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

Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Doktorat
- Informatik
Business Development Lead - Media Buyers (m/f/d)
Kayzen —Berlin
- Homeoffice
- Schreibfähigkeiten
- Reden in der Öffentlichkeit
- Englisch
Direkt bewerben
LEAD CONSULTANT DIGITAL TRANSFORMATION & AI INNOVATION (M/W/D)
München —Berlin
- Hybrides Arbeiten
- Englisch
- Machine Learning
- Künstliche Intelligenz
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Product Owner Commercial & New Products
Learnfield GmbH —Berlin
- Vollzeit
- Produktmanagement
- Psychologie
Direkt bewerben
Applied Scientist, Amazon Music - DISCO, Music DISCO
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
Lead Backend Engineer (all genders)
ABOUT YOU SE & Co. KG —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
Senior Solutions Engineer - Forward Deployed Agentic Engineer (f/m/d) Remote Europe
Otera —Berlin
- Vollzeit
- Homeoffice
- Azure
- Master
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Product Engineer (m/f/d)
Stackgini —Berlin
- Azure
- Master
- AWS
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
Senior Specialist, Product Operations (Consumer Search & Discovery)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Softwareentwicklung
- Agile
Direkt bewerben
Robotics Engineer
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Staff ML Research Scientist (m/f/d)
adjoe —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Python
Direkt bewerben
Tech Lead ML & Data - Retail Banking (m/w/d)
Deutsche Kreditbank AG —Berlin
- Vollzeit
- Informatik
- AWS
- Künstliche Intelligenz
Senior AI Engineer
Bluefish AI —Berlin
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
- Führungserfahrung
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
Head of Strategy and Operations — Partnerships
GetYourGuide —Berlin
- Hybrides Arbeiten
- Führungserfahrung
- Homeoffice-Möglichkeit
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
9 Tage
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
8 Tage
ML Ops / Data Engineer - Robotics
Sensmore —Berlin
- Vollzeit
- Azure
- SQL
- AWS
Direkt bewerben
Data Product Manager, Dynamic Assortment - (Quick Commerce)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Merchandising
- SQL
Direkt bewerben

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Senior Software Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company -
Berlin

Jetzt bewerben

Details zur Stelle

Berufsausbildung

Qualifikationen

CI/CD
Azure
Node.js
Doktorat
Informatik
React
C#
Testautomatisierung
NoSQL
Google Cloud Platform
.NET
Java
Master
Anwendungsentwicklung
Datenbanken
AWS
Docker
Machine Learning
JavaScript
Angular
Softwareentwicklung
Agile
Künstliche Intelligenz
TypeScript
Spring
Design Patterns

Vollständige Stellenbeschreibung

Job ID: 109090

Berlin

Cologne

Dusseldorf

Frankfurt

Hamburg

Munich

Stuttgart

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will lead architecture design, drive technology decisions, and co-create innovative products while mentoring clients to adopt Agile practices and engineering excellence.

You will have hands-on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader.

You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co-create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user-centric solutions.

Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology.

You will design and deliver next-generation products that transform businesses across industries. Based in one of our global locations, you will be part of QuantumBlack, AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry-shaping products and tools.

You will have unparalleled opportunities for growth and innovation. You’ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you’ll make a lasting impact on clients, industries, and the future of technology.#LI-MP

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Bachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence

7+ years of experience in software development, with significant full-stack web application development experience strongly preferred

Experience working collaboratively with technical and non-technical team members and stakeholders

Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)

Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD

Strong focus on automated testing, logging, monitoring, and overall system reliability

Experience modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness

Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Strong communication skills, both verbal and written, in German and English, with the ability to adjust your style to suit different perspectives and seniority levels

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Jetzt bewerben

Erweiterte Suche

team lead machine learning Jobs in berlin

Senior Software Engineer - QuantumBlack, AI by McKinsey

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

LEAD CONSULTANT DIGITAL TRANSFORMATION & AI INNOVATION (M/W/D)

Product Owner Commercial & New Products

Applied Scientist, Amazon Music - DISCO, Music DISCO

Lead Backend Engineer (all genders)

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

Product Engineer (m/f/d)

Senior Forward Deployed Engineer

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

Senior Specialist, Product Operations (Consumer Search & Discovery)

Robotics Engineer

Staff ML Research Scientist (m/f/d)

Tech Lead ML & Data - Retail Banking (m/w/d)

Senior AI Engineer

Senior Staff Customer Engineer – Automotive AI

Head of Strategy and Operations — Partnerships

Senior AI Security Engineer (f/w/d)

ML Ops / Data Engineer - Robotics

Data Product Manager, Dynamic Assortment - (Quick Commerce)

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

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