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(senior) ai & generative ai engineer (all genders) Jobs in Berlin

senior ai generative ai engineer all genders

MHP – A Porsche Company

<div>
 
 Aufgaben
 
 
 
 Du begeisterst dich f&uuml;r innovative Technologien und Generative AI? Du m&ouml;chtest nicht nur Architekturen entwerfen, sondern KI-L&ouml;sungen produktiv machen, skalierbare Systeme bauen und Kunden bei der Integration moderner AI unterst&uuml;tzen? Dann werde Teil unseres Teams und gestalte mit uns die Zukunft von KI-gest&uuml;tzten Architekturen, Anwendungen und Workflows.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
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 Entwurf skalierbarer KI-Architekturen: Entwicklung von performanten Architekturen und Integration von ML- und GenAI-Modellen in Kundenumgebungen (z.  SAP, CRM, Microservices)
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 Implementierung von Pipelines &amp; Workflows: Aufbau skalierbarer Daten- und AI-Architekturen, Integration in bestehende Pipelines, (Weiter)Entwicklung von XOps-L&ouml;sungen
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 Backend-Services &amp; Systemintegration: Entwicklung performanter Services zur Integration von Modellen in produktive Workflows und Sicherstellung reibungsloser &Uuml;berg&auml;nge zwischen Training, Deployment und Anwendung
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 Deployment, Monitoring &amp; Optimierung: Umsetzung von Prototypen und MVPs in Cloud-Umgebungen, Performance-Optimierung und Sicherstellung von Skalierbarkeit und Security
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 Identifikation von Use Cases: Analyse von Gesch&auml;ftsprozessen, Erkennung von Potenzialen f&uuml;r GenAI und Ableitung technischer L&ouml;sungen
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 Projekt- und Stakeholdermanagement: Moderation von Workshops, enge Abstimmung mit interdisziplin&auml;ren Teams, internationalen Projektpartnern und Kunden
 
 
 
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 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
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 Abgeschlossenes Studium in Informatik, Software Engineering, Data Science oder einem vergleichbaren Bereich mit mindestens 4 Jahren Berufserfahrung idealerweise im Consulting- und (Gen)AI-Umfeld
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 Leidenschaft f&uuml;r AI &amp; Generative AI, skalierbare Systeme, Cloud-Technologien und den Aufbau performanter AI-Infrastrukturen
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 Expertise in Python, ML, LLMs, RAG, Cloud-Umgebungen (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
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 Kenntnisse in Softwarearchitektur, Cloud-native Design, MLOps und AI Security
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 Deine Arbeitsweise ist gepr&auml;gt von Eigenverantwortung, Zielorientierung, Teamf&auml;higkeit und Hands-on-Mentalit&auml;t
 
 
 
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 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
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 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
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 Arbeitszeit:
 
 in Vollzeit (40h) und/oder Teilzeit m&ouml;glich; 30 Urlaubstage
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 Arbeitsverh&auml;ltnis:
 
 Unbefristet
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 Bereich: Consulting
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 Sprache:
 
 sicheres Deutsch &amp; Englisch
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 Flexibilit&auml;t &amp; Reisebereitschaft
 
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 Sonstiges:
 
 eine g&uuml;ltige Arbeitserlaubnis; bei Bedarf k&ouml;nnen wir die Arbeitserlaubnis im Rahmen unseres Recruiting-Prozesses beantragen. Das Verfahren ben&ouml;tigt Zeit und hat Einfluss auf das Startdatum
 </li>
 </ul>
</div>

(Senior) AI & Generative AI Engineer (all genders)

Code Compass 🧭

<div>
 
 🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 
 
 
 
 
 📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 
 
 
 
 
 Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 
 
 
 
 
 Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 
 
 
 
 
 This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 
 
 
 
 
 ⚙️ Tech Stack:
 
 
 Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 
 
 
 
 
 🚀 About the Role:
 
 
 
 
 <ul>
 <li>
 As a Machine Learning Engineer, you will:
 </li>
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 Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
 </li>
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 Build and deploy scalable ML solutions into production environments
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 Design automation solutions that reduce manual effort and improve operational efficiency
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 Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
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 Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
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 Research emerging technologies and rapidly evaluate their suitability for business applications
 </li>
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 Contribute to the evolution of production-grade machine learning infrastructure and workflows
 </li>
 </ul>
 
 
 
