20 beste Stellen als team lead machine learning in berlin – aktuell auf Personalsuche

Product Manager (Mobile Apps/AI) (m/f/d)
MindDoc Health GmbH —Berlin
- Vollzeit
- Master
- Machine Learning
- Agile
Medical Lead
dehaze GmbH —Berlin
- Hybrides Arbeiten
- Forschungserfahrung
- Künstliche Intelligenz
Direkt bewerben
Senior Data Scientist (f/m/d)
PAIR Finance GmbH —Berlin
- 76.000 € – 103.500 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Schreibfähigkeiten
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
7 Tage
Head of AI
SKD SE —Berlin
- Vollzeit
- Künstliche Intelligenz
Senior Data Scientist (all genders)
JustPlay GmbH —Berlin
- Vollzeit
- Homeoffice
- SQL
- AWS
- Projektmanagement
- Umzugskostenzuschuss
- Flexible Arbeitszeiten
Direkt bewerben
Staff AI Engineer
Bluefish AI —Berlin
- Bereitschaftsdienst
- Systemdesign
- Master
- Machine Learning
(Senior) Manager, Fintech Fraud Operations
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Datenanalyse
- SQL
Direkt bewerben
Lead Kernel Engineer/Architect (m/f/d)
EPAM Systems, Inc. —Berlin
- Hybrides Arbeiten
- C++
- Bachelor
- Ohne Hochschulabschluss
Business Development Lead - Media Buyers (m/f/d)
Kayzen —Berlin
- Homeoffice
- Schreibfähigkeiten
- Reden in der Öffentlichkeit
- Englisch
Direkt bewerben
Senior Software Engineer (m/f/d)
Sonova —Berlin
- Azure
- DevOps
- Master
Product Owner Commercial & New Products
Learnfield GmbH —Berlin
- Vollzeit
- Produktmanagement
- Psychologie
Direkt bewerben
Head of Strategy and Operations — Partnerships
GetYourGuide —Berlin
- Hybrides Arbeiten
- Führungserfahrung
- Homeoffice-Möglichkeit
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
13 Tage
Lead Backend Engineer (all genders)
ABOUT YOU SE & Co. KG —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Doktorat
- Informatik
Senior AI Security Engineer (f/w/d)
PAIR Finance GmbH —Berlin
- 72.000 € – 87.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Master
- Machine Learning
- Flexible Arbeitszeiten
Direkt bewerben
12 Tage
Principal HPC Network Engineer (remote in the EU)
Mirantis —Berlin
- 90.000 € – 105.000 € pro Jahr
- Vollzeit
- Homeoffice
- AWS
- Machine Learning
- Scripting
Direkt bewerben
13 Tage
Senior Solutions Engineer German Speaker - Forward Deployed Agentic Engineer (f/m/d) Remote Europe
Otera —Berlin
- Vollzeit
- Homeoffice
- Azure
- Master
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Forward Deployed Engineer
Taktile —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- SQL
- AWS
AI & Analytics Advisory Senior Manager – Agentic AI (all genders)
Accenture —Berlin
- Vollzeit
- Azure
- Künstliche Intelligenz
Applied Scientist, Amazon Music - DISCO, Music DISCO
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java

Ich möchte aktuelle Job-E-Mails für Stellen als team lead machine learning in berlin 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

team lead machine learning jobs near berlin

Product Manager (Mobile Apps/AI) (m/f/d)

MindDoc Health GmbH
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master
Machine Learning
UX
Agile
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Since the foundation in 2017, MindDoc has developed into Germany's leading provider of video-based psychotherapy.

In addition to video-based psychotherapy, MindDoc also operates a mental health app that has been downloaded onto smartphones by over three million people worldwide.

With our customised offer, we encourage people to take their mental health into their own hands. We make help and support easily accessible. Anytime, anywhere and for everyone.

You can expect a warm and committed team with a start-up mentality, who together and with great passion will do everything they can to raise awareness of video-based psychotherapy and the digital health application and achieve our company goals.

Join the MindDoc team and make psychotherapy and digital health applications easier and more accessible for more people!

The Role:
We are looking for a Product Manager to help shape the next generation of AI-powered features in our mobile app. You will own capabilities that power the app experience, from conversational features and adaptive onboarding to content personalisation and recommendation. The role is hands-on, app-focused, and rooted in user value, turning modern AI tooling into product experiences that feel intuitive, trustworthy, and genuinely useful.

As a Product Manager (Mobile Apps/AI) (m,f,d) at MindDoc you...

