficult applied problems, and diving into complex data sources crawled from the web or internal logging tools. You are recognized for your expertise and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.

You actively participate in mindful discussions with customers, engineers, and scientist peers, and define the right modeling and component design approach and implement ML solutions to achieve the desired customer experience and scientific and business outcomes.

Key job responsibilities

Use Python and various open source libraries to develop and/or improve LLMs, AI agents and agentic tools for business applications
Own the technical quality of a product where modeling improvements can improve technical designs and drive value for other scientists and engineers
Understand the challenges that developers face when building cloud-based solutions, and develop generalizable solutions.
Collaborate with developers and pave the way towards bringing your solution into production systems. Participate in cross team projects and ensure technical blockers are resolved.
Communicate and document your research by writing internal documents, giving talks/demos, and striving to publish papers in external scientific venues.

A day in the life
Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

About AWS

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 start-ups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fuelled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

About the team
The Amazon Web Services (AWS) Developer Tools Science team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.

If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.

BASIC QUALIFICATIONS

Are enrolled in or have completed a PhD
Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

Experience using Unix/Linux
Experience in professional software development
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

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.

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GENAI PLATFORM ENGINEER (M/W/D)

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(Senior) Applied Scientist, Search

Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)

Data Engineer (d/m/w) (70/26)

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