 
 ➕ Nice to Have:
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience within machine learning and computer vision
 </li>
 <li>
 Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
 </li>
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 Practical experience working with generative AI technologies including diffusion models and GANs
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 Understanding of ML deployment, scalability, performance optimisation, and production environments
 </li>
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 Experience with Docker and cloud-based infrastructure
 </li>
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 Knowledge of creative AI tools and visual content workflows
 </li>
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 Experience working with image-based products, digital content platforms, or related industries
 </li>
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 Strong analytical thinking combined with a pragmatic, solution-oriented mindset
 </li>
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 Ability to communicate effectively in an international and cross-functional environment
 </li>
 </ul>
 
 
 
 
 💪 Benefits:
 
 
 
 
 <ul>
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 Opportunity to work on cutting-edge AI and machine learning technologies
 </li>
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 Highly collaborative and innovative working environment
 </li>
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 Flexible working arrangements with hybrid options
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 Exposure to challenging technical problems with real-world impact
 </li>
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 Professional development support, training, and continuous learning opportunities
 </li>
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 Modern working environment with strong team culture and regular social activities
 </li>
 </ul>
 
 
 
 
 
 ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
 
 
</div>

Machine Learning Engineer

Delivery Hero

<div>Company Description 
As the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe&rsquo;s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. 
Job Description 
We are looking for a Staff Security Engineer (all genders) to join our Product Security team on our journey to always deliver amazing experiences.
We are looking for a pragmatic, high-impact individual contributor to join our Product Security team as a Staff Product Security Engineer (IC4). In this pivotal role, you will drive the overarching technical strategy for application security, ensuring we reduce real-world risk across our entire product landscape without slowing down engineering velocity.
You will champion a &quot;Secure by Design&quot; philosophy, moving away from reactive auditing and security gatekeeping. Instead, you will treat security as a collaborative engineering challenge, designing the automated guardrails, developer tooling, and technical frameworks that enable our engineering teams to scale rapidly and securely by default. As a Staff-level individual contributor, your leadership will extend beyond the immediate product boundaries and you will achieve domain-wide impact by seamlessly bridging the gap between Application Security, AI/ML security, Infrastructure Security, and Security Operations.
Your mission:<ul><li>
Drive Product Security Maturity: Drive the strategic technical roadmap for the Product Security team, ensuring threat-modeling methodologies and secure coding practices scale efficiently across our global web and mobile application ecosystem.</li><li>
Lead Threat Modeling &amp; Security Architecture Reviews: Apply your expertise to identify complex security design flaws early in the Software Development Life Cycle (SDLC) using frameworks and automation tools, co-authoring architectural blueprints that are secure by default.</li><li>
Scale Vulnerability Management &amp; Governance: Architect and run our vulnerability management program at scale. You will ingest inputs from internal testing, automated tooling, and external Bug Bounty / Vulnerability Disclosure Programs, systematically validating and ranking vulnerabilities based on actual business risk.</li><li>
Master Stakeholder Management: Translate complex software and AI-related vulnerabilities into clear, actionable business risks, partnering closely with engineering leadership and product verticals to drive timely remediation without friction. systematically tracking and optimizing metrics such as Mean Time to Remediate (MTTR) and SLA Adherence % to elevate our overall security posture.</li><li>
Automate DevSecOps &amp; CI/CD Pipelines: Replace manual gates with seamless DevSecOps workflows, embedding automated security testing tools (SAST, DAST, SCA) directly into developer pipelines to catch high-risk flaws early.</li><li>