Partner closely with the Product Lead and senior stakeholders to align your roadmap with the wider product strategy, while retaining ownership of your dedicated workstreams.
Drive measurable impact in core areas of the app experience, including conversational features, adaptive onboarding, content personalisation, and emerging AI-powered surfaces.
Own the full lifecycle of AI initiatives, from problem framing and discovery through to vendor coordination, evaluation, production launch, and iteration.
Act as the bridge between the stakeholders working on AI and our product, design, content, BI, and marketing teams, ensuring that models address real user needs and translate into clear app experiences.
Balance day-to-day delivery with longer-term investment, maintaining a healthy mix of new feature launches and the reliability, safety, and quality standards expected of our product.
Contribute to shared frameworks, prompt libraries, evaluation guidelines, and content blueprints that allow other teams to adopt AI capabilities safely and consistently.

You…

Have 2+ years of experience as a Product Manager in a technology-driven environment, with a clear track record of shipping mobile and/or app-based products powered by AI, LLMs, or Machine Learning.
Have experience operating in a regulated or high-trust domain such as health, fintech, insurance, or public services is a strong plus.
Have strong sense of mobile product design and user experience, with attention to flows, friction, and the details that make a feature feel right inside an app.
Have a solid understanding of AI fundamentals, including a clear sense of when to use Large Language Models versus traditional ML approaches such as classification, clustering, or recommendation models.
Have an AI product fluency: familiarity with prompt design, evaluation methods, conversation flow design, retrieval pipelines, and the practicalities of working with third-party LLM providers and vendors.
Have a Data-driven mindset: comfort working with complex datasets and the ability to define and track the right KPIs to measure model performance, user impact, and business value.
Have experience working within an agile environment and a proven ability to coordinate multiple stakeholders across UX, engineering, content, BI, and marketing.
Have ability to translate technical concepts into clear, actionable updates for non-technical partners, bridging product, data, and business.
Regulatory awareness: Familiarity with data protection and high-trust product contexts is appreciated.

Traits

User empathy: You care deeply about the people who use our product and bring that perspective into every decision.
Team player: You enjoy collaborative environments where you both learn from peers and share your own expertise generously.
Innovation: You stay current on the AI landscape and actively look for ways to translate new capabilities into useful, responsible product experiences.
Pragmatism: You have a bias for action and know how to prioritise the most impactful work in a fast-moving environment.
Reliability: You take pride in the quality, safety, and resilience of what you ship.

You can expect...

First and most important for us: A meaningful job. Digitizing mental health and helping thousands of people daily is not easy, but when it works it is incredibly meaningful
A carefully crafted balance between a digital health startup with flat hierarchies, a self-dependent way of working, clear-cut communication, and speed on the one hand and a strong, stable and family-owned hospital group as our 100% shareholder on the other hand provides a unique combination of innovation and flexibility + a stable and safe job
30 days of vacation
Work remotely, come to the office in Berlin or Munich whenever you want
Sponsored lunch
VIP treatment in Schön Klinik's portfolio, pension plan, and child care
Company bike lease options
Employee discounts with more than 600 different brands
EGYM Wellpass

We look forward to receiving your application and getting to know you!

Our job advertisements are open to all suitable candidates (m/f/d) regardless of the characteristics listed in § 1 AGG (gender, age, disability, religion, ideologies, ethnic origin or sexual identity).

Jetzt bewerben

Erweiterte Suche

team lead machine learning Jobs in berlin

Product Manager (Mobile Apps/AI) (m/f/d)

Medical Lead

Senior Data Scientist (f/m/d)

Head of AI

Senior Data Scientist (all genders)

Staff AI Engineer

(Senior) Manager, Fintech Fraud Operations

Lead Kernel Engineer/Architect (m/f/d)

Business Development Lead - Media Buyers (m/f/d)

Senior Software Engineer (m/f/d)

Product Owner Commercial & New Products

Head of Strategy and Operations — Partnerships

Lead Backend Engineer (all genders)

Senior Software Engineer - QuantumBlack, AI by McKinsey

Senior AI Security Engineer (f/w/d)

Principal HPC Network Engineer (remote in the EU)

Senior Solutions Engineer German Speaker - Forward Deployed Agentic Engineer (f/m/d) Remote Europe

Senior Forward Deployed Engineer

AI & Analytics Advisory Senior Manager – Agentic AI (all genders)

Applied Scientist, Amazon Music - DISCO, Music DISCO

Ich möchte aktuelle Job-E-Mails für Stellen als team lead machine learning in berlin erhalten

Related Searches

Weitere Job-Standorte erkunden

As a Product Manager (Mobile Apps/AI) (m,f,d) at MindDoc you...

You…

You can expect...

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt