founding software engineer (backend, cloud & ai infrastructure)

senior data engineer

data engineer

data scientist

(junior) ai engineer (m/f/d) Jobs in Berlin

(junior) ai engineer (m/f/d)

founding software engineer (backend, cloud & ai infrastructure) Jobs in Berlin

principal machine learning scientist all genders

Zalando

<div><div>Ort</div><div>
Germany - Berlin</div><div>
Vertrag</div><div>
Full time</div><div>
Job-Kategorie</div><div>
Applied Science &amp; Research</div></div>
<br><div><div><p><b>Junior Applied Scientist (all genders) - B2B Data Science and Algorithms</b></p><p></p><p>
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner&rsquo;s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfillment experience, and we see that to do this, Machine Learning, Operations Research, and data-driven solutions will play a pivotal role.</p><p></p><p>
We are seeking a highly motivated Junior Applied Scientist who is fueled by the desire to kickstart their career by building innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an established team of Senior Applied Scientists and Machine Learning Engineers, working in a cross-functional setup with Product Managers, Data Engineers, and Software Engineers.</p><p></p><p>
The team&rsquo;s focus is helping our B2B partners improve inventory health and order fulfillment efficiency. With guidance and mentorship from senior team members, you will contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems. You will play a key role in a cross-functional team where your eagerness to learn and grow will directly translate into value for our partners!</p><p></p><p><b>
WHY YOU SHOULD BE INTERESTED&hellip;</b></p><ul><li><p>
Learn and Impact from Day One: You won't be stuck doing busywork. You will be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions. Your fresh perspective will help identify new opportunities to create value for our partners.</p></li><li><p>
Tackle Complex Scientific Problems with Expert Guidance: This is your chance to bridge the gap between academia and industry. You'll tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems while receiving the mentorship needed to succeed.</p></li><li><p>
Explore Emerging Tech like Agentic AI: As we explore opening up MCP servers to our partners, you will assist in defining how we measure their performance. You will contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably.</p></li><li><p>
Grow into End-to-End Ownership: You will have the opportunity to follow ideas from initial research and prototyping to production. You will learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs.</p></li><li><p>
Drive Impact at a Multi-Merchant Scale: Your contributions will help build platform-level services that scale across hundreds of diverse partners, shaping the future of a more sustainable and efficient e-commerce logistics network.</p></li></ul><p><b><br>
WE&rsquo;D LOVE TO MEET YOU IF&hellip;</b></p><ul><li><p>
Educational background in a quantitative field; Masters degree or higher preferred.</p></li><li><p>
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems.</p></li><li><p>
A solid theoretical foundation and practical exposure in at least one of the following areas:</p></li><li><p>
Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers).</p></li><li><p>
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations).</p></li><li><p>
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing).</p></li><li><p>
Agentic AI &amp; MCP evaluation frameworks</p></li><li><p>
Proficiency in SQL and Python, with some exposure to working with datasets.</p></li><li><p>
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders.</p></li><li><p>
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions.</p></li><li><p>
You thrive in our team's core value: &ldquo;High Challenge, High Support&rdquo;! We cherish an open, direct feedback culture and are here to help you develop into a world-class scientist.</p></li></ul><p></p><p><b>
INCLUSIVE BY DESIGN</b></p><p></p><p>
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.</p><p>
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.</p><p>
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion</p><p></p><p><b>
OUR OFFER</b></p><ul><li><p>
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.</p></li><li><p>
Employee shares program</p></li><li><p>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</p></li><li><p>
2 paid volunteering days per year</p></li><li><p>
27 days of vacation a year to start for full-time employees</p></li><li><p>
Family services, including counseling and support</p></li><li><p>
Health and wellbeing options (including Wellhub, formerly Gympass)</p></li><li><p>
Mental health support and coaching available</p></li><li><p>
Drive your development through our training platform and biannual peer-to-peer review</p></li></ul></div><div><b>
Recruiter</b><p>
Casimir Udegbunam</p><p>
casimir.udegbunam@zalando.de</p></div><div><p>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.</p><p>
In einigen F&auml;llen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich f&uuml;r eine Stelle zu bewerben oder an einem Vorstellungsgespr&auml;ch teilzunehmen.</p></div></div><p></p>
<br><div></div><div><div><div><h2 class="jobSectionHeader"><b>&Uuml;ber </b><b>Zalando</b></h2><p>
Zalando wurde 2008 in Berlin gegr&uuml;ndet und ist die f&uuml;hrende europ&auml;ische Technologieplattform f&uuml;r Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 M&auml;rkten. Unser Gesch&auml;ft basiert auf einer einzigartigen, KI-gest&uuml;tzten Daten- und Infrastrukturplattform. F&uuml;r unsere Kund*innen bietet unser Multi-App-Ansatz &ndash; bestehend aus Zalando, ABOUT YOU und Lounge by Zalando &ndash; ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. F&uuml;r unsere Partner bauen wir das Betriebssystem f&uuml;r den E-Commerce. &Uuml;ber ZEOS, Tradebyte und SCAYLE &ouml;ffnen wir unsere Logistik-, Software- und Servicekapazit&auml;ten f&uuml;r Marken und Einzelh&auml;ndler*innen zur nahtlosen, grenz&uuml;berschreitenden Skalierung ihres Gesch&auml;fts.</p></div></div></div>