Pioneer AI-Driven Security Automation: Champion the adoption of artificial intelligence and LLMs to revolutionize our security workflows. You will design and implement cutting-edge AI-powered code security automation, leverage AI for automated vulnerability triage, and build smart security automation guardrails that scale engineering productivity.</li><li>
Cross-Domain Collaboration &amp; CSPM Management: Drive domain-wide impact by collaborating with Infrastructure Security to leverage Cloud Security Posture Management (CSPM) platforms, ensuring that application vulnerabilities are contextualized with cloud risk. Partner with Security Operations (Detection &amp; Response) to ensure proper application logging, alerting, and incident readiness.</li><li>
Mentor and Inspire: Act as a technical beacon within the security and engineering organizations. Define key security metrics, drive a strong security culture, and mentor junior and senior engineers to foster a world-class community of Security Champions</li></ul> 
Qualifications<ul><li> 
Proven Engineering Leadership: A strong track record of driving complex application security and DevSecOps initiatives as a staff-level individual contributor in massive, global software environments.</li><li>
Comprehensive Web &amp; Mobile Security: Deep, fundamental understanding of modern web and mobile application security topics, including hands-on experience managing external Bug Bounty and vulnerability disclosure programs.</li><li>
AI Security Expertise: Strong working knowledge of industry-standard security frameworks for artificial intelligence, such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, and the NIST AI RMF.</li><li>
AI &amp; Security Automation Hands-on Experience: Practical understanding of utilizing artificial intelligence (including LLMs/Generative AI) for security engineering use cases, such as automated vulnerability analysis, script generation, triage optimization, and code security remediation.</li><li>
Privacy, Ethics &amp; Regulations: A solid understanding of global data privacy laws (e.g., GDPR), ethical AI considerations, and the regulatory impacts of the EU AI Act on application architecture.</li><li>
Risk-Based Vulnerability Management: Strong expertise in vulnerability validation and triage, with the ability to look past raw CVSS scores to calculate actual business impact, coupled with excellent stakeholder management skills to align engineering teams on remediation.</li><li>
Secure Coding &amp; Remediation Proficiency: Deep hands-on proficiency in multiple modern programming languages (e.g., Java, Python, Go) and the ability to confidently code, review, and remediate complex vulnerabilities (such as the OWASP Top 10) directly within application repositories.</li><li>
Cloud &amp; CSPM Familiarity: Strong working knowledge of cloud security (AWS, GCP, or Azure) and containerized ecosystems (Kubernetes, Docker), alongside an understanding of how to align application security signals with Cloud Security Posture Management (CSPM) platforms.</li><li>
Identity &amp; Access Management (IAM): Deep understanding of modern authentication and authorization protocols (OAuth, OIDC, SAML) and how to design and enforce Zero Trust architectures at scale.</li><li>
Cross-Functional Security Ops Alignment: Basic working knowledge of security operations, threat detection, and incident response, ensuring that product architectures are built to be auditable, observable, and resilient against live attacks.</li></ul>
Nice to have:<ul><li>
Experience securing highly distributed, event-driven microservices architectures at global scale.</li><li>
History of public security research, CVE discovery, or active contributions to open-source security or AI safety tooling.</li><li>
Advanced application security or cloud certifications (e.g., CSSLP, CASE, AWS Security Specialty, Google Professional Cloud Security Engineer, or CISSP).</li></ul> 
Additional Information 
Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you&rsquo;re in good shape, then we&rsquo;re in good shape.<ul><li>
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week</li><li>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</li><li>
We will support you in developing yourself and your career growth opportunities: 1.000 &euro; Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.</li><li>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym &amp; Bicycle Subsidy</li><li>
Cash. Dough. Cheddar. Whatever you call it, we&rsquo;ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life &amp; Accident Insurance, Corporate Pension Plan</li><li>
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.</li></ul> 
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.<div></div>
We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. 
 
