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

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senior ai generative ai engineer all genders

Delivery Hero

<div><b>Company Description</b><p><br>
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.</p><b><br>
Job Description</b><p><br>
We are looking for a Staff Security Engineer (all genders) to join our Product Security team on our journey to always deliver amazing experiences.</p><p>
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.</p><p>
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.</p><p><b>
Your mission:</b></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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</p></li></ul><p></p><b><br>
Qualifications</b><p></p><ul><li><p><br>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li></ul><p><b>
Nice to have:</b></p><ul><li><p>
Experience securing highly distributed, event-driven microservices architectures at global scale.</p></li><li><p>
History of public security research, CVE discovery, or active contributions to open-source security or AI safety tooling.</p></li><li><p>
Advanced application security or cloud certifications (e.g., CSSLP, CASE, AWS Security Specialty, Google Professional Cloud Security Engineer, or CISSP).</p></li></ul><b><br>
Additional Information</b><p><br>
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.</p><ul><li><p>
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</p></li><li><p>
We offer 27 days holiday with an extra day on 2nd and 3rd year of service</p></li><li><p>
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.</p></li><li><p>
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym &amp; Bicycle Subsidy</p></li><li><p>
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</p></li><li><p>
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.</p></li></ul><p></p><p><br>
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.<br>
<br>
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.<br>
<br>
<b>Severely disabled applicants with equal qualifications will be given preferential consideration.</b><br>
<br>
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</p><div></div><p>
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.<br>
<br>
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.<br>
<br>
<b>Severely disabled applicants with equal qualifications will be given preferential consideration.</b><br>
<br>
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.</p></div>

Staff Security Engineer, Product Security team

Capgemini

<div><div><div><div><p>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.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Deine Rolle</b></h2>
</div><div><p>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.</p>
<p>Diese Stelle ist in Vollzeit sowie in Teilzeit zu besetzen.</p>
<p>Als AI Solution Architect / Senior Engineer (w/m/d) entwickelst und betreibst du moderne AI-L&ouml;sungen entlang des gesamten Lifecycles:</p>
<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"><b>Dein Profil</b></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"><b>Was du bei uns sch&auml;tzen wirst</b></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, <b>hybrid</b> aus dem Office, von zu Hause oder an anderen Capgemini Standorten in Deutschland zu arbeiten. Gleichzeitig bietet Capgemini dir<b> </b>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"><b>Deine Benefits</b></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><p><i>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.</i></p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Bewirb dich jetzt</b></h2>
</div><div><p>F&uuml;r den ersten Schritt in Richtung Zukunft brauchst du nur drei Minuten Zeit und deinen aktuellen Lebenslauf.</p>
<p>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 <b>Alissa T&uuml;rck</b> unter <b>fs.career.de@capgemini.com</b> zur Seite.</p>
<p>Diese Anzeige ist online, solange die Stelle verf&uuml;gbar ist.</p>
<p>Capgemini lebt<b> </b>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.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Mehr Infos</b></h2>
</div><div><p>Erfahre hier mehr zu unserem <b>Bewerbungsprozess</b> und erhalte Tipps f&uuml;r deine Bewerbung. Steig jetzt bei Capgemini ein und profitiere von unseren <b>zahlreichen Benefits</b>. Mehr Informationen zu den <b>IT-Berufsfeldern</b> bei Capgemini und unseren <b>Standorten in Deutschland</b> findest du auf unserer Karriereseite: <b>capgemini.de/karriere</b></p>
<p>Informiere dich auf <b>glassdoor</b> und <b>kununu</b><b>, </b>wie unsere Mitarbeiter*innen Capgemini als Arbeitgeber bewerten.</p>
</div></div></div><p>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.</p></div></div></div></div>

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

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

Mindrift

<div>
 <strong>
  Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
  <br/>
  <br/>
 </strong>
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 <br/>
 <br/>
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 <br/>
 <br/>
 <strong>
  What We Do
  <br/>
  <br/>
 </strong>
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  </li>
  <li>
   Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  </li>
  <li>
   Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  </li>
  <li>
   Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  </li>
  <li>
   Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $37 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
 <br/>
 <br/>
 <strong>
  How To Get Started
  <br/>
  <br/>
 </strong>
 Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  </li>
  <li>
   Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
  </li>
  <li>
   Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  </li>
  <li>
   Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  </li>
  <li>
   Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  </li>
  <li>
   Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  </li>
  <li>
   Strong attention to detail and commitment to data accuracy
  </li>
  <li>
   Self-directed work ethic with ability to troubleshoot independently
  </li>
  <li>
   A link to GitHub is a plus
  </li>
  <li>
   English proficiency: Upper-intermediate (B2) or above (required)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Why this freelance opportunity might be a great fit for you?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work fully remote on your own schedule with just a laptop and stable internet connection.
  </li>
  <li>
   Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly &mdash; a distinctive skill set in a rapidly growing field.
  </li>
  <li>
   Participate in performance-based bonus programs that reward high-quality work and consistent delivery
  </li>
 </ul>
</div>