Junior Applied Scientist (all genders)

Xenon7

<div><p><b>About us:</b></p><p>
Where elite tech talent meets world-class opportunities!</p><p>
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.</p><p>
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional <b>AI &amp; ML Professionals </b>ready to solve real-world problems and shape the future of intelligent systems.</p><p></p><p><b>
Location:</b> Remote (Europe - CET)<br>
<b>Experience:</b> 5+ Years</p><p><b>
Project Duration:</b> ~ 2 months (B2B contract)<br>
<b>Availability:</b> Immediate Joiner</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking a visionary and highly skilled <b>Senior Data Scientist</b> to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.</p><p></p><ul><li><b>
Architect Document Intelligence Solutions:</b> Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li><b>
Develop LLM &amp; Retrieval Systems:</b> Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li><b>
End-to-End ML Pipelines:</b> Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li><b>
Bridge Chemistry &amp; AI:</b> Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li><b>
Cloud Architecture &amp; Deployment:</b> Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li><b>
Cross-Functional Collaboration:</b> Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li><b>
Professional Experience:</b> 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li><b>
Domain Expertise:</b> A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li><b>
Core Technical Stack:</b> Advanced proficiency in <b>Python</b> and deep hands-on experience with the <b>AWS cloud stack</b> (e.g., SageMaker, Lambda, S3, EC2).</li><li><b>
Generative AI &amp; Search:</b> Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and <b>vector databases</b> (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li><b>
ML/DL Mastery:</b> Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Document Processing (Plus):</b> Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li><b>
Soft Skills:</b> Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul><br>
<b>
Benefits</b><p><br>
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.</p><ul><li>
<b>Ecosystem of Opportunity:</b> You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
<b>Collaborative Environment: </b>Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
<b>Flexible &amp; Impact-Driven Work: </b>Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
<b>Talent-Led Innovation: </b>We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

primaholding GmbH

<div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>primaholding</b><br>
<b>Das sind wir</b></h2>
<p>Als international vertretene Unternehmensgruppe mit insgesamt vierzehn Tochtergesellschaften in drei L&auml;ndern begeistern wir uns f&uuml;r innovative, kundenfreundliche Produkte in den Bereichen Energie und Telekommunikation. Abgerundet wird das Profil der primaholding durch unsere Gesellschaft f&uuml;r Telemarketingdienstleistungen.</p>
<p>Dabei bildet nicht nur die langj&auml;hrige Erfahrung die Basis f&uuml;r unseren Erfolg, sondern vor allem die Kombination aus einem umfassenden Produktportfolio und zuvorkommendem Kundenservice. Gemeinsam mit einer Vielzahl an kompetenten Mitarbeitern setzen wir uns jeden Tag mit viel Begeisterung f&uuml;r die Ziele der primaholding ein und schaffen es nicht zuletzt durch den gezielten Know-how-Transfer zwischen der primaholding und den elf Tochterunternehmen, unseren Kunden und Vertriebspartnern immer wieder innovative L&ouml;sungen zu bieten. Dar&uuml;ber hinaus gelingt es uns, durch das Angebot unserer beiden Komplettversorger f&uuml;r den Haushalt, Ma&szlig;st&auml;be zu setzen und damit eine attraktive Alternative zu den &uuml;brigen Anbietern im Bereich Energie und Telekommunikation darzustellen.</p>
<p>Auf der Basis des deutschlandweiten Wachstums aller Tochtergesellschaften ist die primaholding seit einigen Jahren auch in der Schweiz und in &Ouml;sterreich aktiv. Damit wird der Erfolg unserer Tochtergesellschaften international vereint und punktet auch bei allen Kunden in unseren s&uuml;dlichen Nachbarl&auml;ndern jederzeit mit &uuml;berzeugenden Angeboten zu fairen Konditionen sowie einem hervorragenden Kundenservice.</p></div></div></div></div></div></div></div></div></div></div>
<br><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Wachstum</b><br>
<b>und Zukunft</b></h2>
<p>Mit unserem Namen verbindet sich eine bemerkenswerte Erfolgsgeschichte, deren Grundstein bereits im Jahr 2003 mit dem Markteintritt der heutigen Tochtergesellschaft primacall gelegt wurde. Seit der Entstehung der primaholding im Jahr 2008 w&auml;chst die gesamte Unternehmensgruppe in allen Gesch&auml;ftsbereichen sowohl wirtschaftlich als auch strukturell rasant. Dass wir bei der Erreichung unserer ambitionierten Ziele sehr erfolgreich sind, spiegelt sich nicht nur in der Zufriedenheit unserer Kunden und der Entwicklung der primaholding wider. Unsere Gesch&auml;ftsfelder stetig zu erweitern sowie die Effektivit&auml;t interner Abl&auml;ufe fortw&auml;hrend zu optimieren, ist ein Anspruch, den wir jeden Tag gemeinsam verfolgen.</p>
<p>Umso mehr freut es uns, dass die primaholding im Rahmen der Kampagne &bdquo;FT 1000&ldquo; von der Financial Times unter die 1000 wachstumsst&auml;rksten Unternehmen in Europa gew&auml;hlt wurde. Sehr stolz sind wir ebenfalls &uuml;ber die erneute Auszeichnung von voxpark mit dem TOP-JOB-Award als einer der besten Arbeitgeber im deutschen Mittelstand.</p></div></div></div></div></div></div><p></p>
<br><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Gemeinsam</b><br>
<b>Gro&szlig;es erreichen</b></h2>
<p>Als dynamisches und zukunftsorientiertes Unternehmen wissen wir, dass interessierte Menschen von heute die besten Mitarbeiter von morgen sind. Deshalb unterst&uuml;tzen wir alle Talente so fr&uuml;h wie m&ouml;glich mit individuellen Ma&szlig;nahmen und geben unabh&auml;ngig von Alter und Herkunft jedem die M&ouml;glichkeit, sich bestm&ouml;glich einzubringen.</p>
<p>Wenn Sie sich also sowohl pers&ouml;nlich als auch fachlich weiterentwickeln und dabei anspruchsvolle Aufgaben &uuml;bernehmen m&ouml;chten, sind Sie bei der primaholding genau richtig! Neben der Unterst&uuml;tzung und F&ouml;rderung der individuellen Kompetenzen jedes einzelnen Mitarbeiters spielt bei uns auch die Zufriedenheit der Mitarbeiter eine zentrale Rolle. F&uuml;r uns geh&ouml;ren eine angenehme Arbeitsatmosph&auml;re und motivierte Mitarbeiter zu den wichtigsten Faktoren f&uuml;r den langj&auml;hrigen Erfolg und das gro&szlig;e Wachstum der Unternehmensgruppe in allen Gesch&auml;ftsbereichen. Um diesen Standard weiter zu erhalten, optimieren wir die primaholding als Arbeitgeber kontinuierlich mit Hilfe von Feedback und sind stets offen f&uuml;r neue Vorschl&auml;ge, W&uuml;nsche, Lob und Kritik unserer Mitarbeiter. Besonders stolz sind wir darauf, dass sich diese Philosophie auch auf unabh&auml;ngigen Bewertungsportalen wie kununu widerspiegelt. Es freut uns, dass unsere Unternehmensgruppe damit nicht nur f&uuml;r Mitarbeiter, sondern auch f&uuml;r Bewerber einen attraktiven Arbeitsplatz darstellt.</p></div></div></div></div></div></div>
<br><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Unsere Mitarbeiter</b><br>
<b>sind uns wichtig</b></h2>
</div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>foodji</b></h3><div><p>
Subventioniertes frisches Mittagsessen,<br>
Snacks und Getr&auml;nke</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Attraktive Mitarbeiter-Benefits</b></h3><div><p>
Satte Rabatte und Zusatzleistungen<br>
auf unsere Strom- &amp; Gastarife,<br>
Mobilfunk-Flatrates, Festnetz &amp; Internet</p>
</div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Top Lage</b></h3><div><p>
unmittelbar am<br>
U-Bahnhof Alt-Mariendorf</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>Parkpl&auml;tze und e-Ladestationen</b></h3><div><p>
stehen f&uuml;r Ihr Fahrzeug zur Verf&uuml;gung</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Paketservice</b></h3><div>
private Pakete ins B&uuml;ro liefern lassen</div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>moderner Arbeitsplatz</b></h3><div><p>
in einer Top-Umgebung<br>
mit netten Kollegen</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>flexible Arbeitszeiten</b></h3><div><p>
f&uuml;r eine angenehme<br>
Work-Life-Balance</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>frisches Obst und Gem&uuml;se</b></h3><div><p>
und eine gro&szlig;e<br>
Auswahl an Snacks</p></div></div></div>
</div><div></div><div><div><div><h3 class="jobSectionHeader"><b>erstklassige Kaffee- und Teespezialit&auml;ten</b></h3><div><p>
sowie gek&uuml;hltes Wasser<br>
und Mineralwasser</p></div></div></div>
</div></div><div></div><div><div><div><div><h3 class="jobSectionHeader"><b>regelm&auml;&szlig;ig Teamevents</b></h3><div><p>
und eine j&auml;hrliche<br>
primaholding-Party</p></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><div><div><div><div>AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d)</div><div>
primaholding GmbH</div><div>
IT &amp; Entwicklung</div></div></div><div><h3 class="jobSectionHeader"><b>
AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d) &ndash; KI, Automatisierung &amp; intelligente Gesch&auml;ftsprozesse</b></h3></div><div><div>
Sehr geehrte Damen und Herren,</div></div><div>
<div></div><div><div><div>Wir suchen zum n&auml;chstm&ouml;glichen Zeitpunkt einen</div>
<h3 class="jobSectionHeader"><b>AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. &auml;. (m/w/d)</b></h3>
<div>AID0626HP</div>
<div><div><div><div>Ihre Aufgaben</div><ul>
<li>Entwicklung und Implementierung intelligenter Automatisierungs- und KI-L&ouml;sungen f&uuml;r verschiedenste Unternehmensbereiche</li>
<li>Integration von KI-L&ouml;sungen in bestehende Unternehmenssysteme und Gesch&auml;ftsprozesse &uuml;ber APIs und Automatisierungsplattformen</li>
<li>Konzeption, Einf&uuml;hrung und Optimierung von Chatbot- und Voicebot-L&ouml;sungen f&uuml;r Vertrieb und Kundenservice</li>
<li>Entwicklung intelligenter Workflows zur Verarbeitung und Steuerung von Kundenanliegen aus E-Mail, Briefpost, Telefonie und weiteren Kommunikationskan&auml;len</li>
<li>Entwicklung von KI-gest&uuml;tzten Workflows, Agentensystemen und Entscheidungslogiken zur Automatisierung von Gesch&auml;ftsprozessen</li>
<li>Auswahl der jeweils sinnvollsten Technologien f&uuml;r den Anwendungsfall &ndash; von klassischer Prozessautomatisierung bis hin zu modernen KI- und LLM-L&ouml;sungen</li>
<li>Kontinuierliche Analyse und Optimierung bestehender KI-Anwendungen anhand von Nutzungsdaten, Qualit&auml;tskennzahlen und Business-KPIs</li>
</ul></div></div><div><div><div>Ihr Profil</div><ul>
<li>Abgeschlossenes Studium in den Bereichen Informatik, K&uuml;nstliche Intelligenz, Maschinelles Lernen, Computer Science, Data Science, Wirtschaftsinformatik oder in einer vergleichbaren Fachrichtung bzw. eine vergleichbare Qualifikation</li>
<li>Gute Kenntnisse im Bereich K&uuml;nstliche Intelligenz, insbesondere Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) oder Agentensysteme</li>
<li>Erfahrung in der Entwicklung von Automatisierungs- und Softwarel&ouml;sungen, idealerweise mit Python und modernen API-Architekturen</li>
<li>Erfahrung in der Entwicklung von KI-gest&uuml;tzten Anwendungen, Agentensystemen und intelligenten Automatisierungsl&ouml;sungen sowie im Einsatz moderner Frameworks zur Integration von Sprachmodellen und Unternehmenssystemen ist von Vorteil.</li>
<li>Verst&auml;ndnis f&uuml;r Gesch&auml;ftsprozesse und die F&auml;higkeit, diese durch intelligente Automatisierung effizienter zu gestalten</li>
<li>Begeisterung f&uuml;r neue Technologien und die Bereitschaft, innovative Ans&auml;tze pragmatisch in die Praxis umzusetzen</li>
<li>Analytisches Denkverm&ouml;gen sowie eine strukturierte und l&ouml;sungsorientierte Arbeitsweise</li>
<li>Eigeninitiative, Kreativit&auml;t und Freude daran, neue Ideen bis zur produktiven Umsetzung voranzutreiben</li>
<li>Ausgezeichnete Deutschkenntnisse in Wort und Schrift sowie gute Englischkenntnisse</li>
</ul></div></div></div><div><div><div>Wir bieten Ihnen</div><ul>
<li>Eine hohe Sicherheit in einem unbefristeten Arbeitsverh&auml;ltnis</li>
<li>Eine kompetente Einarbeitung und jederzeit verf&uuml;gbare Ansprechpartner</li>
<li>Eigenverantwortliches Arbeiten</li>
<li>Interkulturelle und interdisziplin&auml;re Teams</li>
<li>Moderne Arbeitspl&auml;tze auf dem technisch neusten Stand in Wohlf&uuml;hlatmosph&auml;re</li>
<li>Sehr gute Verkehrsanbindung und ein eigener Parkplatz mit kostenloser Ladestation</li>
<li>Erstklassige Kaffee- und Teespezialit&auml;ten sowie Obst zum freien Verzehr</li>
<li>Die M&ouml;glichkeit, sich private Pakete ins B&uuml;ro zustellen zu lassen</li>
<li>Subventioniertes frisches Mittagessen, Snacks und Getr&auml;nke</li>
<li>Attraktive Mitarbeiter-Benefits, z. B. satte Rabatte und Zusatzleistungen auf unsere Strom &amp; Gas Tarife, Mobilfunk Flatrates, Festnetz &amp; Internet&hellip;</li>
</ul>
</div></div></div><div><div><p>Sie m&ouml;chten mit uns gemeinsam durchstarten?</p>
<p>Dann senden Sie Ihre vollst&auml;ndigen Bewerbungsunterlagen unter Angabe der Kennziffer und des fr&uuml;hestm&ouml;glichen Eintrittstermin bitte direkt &uuml;ber unser Online-Formular anFrau Jonscher.</p>
<p><i>Wir freuen uns auf Ihre Bewerbung!</i></p></div></div></div></div></div><p></p>

AI Developer - Informatiker, Wirtschaftsinformatiker, Computer Scientist o. ä. (m/w/d)

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (Germany-based)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

<div><h2 class="jobSectionHeader"><b>About the Opportunity</b></h2>
<p>
We are seeking a Junior Backend Engineer to join the Data Ingestion Team within the Platform Engineering Domain. This is an exciting opportunity for an early-career engineer to grow their skills building high-throughput data processing systems.</p>
<p>
Platform Engineering's mission is to provide trusted, performant, and self-service platforms. As part of this, the Data Ingestion team is responsible for building and maintaining the pipelines that power our bank's data ecosystem, focusing on reliability, scalability, and clean engineering practices.</p>
<p>
The ideal candidate is an eager learner who is excited to dive into new technologies and solve technical challenges with the support of a senior team. We value engineers who are self-driven, seek constructive feedback, and thrive in a collaborative environment that prizes technical growth.</p>
<h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2>
<ul><li>Software Development: Work under the guidance of senior engineers to develop and maintain backend services for our data ingestion platform.</li>
<li>Engineering Support: Support the team in applying strong engineering practices including writing automated tests, participating in code reviews, and maintaining observability.</li>
<li>Proactive Learning: Proactively ask questions, propose small improvements, and collaborate with the team to deliver clean, testable code for our platform services.</li>
<li>Knowledge Sharing: Participate in technical discussions, contribute to internal documentation, and help us maintain a transparent knowledge base.</li>
<li>Development Contribution: Contribute to infrastructure development tasks and participate in technical demos to showcase your work.</li>
<li>Shadow and Respond: Shadow on-call rotations and assist in troubleshooting efforts to learn incident response protocols.</li>
<li>Observability Support: Learn to maintain and use observability solutions (metrics, logging, tracing) to help the team track platform SLOs and availability.</li>
</ul><h2 class="jobSectionHeader"><b>What you need to be successful</b></h2>
<h3 class="jobSectionHeader"><b>Background and Skills:</b></h3>
<ul><li>Strong foundational backend skills, with a preference for Kotlin or Java, and a willingness to adapt to the language best suited for the task.</li>
<li>Exposure to data storage solutions such as PostgreSQL, RDS, or S3.</li>
<li>Basic knowledge of containers (Docker) and an eagerness to learn Kubernetes.</li>
<li>Exposure to infrastructure as code concepts (Terraform or similar).</li>
<li>Interest in learning CI/CD pipelines and modern automation tools.</li>
<li>Understanding of testing pyramids and experience writing unit and integration tests.</li>
<li>Familiarity with at least one observability/monitoring tool (e.g., DataDog, Prometheus, or Grafana).</li>
</ul><h3 class="jobSectionHeader"><b>Nice to have:</b></h3>
<ul>
<li><p>Working experience in scale-ups within platform teams.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Traits:</b></h3>
<ul><li>Excellent collaboration and communication skills, with the ability to work across teams.</li>
<li>You enjoy taking tasks from start to finish and keeping the team updated on your progress.</li>
<li>A keen interest in understanding how to build high-quality, scalable, and secure infrastructure.</li>
<li>Eagerness to learn and contribute to building platforms as products.</li>
<li>A proactive approach to problem-solving, a desire to learn, and an appreciation for clean code.</li>
</ul><h2 class="jobSectionHeader"><b>What's in it for you:</b></h2>
<ul><li>Accelerate your career growth by joining one of Europe's most talked about disruptors.</li>
<li>Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness &amp; wellness memberships, language apps and public transportation.</li>
<li>Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. <i>Some roles may require additional in-office presence</i>.</li>
<li>As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
</li><li>Additional day of annual leave for each year of service.
</li><li>A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.</li>
</ul><h2 class="jobSectionHeader"><b>Who we are</b></h2>
<p>
N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.</p>
<p>
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.</p>
<p>
We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.</p>
<p><b>
Sounds good? Apply now for this position.</b></p>
<p><b>
Equal Opportunities:</b></p>
<p>
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.</p>
<p>
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.</p>
<p>
Visit our website to learn more about Diversity, Equity, &amp; Inclusion at N26.</p></div>

Junior Backend Engineer - Data Ingestion

UNITY Consulting & Innovation

Berlin
<br><br>
deutschlandweit
<br><br>
Frankfurt a. M.
<br><br>
Hamburg
<br><br>
Köln
<br><br>
München
<br><br>
Nürnberg
<br><br>
Paderborn
<br><br>
Stuttgart
<br><br>
Präsenz / Mobil
<br><br>
Praktikum
<br><br>
Vollzeit
<br><br>
<b>Publiziert:</b> 02.07.2026
<br><br>
Bereit für ein Praktikum, das den Einstieg in die Welt von Data & AI bietet? Tauche ein in die innovative Arbeitsumgebung von UNITY und entfalte dein Talent im Bereich moderner KI-Technologien und Softwarelösungen.
<br><br>
Werde Teil eines Teams , das sich mit Leidenschaft für komplexe Aufgaben einsetzt und Innovationen vorantreibt.
<br><br>
Das erwartet dich
<br><br>
Gestalte Softwarearchitekturen und setze diese gemeinsam mit dem Team in skalierbaren und produktionsnahen Lösungen für Kunden um.
<br><br>
Trage zur Weiterentwicklung von State-of-the-Art Machine-Learning-Services bei, indem du bei der Ergebnisprüfung unterstützt.
<br><br>
Entwickle gemeinsam mit unseren Data Consultants innovative Data Services zur Generierung datengetriebener Mehrwerte.
<br><br>
Setze Kundenanforderungen mithilfe von Agentic Coding effizient und zielgerichtet um
<br><br>
Dokumentiere , analysiere und präsentiere Arbeitsergebnisse strukturiert und adressatengerecht gegenüber den Stakeholdern.
<br><br>
Das bringst du mit
<br><br>
Im Backend (Python, Node.js o. ä.) und/oder Frontend (React, Vue o. ä.) hast du beim Aufbau einer KI-Applikation mitgeholfen.
<br><br>
Erste Erfahrung in der Entwicklung KI-basierter Anwendungen , insbesondere mit Large Language Models (LLMs), Prompt Engineering und Agentic-Coding-Patterns.
<br><br>
Wichtig! Prägnanz in Kommunikation und Präsentation auf Deutsch oder Englisch (ab B2-Niveau).
<br><br>
Gute Studienleistungen in deinem bereits fortgeschrittenen Bachelorstudium der (Wirtschafts-) Informatik, Data Science, KI oder vergleichbarer technischer Fokus.
<br><br>
<b>Außerdem hilfreich für deinen Erfolg bei UNITY:</b> Praktische Erfahrung in Cloud-Platfformen (z.B AWS, Azure oder GCP), Grundkenntnisse in SQL oder Vektordatenbanken sind von Vorteil.
<br><br>
Kein 100%iges Match? - Kein Problem! Wir unterstützen dich gern in deiner persönlichen und fachlichen Weiterentwicklung. Also worauf wartest du noch?
<br><br>
Das bieten wir dir
<br><br>
… die Möglichkeit, den Alltag in der technologiegetriebenen Beratung durch die Mitarbeit in anspruchsvollen AI- und Data-Projekten praxisnah kennenzulernen.
<br><br>
Dabei werden grundlegende Methoden der Daten- und KI-Entwicklung vermittelt und direkt im Projektkontext angewendet. Es werden erste Erfahrungen in Kundenprojekten gesammelt sowie Einblicke in moderne Technologien, Machine-Learning-Ansätze und Softwarearchitekturen gewonnen. Gleichzeitig erfolgt ein kontinuierlicher Wissenstransfer durch erfahrene Berater und Entwickler.
<br><br>
Folgende weitere Benefits kannst du ebenfalls genießen.
<br><br>
Verwirklichung eigener Ideen im Standort oder in den Projekten. Werde Teil unserer Nachhaltigkeitsinitiativen oder nehme an (Sport-)Veranstaltungen und Reisen teil.
<br><br>
Flexible Arbeitsmodelle passend zu deinem Studium.
<br><br>
Programm students@UNITY, in dem du dich mit UNITIES über ganz Deutschland verbinden kannst.
<br><br>
<b>Unsere Standorte, an denen du deutschlandweit arbeiten kannst:</b> Berlin, Frankfurt a. M., Hamburg, Köln, München, Nürnberg, Paderborn/Büren oder Stuttgart.
<br><br>
Bewirb dich jetzt mit wenigen Klicks. ​
<br><br>
<ul>
<li>UNITY lebt Vielfalt und Chancengleichheit. Bei uns ist jeder unabhängig von Herkunft, Geschlecht, sexueller Orientierung, Handicap, Religion und Alter willkommen.</li>
</ul>
Dein persönlicher Kontakt
<br><br>
Bei Rückfragen zum Bewerbungsprozess freut sich Markus (Candidate Experience Management) auf deine Kontaktaufnahme.
<br><br>
Markus Stephan
<br><br>
+49 221 789587-728

Praktikum AI Engineer

Solaris Group

<div><div><p><b>Solaris</b> is Europe's leading embedded finance platform. Solaris&rsquo; full German banking license and proprietary modular B2B tech stack empowers its partners &ndash; from SMEs to large, multinational, non-financial companies &ndash; to offer compliant, customer-centric banking services, providing seamless experiences to customers across all industries. Founded in 2016, Solaris pioneered the Banking-as-a-Service market with an unparalleled combination of tech and banking. Solaris is headquartered in Berlin and employs 300 people in Europe.</p>
<h4 class="jobSectionHeader"><b>
Your Role</b></h4>
<ul><li>Lead the design of complex, distributed micro-services and platforms, focusing on scalability, resilience, and maintainability.</li>
<li>Ensure architecturally inter-connected teams are aligned; facilitate bi-directional information flow between domain teams and the wider tech organization.</li>
<li>Drive high-level technology decisions, including framework selection, cloud infrastructure strategy, and third-party integrations.</li>
<li>Take accountability for the reliability, security, and performance of the fleet of micro-services and platform capabilities.</li>
<li>Establish and enforce coding standards, code review guidelines, and architectural patterns to ensure high-quality delivery.</li>
<li>Contribute to and champion infrastructure-as-code (IaC), CI/CD pipelines, and observability tools to maximize developer efficiency.</li>
<li>Lead the resolution of complex, cross-team technical incidents and conduct blameless post-mortems to prevent recurrence.</li>
<li>Help teammates grow as craftspeople through technical mentorship, pair programming, and sponsorship.</li>
<li>Translate complex technical topics into business value for Product Owners and stakeholders; translate business goals into technical requirements for engineers.</li>
</ul><h4 class="jobSectionHeader"><b>We'd love to see</b></h4>
<p>
Depending on your level of experience, your responsibilities and scope of role will range. We don&rsquo;t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let&rsquo;s figure together out how you can contribute to our team.</p>
<ul>
<li>A bachelor degree in Computer Science or equivalent.</li>
<li>10+ years of total professional experience in Software Engineering.</li>
<li>3+ years in a Technical Leadership role (e.g., Staff, Principal, Lead Architect) driving technical decisions across multiple teams or critical systems.</li>
<li>Proven track record of designing and evolving high-traffic, distributed systems or APIs.</li>
<li>Experience operating in a DevOps/You-Build-It-You-Run-It culture.</li>
<li>Possess the ability to read, review, and debug code in multiple modern languages (e.g., Java, Go) and adapt to the right tool for the job.</li>
<li>Deep expertise in designing distributed, high-throughput systems. Proven ability to select appropriate architectural patterns (e.g., Event-Driven, Microservices, CQRS, Hexagonal Architecture) based on business requirements and trade-offs.</li>
<li>Ability to evolve monolithic or legacy systems into modern architectures using different design patterns, without disrupting business continuity.</li>
<li>Advanced understanding of the container ecosystem and orchestration strategies. Capable of designing services that are truly cloud-agnostic and scalable.</li>
<li>Philosophically aligned with &quot;Everything as Code.&quot; Capable of guiding teams in managing complex infrastructure.</li>
<li>Ability to execute, deliver, and guide others through unclear goals and complex problem spaces without supervision.</li>
<li>Excellent written and verbal English (German is a plus). Able to explain trade-offs (e.g., Consistency vs. Availability) to non-technical audiences.</li>
<li>Ability to influence roadmaps and engineering culture without direct managerial authority.</li>
<li>A curious, constant learner who proactively shares knowledge via tech talks, documentation, and coaching.</li>
</ul><h4 class="jobSectionHeader"><b>Benefits</b></h4>
<ul><li>Home office budget.</li>
<li>Learning &amp; development budget of &euro;1000 per year and a transparent growth framework to support your career goals.</li>
<li>Competitive salary and a variable remuneration program.</li>
<li>Monthly meal allowance.</li>
<li>Deutschland ticket subsidy.</li>
<li>28 vacation days, increasing by 2 days after 2 years and 3 days after 3 years with Solaris.</li>
<li>Opportunity to work abroad for up to 12 weeks per year.</li>
</ul>
<p><i>While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us.</i></p>
<p>
At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know.</p>
<p>
Information on data processing:</p>
<p>
DE: https://www.solarisgroup.com/gdpr_notice_de<br>
EN: https://www.solarisgroup.com/gdpr_notice_en</p></div><div><div><p>
The annual gross salary range for this position is:</p><p>
&euro;100.000 - &euro;125.000 EUR</p></div></div></div>

Principal Engineer

Explore 31+ Principal machine learning scientist all genders in Berlin this July. Find roles across top companies and apply now to boost your career.