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience&mdash;just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. 
 
Severely disabled applicants with equal qualifications will be given preferential consideration. 
 
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</div>

Staff Security Engineer, Product Security team

Wolters Kluwer

<div>As a Senior QA Automation Engineer (m/f/d), you'll be joining Libra to help legal and compliance professionals enhance productivity, mitigate risk, and solve complex problems confidently. 
There are hundreds of thousands of lawyers across Europe &mdash; and at Libra, we're transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. 
About the role 
We're looking for an exceptional QA Automation Engineer to join our fast-growing engineering team. You'll lead a small but high-leverage QA function on a team where every engineer owns the quality of their own work &mdash; and your job is to make that scale. 
You'll design and own the automated testing framework, the CI pipeline, and the AI-assisted tooling that lets the whole team ship with confidence. You'll write the complex, cross-cutting end-to-end tests yourself, and you'll multiply the impact of every feature engineer through the framework, patterns, and tooling you build for them. 
This is a high-ownership role at the intersection of testing, developer experience, and AI tooling &mdash; an unusually broad mandate for someone who wants to define how a fast-moving legal AI product stays trustworthy as it grows. 
You'll be part of a highly skilled technology organization and a fast-growing product organization. An ambitious and thrilling place to be as you'll be essential to both strategic alignment and local execution. You'll be working at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. We value collaboration, curiosity, and a bias toward action. 
What you'll do<ul><li>
Own, evolve, and continuously improve the automated test framework that the entire engineering team builds on.</li><li>
Design and build the end-to-end and integration tests for our most complex, cross-cutting flows &mdash; the ones individual feature engineers shouldn't be writing alone.</li><li>
Pair with and coach engineers on test design for larger features &mdash; review their test plans, unblock them on tricky cases, raise the bar through example.</li><li>
Build out continuous testing in CI: modern pipelines with parallelism, fast feedback, and a trustworthy signal &mdash; including the quality gates that block merges and deployments.</li><li>
Lead the integration of AI-powered testing tools and background agents into the pipeline &mdash; for test generation, regression detection, flakiness triage, and self-healing suites.</li><li>
Establish testing patterns for non-deterministic features &mdash; LLM responses, RAG retrieval, async Celery pipelines, real-time SSE streams &mdash; that stay stable as models and prompts evolve.</li></ul> 
What you'll bring 
Education
Bachelor's degree preferred in Software Engineering or a related technical field. 
Experience<ul><li>
Minimum 5 years of relevant experience in software engineering, with substantial focus on test automation and CI infrastructure.</li><li>
Strong proficiency with Python (pytest, async) and TypeScript (Playwright or equivalent end-to-end framework).</li><li>
Deep CI/CD experience on a modern platform &mdash; GitHub Actions or similar &mdash; including parallelism, caching, matrix builds, and cost-aware pipeline design.</li><li>
Hands-on experience using AI coding agents like Cursor or Claude Code, and a clear point of view on how to apply them to testing workflows.</li><li>
Proven experience testing distributed, asynchronous, eventually-consistent systems with queues, external APIs, and real-time components.</li><li>
Bonus: You've built test infrastructure or evaluation harnesses for LLM-powered products.</li></ul> 
Skills<ul><li>
Developer-experience mindset &mdash; you optimize for the engineers who use your framework, not for your own preferences.</li><li>
Entrepreneurial mindset with strong ownership and urgency.</li><li>
A pragmatic approach to problem solving. You know what *not* to automate, and you're willing to kill tests that aren't earning their keep.</li><li>
Communicates risk and quality in terms the business understands, not bug counts.</li><li>
Excellent communication in English; German is a plus.</li></ul> 
Working together 
This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person. 
What we offer<ul><li>
Permanent employment day one.</li><li>
Remote work &amp; flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours.</li><li>
Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period.</li><li>
Rest &amp; time off: 26 vacation days.</li><li>
Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day).</li><li>
Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities.</li></ul> 
In just over a year, we've established ourselves as Europe's fastest-growing legal AI company by partnering with leading law firms, corporate legal departments, and publishers. Libra is building the operating system for modern legal work &mdash; and you can help us write its next chapter.
#LI-Hybrid<h2 class="jobSectionHeader">
Our Interview Practices</h2>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</div>

Senior QA Automation Engineer (Libra - Legal AI Assistant) (m/f/d)