Freelance Data Scraping Engineer (Python)

Enpal

<div>
 At Enpal, we are not just a company; we are a movement. As a leading European greentech unicorn, we are on a mission to make clean energy simple, accessible, and scalable for homeowners across the continent.
 <br/>
 <br/>
 Through solar panels, heat pumps, home batteries, and EV charging, we are redefining residential energy. With Enpal Energy, we are building Europe&rsquo;s leading platform to manage and orchestrate millions of distributed energy assets &mdash; laying the foundation for the largest Virtual Power Plant (VPP) in Europe.
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 Our vision: power Europe&rsquo;s transition to a fully decentralized, intelligent, and clean energy system.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Senior AI Platform Engineer
 </strong>
 , you will design and build the internal AI Engine that powers all AI capabilities across Enpal Energy. This is not about wrapping APIs &mdash; it is about building the core infrastructure that makes AI reliable, scalable, and production-grade.
 <br/>
 <br/>
 We are looking for a systems thinker with strong engineering fundamentals and a deep understanding of modern AI systems. You care about reliability, observability, and building platforms that enable other engineers to move fast with confidence.
 <br/>
 <br/>
 What you will do
 <br/>
 <br/>
 <ul>
  <li>
   Own the design and development of the internal AI platform powering all AI features.
  </li>
  <li>
   Build a robust Agent Runtime to orchestrate complex AI workflows in production.
  </li>
  <li>
   Design scalable backend services and developer-facing APIs for AI systems.
  </li>
  <li>
   Build internal tooling for evaluation, observability, tracing, and debugging (latency, cost, quality, reliability).
  </li>
  <li>
   Define standards for AI quality, including evaluation frameworks, versioning, and reproducibility.
  </li>
  <li>
   Collaborate closely with product and engineering teams to enable fast, safe, and deterministic AI feature delivery.
  </li>
  <li>
   Own CI/CD pipelines, infrastructure as code, and production readiness of AI systems.
  </li>
  <li>
   Continuously improve performance, reliability, and cost efficiency.
  </li>
  <li>
   Contribute to architectural decisions shaping the long-term AI strategy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7+ years of software engineering experience (mid to senior level).
  </li>
  <li>
   Strong background in backend systems, platform engineering, or internal developer platforms.
  </li>
  <li>
   Strong proficiency in TypeScript and Node.js (JavaScript ecosystem).
  </li>
  <li>
   Solid understanding of modern AI system design, including agentic architectures vs. chains, tool use and function calling, and orchestration patterns.
  </li>
  <li>
   Experience in LLM APIs (e.g. OpenAI, Anthropic, DeepSeek) and AI infrastructure.
  </li>
  <li>
   Experience building observability, logging, tracing, and evaluation systems.
  </li>
  <li>
   Strong focus on reliability, determinism, and production-grade engineering.
  </li>
  <li>
   Experience building APIs and integrating complex systems.
  </li>
  <li>
   Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, or similar).
  </li>
  <li>
   Strong commitment to clean, testable, and scalable code.
  </li>
  <li>
   (Senior level) Experience mentoring engineers and driving technical decisions.
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information
 <br/>
 <br/>
 <ul>
  <li>
   Join Germany&rsquo;s leading green unicorn and help shape the energy transition.
  </li>
  <li>
   Work in a diverse team of 65+ nationalities united by one mission.
  </li>
  <li>
   Hybrid work model: office or remote &mdash; your choice.
  </li>
  <li>
   Our Berlin HQ offers a fully equipped startup environment (rooftop, gym, lounges, events).
  </li>
  <li>
   Structured onboarding, including a welcome session with our founder.
  </li>
  <li>
   Regular company updates, technical deep dives, and knowledge sharing sessions.
  </li>
  <li>
   Strong team culture, ownership mindset, and frequent team events.
  </li>
  <li>
   A strong feedback culture that values continuous improvement.
   <br/>
   <br/>
  </li>
 </ul>
 At Enpal, diversity and inclusion are core values. Hiring decisions are made without discrimination of any kind.
</div>


AI Platform Engineer (f/m/d)

