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

Machine Learning Engineer
super.AI —Berlin
- Vollzeit
- Azure
- AWS
- Machine Learning
Direkt bewerben
Senior Machine Learning Engineer (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Java
- AWS
- Umzugskostenzuschuss
Senior Machine Learning Engineer (m/f/d)
Quantum-Systems GmbH —Berlin
- Vollzeit
- Azure
- Informatik
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
8 Tage
Machine Learning Engineer (f/m/d)
Nia Health GmbH —Berlin-Kreuzberg
- Vollzeit
- Informatik
- Master
- Bachelor
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
Senior/Staff Machine Learning Engineer
Vestiaire Collective —Berlin
- Hybrides Arbeiten
- Microsoft Excel
- Azure
- Datenbanken
Direkt bewerben
Machine Learning Scientist
Nucs AI —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Senior Machine Learning Engineer (ASR) (all)
Sonia —Berlin
- Vollzeit
- Informatik
- Master
- Machine Learning
Direkt bewerben
Foundation and generative models for biomolecules
Inceptive —Berlin
- 200.000 € – 275.000 € pro Jahr
- Doktorat
- Informatik
- Forschungserfahrung
Machine Learning Engineer
Almedia —Berlin
- 80.000 € – 210.000 € pro Jahr
- Vollzeit
- Machine Learning
- Python
Senior Machine Learning Engineer I
Sumup —Berlin
- Azure
- Informatik
- Wartung
- Umzugskostenzuschuss
- Empfehlungsprogramm
4 Tage
Senior Machine Learning Engineer, AI Platform
Smartly.io —Berlin
- Feiertagsarbeit
- Java
- Master
- AWS
AI Engineer (f/m/d) — Applied AI & Machine Learning
Lampenwelt GmbH —Berlin
- Master
- SQL
- Machine Learning
11 Tage
Forward Deployed Engineer (all genders)
EXXETA —Berlin
- Englisch
- Master
- Machine Learning
- Homeoffice-Möglichkeit
Machine Learning Engineer
Remerge —Berlin
- Vollzeit
- Machine Learning
- Python
- Homeoffice-Möglichkeit
Direkt bewerben
Data Engineer, Fraud
Xcelirate —Berlin
- 98.000 € pro Jahr
- Vollzeit
- Homeoffice
- Datenbanken
- Bachelor
- Machine Learning
Direkt bewerben
AI Engineer
Kuro Technology —Berlin
- 80.000 € – 120.000 € pro Jahr
- Vollzeit
- Azure
- Master
- AWS
Direkt bewerben
AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
AI & Machine Learning Engineer (all genders)
msg systems ag —Berlin
- Online-Bewerbung
- Azure
- Englisch
- Master
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
AI Engineer (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
(JUNIOR) MACHINE LEARNING ENGINEER (M/W/D)
Gütersloh —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme

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Machine Learning Engineer

super.AI
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Azure
Kubernetes
Google Cloud Platform
AWS
Docker
Machine Learning
Verteilte Systeme
REST
Softwareentwicklung
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Our mission

Imagine yourself building the next breakthrough AI/Machine-Learning technology, enabling "AI for everyone" at the start of the company's explosive growth.

Super.AI is used by global enterprises across all industries, from banks, logistics, and insurance companies to Testing, Inspection, and certification (TIC) or retail companies. Super.AI has created the world’s most advanced AI automation platform to extract data from any document with guaranteed quality. We enable companies to leverage the latest AI models, including. LLMs, and super.AI Data Processing Crowd for human-in-the-loop (HITL) review to automate business processes end-to-end with guaranteed results.

Your profile

What you'll do:

Measure and ensure the high-quality output of AI workloads for our enterprise customers.
Deploy and manage production workloads for a global customer base.
Write, rewrite, and extend Python code, and deploy it to containers (e.g., Docker).
Conduct local testing using tools like Jupyter Notebook.
Integrate AI cloud solutions and adapt them to our large-scale use cases.
Perform prompt engineering for customer use cases.
Fine-tune and deploy Large Language Models (LLMs).
Develop software that scales to meet the demands of high-load customer workloads.

What we are looking for:

Smart, humble, hardworking, and collaborative
- By smart we don't necessarily mean high IQ (although a huge plus), but an affinity toward learning. We want to automate as much as possible so we can focus on the few things that require human intelligence and creativity.
- By humble we don't mean submissive or unambitious, we mean it in the same way Roger Federer is humble.
- By hardworking, we don't mean long hours (be with your family). What we mean is while you're here you're doing the best work of your life. It means being disciplined, professional, focused, gritty, resilient, and resourceful.
- By collaborative, we don't mean submissive or deferential, it means taking leadership from everywhere. "I'm taking responsibility to fix this system", if there's a lack of trust "I'm going to address it" if goals are unclear "I'm going to deal with it", it's about being a meritocracy
- All four of the above are required. We all know people missing one of these and it's not nice to work with them (e.g. someone who is smart and hardworking but not humble and collaborative).
Paradoxical
- The people we like the most are smart but humble
- Wants to win no matter what, but will not cross lines of integrity to get there
- Strong beliefs weakly held, etc.

Your Experience:

3-5 years of professional experience in software development.
Proven ability to work backwards from customer needs to deliver AI-based features that meet those needs.
Ability to organize and prioritize competing workloads.
Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP).
Solid understanding of machine learning principles.
Experience with container frameworks such as Docker or Kubernetes.
Proficiency in using REST APIs.

If this resonates with you, it would be amazing to get to know each other.

Why us?

At super.AI our mission is to make AI accessible to all and use AI to enrich the human experience and make the world a better place. We are a group of smart, creative people who have come together from MIT, Microsoft Research, AWS, Google, and Apple to work toward that mission. As a first step towards that goal, we have built an AI platform to help businesses make sense of unstructured data. Our culture is collaborative and fun that puts customers first.

About us

We believe AI is going to be the most impactful technology ever invented. It may be the last technology we ever needed to invent as humans. We don’t want it to be in the hands of the few, but the hands of the many. Our technology promises to transform the way AI is created and consumed to make this vision possible.
We are searching for the best-of-the-best to build a massive company, but at the same time a company where people are happy with their lives, feel healthy, passionate and satisfied.
We're at an inflection point, so you will have the opportunity to shape things and see the company grow
Although super.AI is young, this is not our first rodeo: our CEO previously founded a few hundred person company, and between us we've held senior positions at Google, Amazon, Adobe, Microsoft, Docusign and others

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in berlin mitte, be

Machine Learning Engineer

Senior Machine Learning Engineer (all genders)

Senior Machine Learning Engineer (m/f/d)

Machine Learning Engineer (f/m/d)

Senior/Staff Machine Learning Engineer

Machine Learning Scientist

Senior Machine Learning Engineer (ASR) (all)

Foundation and generative models for biomolecules

Machine Learning Engineer

Senior Machine Learning Engineer I

Senior Machine Learning Engineer, AI Platform

AI Engineer (f/m/d) — Applied AI & Machine Learning

Forward Deployed Engineer (all genders)

Machine Learning Engineer

Data Engineer, Fraud

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AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI

AI & Machine Learning Engineer (all genders)

AI Engineer (m/f/d)

(JUNIOR) MACHINE LEARNING ENGINEER (M/W/D)

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