<div>As a Senior Full Stack Engineer (m/f/d) , you will be working for our Legal &amp; Regulatory division where we help legal and compliance professionals enhance productivity, mitigate risk, and solve complex problems confidently. 
There are hundreds of thousands of lawyers across Europe &mdash; and at Libra, we&rsquo;re transforming how they work. Our AI platform combines deep legal reasoning with cutting-edge generative technology, fundamentally changing how lawyers research, draft, and deliver legal work. 
About the role
We are looking for exceptional engineers to join our fast-growing team automating knowledge work for legal professionals. As a Full Stack Engineer, you&rsquo;ll play a central role in developing our product and have high impact and ownership over key product features. You&rsquo;ll work end-to-end across the stack, contributing to both backend and frontend development in a lean, agile environment.
This is a unique opportunity to shape the future of legal tech by building intelligent, scalable solutions that empower professionals and transform workflows. 
In your role you&rsquo;ll be part of high skilled technology organization and a fast growing product organization. An ambitious and thrilling place to be as you&rsquo;ll be essential to both strategic alignment and local execution. You&rsquo;ll be working at the vibrant Merantix AI Campus in Berlin, surrounded by a community of AI innovators. We value collaboration, curiosity, and a bias toward action. 
What you&rsquo;ll do:<ul><li>
Design, implement, and maintain product features across the stack&mdash;from backend APIs to frontend interfaces.</li><li>
Collaborate closely with product and design teams to deliver intuitive, high-performing user experiences.</li><li>
Ensure code quality, security, and scalability through best practices and thoughtful architecture.</li><li>
Contribute to technical decision-making and help shape the engineering culture.</li><li>
Explore and integrate AI tools and agents to enhance developer productivity and product capabilities.</li></ul> 
What you&rsquo;ll bring: 
Education<ul><li>
Bachelor's degree preferred in Computer Science or Software Engineering or similar disciplines.</li></ul> 
Experience<ul><li>
Minimum 4 years of relevant experience working within product software engineering.</li><li>
Strong experience with Python, particularly FastAPI and asynchronous programming.</li><li>
Solid proficiency in TypeScript; experience with Svelte is a strong plus.</li><li>
Familiarity with software engineering best practices and security principles.</li><li>
Experience using AI coding agents like Cursor or Claude Code.</li><li>
Bonus: You&rsquo;ve built or contributed to LLM-powered products.</li></ul> 
Skills<ul><li>
Entrepreneurial mindset with strong ownership and urgency.</li><li>
A pragmatic approach to problem solving. It&rsquo;s more important to you to solve the problem than to use new/hyped technology.</li><li>
Accountability and commitment to high-quality outcomes.</li><li>
Excellent communication in English; German is a plus.</li></ul> 
Working together
This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person. 
What we offer<ul><li>
Permanent employment from day one.</li><li>
Remote work &amp; flexibility: Work remotely up to 3 days per week (home office) (= 8 days a month in the office) with flexible working hours.</li><li>
Work abroad flexibly: Work from anywhere within the EU for up to 20 days within a twelve-month period.</li><li>
Rest &amp; time off: 26 vacation days.</li><li>
Show your commitment: 1 additional day off per year for your volunteer work (Volunteer Day).</li><li>
Support for development: E-learning via LinkedIn, online language training with goFluent, and other training and development opportunities.</li></ul> 
In just over a year, we&rsquo;ve established ourselves as Europe&rsquo;s fastest-growing legal AI company by partnering with leading law firms, corporate legal departments, and publishers, As part of Wolters Kluwer&rsquo;s Legal &amp; Regulatory Division, Libra is building the operating system for modern legal work &mdash; and you can help us write its next chapter.
#LI-Hybrid
<h2 class="jobSectionHeader">Our Interview Practices</h2>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</div>

Senior Full Stack Engineer (Libra - Legal AI Assistant) (m/f/d)

adjoe

<div>adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.
Next-Gen Machine Intelligence for Scalable Discovery &amp; Engagement
The Data Science Research team builds foundational ML representations and advanced AI capabilities that enhance both Playtime and adjoe Ads. Operating as a horizontal deep-tech layer, the team leverages advanced AI and deep learning approaches&mdash;specifically generative approaches &mdash;to deliver critical systems such as high-dimensional user embeddings, general content understanding and sequential recommendation. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users.
The team operates at the intersection of bleeding-edge R&amp;D and high-scale production engineering, acting as the company&rsquo;s internal science bar raiser and primary consulting layer for complex ML bottlenecks. The stack is optimized for deep learning and heavy data throughput: PyTorch and [Ray/Hugging Face] for training and fine-tuning foundation models, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure for heavy workloads. The full lifecycle of these AI capabilities is owned by the team&mdash;from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain high-throughput, realtime production environments.
Your Mission &amp; Who We Are Looking For:<ul><li>
PhD or equivalent research depth, with a track record of technical mentorship. PhD in CS, Statistics, Math, or Physics. Publications in SIGIR, KDD, NeurIPS, or ICLR, and 5+ years building large-scale recommender systems in AdTech, e-commerce, or social. You've owned architectural bets and had accountability for outcomes.</li><li>
You set the research direction. You identify the highest-leverage problems at the intersection of generative AI and recommendation, define the multi-quarter research agenda, and align engineering and product leadership. That means owning how Generative Retrieval, Deep Ranking, and Re-ranking evolve across a stack built on 770 million users' behavioral data.</li><li>
Deep expertise in PyTorch and large-scale model optimization. Hands-on with high-concurrency optimization, quantization, and distillation &mdash; getting large generative models to run under extreme production constraints, not just in research environments.</li><li>
You are the company's deepest resource on generative recommendation. You translate SOTA research into systems adjoe can ship, review architectural decisions across teams, and raise the ML quality bar company-wide. When there's a hard bottleneck, you're the first call.</li><li>
You grow the teams around you. You mentor senior and mid-level scientists, lead architectural debates, and drive long-horizon investments without needing a roadmap handed to you.</li></ul>
We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What&rsquo;s in It for You?
At adjoe, you&rsquo;re not here to just close JIRA tickets, you&rsquo;re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.<ul><li>
Go Big. Own projects with impact on 770M users and push adtech boundaries.</li><li>
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.</li><li>
Be Direct. Solve problems openly and collaborate across teams.</li><li>
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.</li><li>
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.</li></ul>
We welcome applications from people who will contribute to the diversity of our company.</div>

Staff ML Research Scientist (m/f/d)

Capgemini

<div><div><div><div>Wenn du dich f&uuml;r Capgemini entscheidest, w&auml;hlst du ein Unternehmen, in dem du die M&ouml;glichkeit hast, deinen Karriereweg selbst zu gestalten. Du wirst von einem kollaborativen Netzwerk von Kolleg*innen auf der ganzen Welt unterst&uuml;tzt und inspiriert und kannst neu definieren, was m&ouml;glich ist. Schlie&szlig;e dich uns an und unterst&uuml;tze die f&uuml;hrenden Organisationen der Welt, den Wert von Technologie zu erschlie&szlig;en und eine nachhaltigere, inklusivere Welt zu gestalten.
<div><div><div><h2 class="jobSectionHeader">Deine Rolle</h2>
</div><div>Im Umfeld Financial Services (Banking &amp; Insurance) bauen wir unsere Kompetenzen im Bereich Generative AI, Agentic AI und moderne Cloud-Plattformen weiter aus. Daf&uuml;r suchen wir technologische Expert*innen, die Freude daran haben, neue AI-L&ouml;sungen von der Idee bis in den produktiven Betrieb umzusetzen - eingebettet in bestehende Plattformen, Cloud- und Integrationslandschaften.
Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.
Als AI Solution Architect / Senior Engineer (w/m/d) entwickelst und betreibst du moderne AI-L&ouml;sungen entlang des gesamten Lifecycles:
<ul><li>Du definierst und implementierst technische Best Practices f&uuml;r sichere, performante und kosteneffiziente AI-Architekturen entlang des SDLC.</li>
<li>Du konzipierst, entwickelst und betreibst GenAI- und Agentic-AI-L&ouml;sungen und integrierst diese in Cloud- und Plattformlandschaften.</li>
<li>Du arbeitest hands-on in der Umsetzung: AI Engineering, Backend / API-Entwicklung sowie Cloud- / Platform Engineering.</li>
<li>Du unterst&uuml;tzt Presales‑ und Angebotsphasen (z. B. L&ouml;sungsarchitekturen, technische Konzepte, Demos, Storytelling).</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Dein Profil</h2>
</div><div><ul><li>Fundierte Erfahrung in GenAI-Technologien (LLM APIs, Embeddings, RAG, Prompt Engineering, Evaluierung)</li>
<li>Starker Hintergrund in Software Engineering mit Fokus auf Backend, APIs, Microservices oder verteilte Systeme</li>
<li>Praxiserfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie modernen DevOps-Stacks (CI/CD, IaC, Container, Kubernetes)</li>
<li>Know-how in LLMOps (Deployment-Patterns, Versionierung, Testing, Monitoring) f&uuml;r produktive AI-Systeme sowie gutes Verst&auml;ndnis von Security, Skalierbarkeit und Architekturdesign in komplexen, regulierten Umgebungen</li>
<li>Projektabh&auml;ngige Reisebereitschaft sowie sehr gute Deutsch- und Englischkenntnisse</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Was du bei uns sch&auml;tzen wirst</h2>
</div><div><ul><li>Wir legen gro&szlig;en Wert auf die Vereinbarkeit von Arbeit und Privatleben. Deshalb hast du bei uns die M&ouml;glichkeit, hybrid aus dem Office, von zu Hause oder an anderen Capgemini Standorten in Deutschland zu arbeiten. Gleichzeitig bietet Capgemini dir flexible Arbeitszeitmodelle.</li>
<li>Wir bieten dir vielf&auml;ltige M&ouml;glichkeiten zur Weiterentwicklung: Unser Karrieremodell erm&ouml;glicht es dir, deine Karriere so zu lenken, wie es f&uuml;r dich am besten ist und unsere Leadership Programme unterst&uuml;tzen dich dabei. Mit zahlreichen Angeboten auf unserer Lernplattform hast du zudem jederzeit die M&ouml;glichkeit, deine Skills auszubauen oder dir neue anzueignen.</li>
<li>Unsere Communitys: Wir bieten dir aktive Mitarbeiternetzwerke, in denen du dich sowohl fachlich als auch pers&ouml;nlich mit Kolleg*innen aus aller Welt austauschen kannst. Zudem f&ouml;rdern unsere Communitys Vielfalt, Diversit&auml;t und Inklusion am Arbeitsplatz.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Deine Benefits</h2>
</div><div><ul><li>Flexible Arbeitszeit- und Auszeitmodelle</li>
<li>Mobiles Arbeiten &ndash; auch hybrid von Zuhause aus</li>
<li>Jobfahrrad-Programm</li>
<li>Mobilit&auml;tsbudget</li>
<li>Vielf&auml;ltiges Weiterbildungsangebot</li>
<li>Internationales Netzwerk</li>
<li>Kooperation mit dem pme Familienservice</li>
<li>Deferred Compensation &ndash; im Alter gut abgesichert</li>
<li>Verl&auml;ngerte Entgeltfortzahlung im Krankheitsfall</li>
<li>Gesundheitsangebote</li>
<li>Attraktiver Arbeitsplatz f&uuml;r Menschen mit Handicap</li>
<li>Kontakthalteprogramm fareWelcome!</li>
<li>Work-life-balance</li>
<li>Mitarbeiterrabatte</li>
<li>Team- und Sportevents</li>
</ul>S&auml;mtliche in der Anzeige genannten Nebenleistungen geben lediglich einen ersten &Uuml;berblick ohne Anerkennung einer Rechtspflicht. Sie richten sich nach den jeweils g&uuml;ltigen Betriebsvereinbarungen, Policies, betrieblichen Regelungen und Anspruchsvoraussetzungen zum Zeitpunkt des Eintritts in das Unternehmen.
</div></div><div><div><h2 class="jobSectionHeader">Bewirb dich jetzt</h2>
</div><div>F&uuml;r den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf.
Bitte sende keine Bewerbungen per E‑Mail. Bewerbungen werden ausschlie&szlig;lich &uuml;ber unser Online‑Bewerbungssystem entgegengenommen. Eingehende Bewerbungen per E‑Mail werden aus Datenschutzgr&uuml;nden ungelesen gel&ouml;scht. Bei Fragen steht dir Alissa T&uuml;rck unter fs.career.de@capgemini.com zur Seite.
Diese Anzeige ist online, solange die Stelle verf&uuml;gbar ist.
Capgemini lebt Vielfalt am Arbeitsplatz. Diversit&auml;t sorgt in unserem Unternehmen f&uuml;r Inspiration und Innovation. Wir freuen uns besonders &uuml;ber Bewerbungen von qualifizierten Talenten, unabh&auml;ngig von Herkunft, Nationalit&auml;t, Geschlecht, Hautfarbe, ethnischer und sozialer Herkunft, Religion, Alter, Behinderung, sexueller Orientierung und Lebensphase.
</div></div><div><div><h2 class="jobSectionHeader">Mehr Infos</h2>
</div><div>Erfahre hier mehr zu unserem Bewerbungsprozess und erhalte Tipps f&uuml;r deine Bewerbung. Steig jetzt bei Capgemini ein und profitiere von unseren zahlreichen Benefits. Mehr Informationen zu den IT-Berufsfeldern bei Capgemini und unseren Standorten in Deutschland findest du auf unserer Karriereseite: capgemini.de/karriere
Informiere dich auf glassdoor und kununu, wie unsere Mitarbeiter*innen Capgemini als Arbeitgeber bewerten.
</div></div></div>Capgemini ist ein globaler Partner f&uuml;r die KI-gest&uuml;tzte Gesch&auml;fts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert f&uuml;r seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realit&auml;t werden l&auml;sst. Seit fast 60 Jahren steht Capgemini f&uuml;r Verantwortung wie auch Vielfalt und besch&auml;ftigt &uuml;ber 420.000 Mitarbeitende in mehr als 50 L&auml;ndern. Das End-to-End-Leistungsspektrum gr&uuml;ndet auf einer umfangreichen Branchenexpertise, einem starken Partner-&Ouml;kosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.</div></div></div></div>

AI Solution Architect / Senior Engineer Financial Services (w/m/d)

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