Kayzen

<div><h3 class="jobSectionHeader"><b>Fullstack Engineer (m/f/d)</b></h3>
<p><b>
Berlin, Bangalore, Remote</b></p>
<p>
Hello I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a Fullstack Engineer to join our Console team. But wait, you have not heard of Kayzen before?</p>
<p>
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world's best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.</p>
<p><b>
The Team</b></p>
<p>
The Console team owns the user-facing applications and interfaces that power the Kayzen platform &mdash; from our self-serve campaign management dashboard and real-time reporting suite to internal tooling used by our managed service teams. We work closely with product managers, designers, backend engineers, and data teams to deliver seamless, high-performance experiences. We are responsible for some of the most impactful work at Kayzen, including:</p>
<ul>
<li>&quot;The Console&quot; which is the face of Kayzen we are very proud of.</li>
<li>Complex features which surface a lot of backend infrastructure via console</li>
<li>Almost 100% uptime with very well planned &amp; executed project management</li>
</ul>
<p><i>Sounds interesting. Isn't it?</i></p>
<p><b>
About the Role</b></p>
<p>
We are looking for a coding-first <b>Fullstack Engineer</b> who thrives on turning complex product requirements into high-performance UIs. You should be comfortable working across the stack, contributing to architecture discussions, and be an early adopter of AI-assisted engineering (e.g., Claude Code, Cursor, Copilot) in your daily coding workflow. This role is a strong individual contributor position with room to grow into deeper technical ownership over time.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Core responsibilities</li>
<li><ul><li>Design, build, and maintain high-quality features across the Fullstack stack, from UI to API integration</li>
<li>Write clean, well-tested, production-ready code and actively participate in code reviews</li>
<li>Collaborate closely with Product, Design, QA, and Backend teams to deliver cohesive, user-centric features</li>
<li>Contribute to technical decisions around architecture, tooling, and best practices within the team</li>
<li>Take ownership of features end to end, from planning through deployment and monitoring</li>
</ul></li><li>Hands-on AI Implementation</li>
<li><ul><li>Integrate AI-powered coding agents and automated LLM-based testing into your daily development cycle</li>
<li>Contribute to building 'AI-First' UI patterns, working alongside the LLM Platform team on generative, prompt-driven interfaces</li>
<li>Stay current with emerging AI-assisted development tools and bring relevant ones back to the team</li>
</ul></li><li>Project &amp; Execution Management</li>
<li><ul><li>Break down assigned product requirements into clear, actionable engineering tasks</li>
<li>Deliver work reliably within sprint commitments, flagging blockers or scope changes early</li>
<li>Balance new feature delivery with addressing technical debt in the codebase you work on</li>
</ul></li>
</ul><p><b>Requirements</b></p>
<h4 class="jobSectionHeader"><b>
Fullstack Technical Excellence (Core Focus)</b></h4>
<ul><li>5+ years of professional Fullstack development experience with modern JavaScript/TypeScript</li>
<li>Solid expertise in at least one major framework (React, Angular, or Vue) and its ecosystem</li>
<li>Strong understanding of HTML5, CSS3, responsive design, and cross-browser compatibility</li>
<li>Experience building data-heavy UIs, ideally including real-time data visualization</li>
<li>Good grasp of Fullstack performance optimization, including bundle size, rendering, lazy loading, and caching strategies</li>
<li>Experience with state management patterns (Redux, MobX, Zustand, or similar)</li>
<li>Working knowledge of Fullstack testing methodologies, unit, integration, and end-to-end (Jest, Cypress, Playwright, or similar)</li>
<li>Comfortable working with design systems and shared component libraries</li>
<li>Experience using AI-assisted development tools (e.g., Claude Code) to boost engineering productivity</li>
</ul><h4 class="jobSectionHeader"><b>Engineering Maturity</b></h4>
<ul><li>Experience contributing to Fullstack architecture decisions on production applications</li>
<li>Solid understanding of APIs, RESTful services, GraphQL, and system design fundamentals</li>
<li>Ability to give and receive constructive feedback through code reviews</li>
<li>Good communication skills, able to explain technical decisions clearly to teammates and stakeholders</li>
</ul><h4 class="jobSectionHeader"><b>Startup Mindset</b></h4>
<ul><li>Bias for shipping and iteration, you deliver incrementally and learn from real users</li>
<li>Comfortable with ambiguity and rapid change in a fast-paced environment</li>
<li>Thinking in terms of leverage and reuse, not one-off solutions</li>
<li>Pragmatic about trade-offs between perfectionism and speed of delivery</li>
</ul><h4 class="jobSectionHeader"><b>Less About</b></h4>
<ul><li>Developers who prefer working in isolation on narrowly scoped tickets without engaging with the wider product context. We need someone who wants to understand the &quot;why&quot; behind the work and contribute ideas, not just execute tasks.</li>
</ul><h4 class="jobSectionHeader"><b>Nice to Have</b></h4>
<ul><li>Familiarity with ad-tech, real-time bidding platforms, or high-traffic data products</li>
<li>Contributions to open-source Fullstack projects or community involvement</li>
<li>Experience building Fullstack interfaces for AI/ML-powered products (e.g., chatbots, recommendation engines, AI-generated content displays)</li>
<li>Familiarity with LLM APIs and prompt-driven UI patterns</li>
</ul>
<p><b>What do we offer?</b></p>
<ul>
<li>Exceptional career growth and learning opportunity</li>
<li>A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market</li>
<li>A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain and many more countries</li>
<li>A flexible work-from-home arrangement</li>
<li>A 500-dollar home-office setup budget</li>
<li>A 1000-dollar annual learning and development budget</li></ul></div>

Fullstack Engineer (m/f/d)

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)

Explore 83+ Senior ai generative ai engineer all genders in Berlin this July. Find roles across top companies and apply now to boost your career.