[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fNOQzFpRLKth5LBriLMF_hy6x7J9Fof1PHPdT_pn81g4":3,"$fY7GIJVVAVAlL9eGTSy7F_V1B-37MUZnoFKNaiZclUu0":25},{"id":4,"slug":5,"title":6,"company":7,"company_logo_url":8,"category":9,"subcategory":8,"job_type":10,"experience_level":8,"remote_type":11,"country":12,"city":8,"language":13,"salary_min":8,"salary_max":8,"salary_currency":14,"salary_type":8,"skills":15,"benefits":8,"description_short":17,"source_url":18,"apply_url":18,"source_site":19,"is_active":20,"is_featured":21,"views_count":22,"click_count":22,"posted_at":23,"collected_at":24,"expires_at":8,"visa_sponsorship":21,"company_size":8},50010,"ai-engineer-agentic-ai-engineer-remote-deutschland-mit-geleg-e619c557a6f7","AI Engineer \u002F Agentic AI Engineer - Remote (Deutschland) mit gelegentlichem Vor-Ort-Tag","arcode Systems",null,"Data","full-time","onsite","Bamberg","en","EUR",[16],"IT","\u003Cp>Wir sind ein spezialisiertes AI-Engineering- und FullStack-Team und bauen produktive LLM-\u002FAgenten-Systeme für unsere Kunden — kein PoC-Theater, keine Powerpoint-Decks, keine „Slide-Architekten\". Wir beraten partnerschaftlich auf Augenhöhe und liefern Software, die in Produktion läuft.\u003C\u002Fp>\n\u003Cp>Du kannst hier Probleme lösen, ohne dass dich dabei Titel oder feste Rollendefinitionen einschränken — die gibt es bei uns nicht. Unsere Jobs sind nicht starr, sie dienen dir nur zur Orientierung. Du wirst nicht auf (d)einen Job begrenzt, sondern entwickelst dich quer durch AI Engineering, Backend, Platform und Consulting weiter. Du stehst mit deinen individuellen Zielen, Vorstellungen und Stärken im Vordergrund. Du gestaltest deine Karriere bei Arcode proaktiv mit.\u003C\u002Fp>\n\u003Cp>Wichtig: Da wir eng mit unseren Kunden im DACH-Raum (Finanz, Versicherung, Public Sector, Industrie) zusammenarbeiten, sind exzellente Deutschkenntnisse (idealerweise muttersprachlich, mindestens C1) zwingend erforderlich — verhandlungssicheres Englisch setzen wir voraus.\u003C\u002Fp>\n\u003Ch2>Aufgaben\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>Aufgaben\u003Cbr>\nWas dich erwartet\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Als AI Engineer (w\u002Fd\u002Fm) schreibst du nicht nur Notebooks und Prompts, du baust produktive GenAI-Systeme: Agenten, RAG-Pipelines, LLM-getriebene Workflows — end-to-end vom Use-Case-Workshop bis zum Production-Deployment.\u003C\u002Fp>\n\u003Cp>Du arbeitest in crossfunktionalen, agilen Teams an Kundenprojekten und kommst dabei mit dem gesamten modernen GenAI-Stack in Berührung: pydantic-ai, LangChain\u002FLangGraph, MCP (Model Context Protocol), OpenAI, Anthropic Claude, Azure AI Foundry, AWS Bedrock.\u003C\u002Fp>\n\u003Cp>Zusammen mit deinem Team berätst du unsere Kunden bei Use-Case-Identifikation, Architektur-Entscheidungen (RAG vs. Fine-Tuning, Agent-Design, Tool-Use, Memory), Aufwandsschätzungen und der Auswahl geeigneter Vorgehensmodelle — du bist am gesamten AI-Lebenszyklus beteiligt.\u003C\u002Fp>\n\u003Cp>Du analysierst Kundenanforderungen, entwirfst und implementierst agentenbasierte Lösungen, RAG-Pipelines über Unternehmensdaten, strukturierte LLM-Outputs (pydantic-Schemas, Tool-Use) und sorgst auch für gute Dokumentation.\u003C\u002Fp>\n\u003Cp>Du behältst stets die Qualität auf dem Schirm — und das heißt bei AI: systematische Evals, Regression-Tests gegen Goldsets, Hallucination-Monitoring, Cost-per-Inference-Tracking, Prompt-Versionierung, Observability für Agent-Traces (OpenTelemetry, Langfuse, Phoenix).\u003C\u002Fp>\n\u003Cp>Du nutzt moderne, automatisierte Ansätze und AI-native Entwickler-Workflows (Claude Code, Cursor, GitHub Copilot) zur Optimierung von Code, Fehlererkennung und für innovative Lösungen — wir leben \"AI-native\", nicht nur AI-für-Kunden.\u003C\u002Fp>\n\u003Cp>Du integrierst deine LLM-\u002FAgent-Komponenten sauber in bestehende Backend- und Frontend-Architekturen (Python\u002FFastAPI, Node.js\u002FTypeScript, Java, React\u002FAngular) und sorgst für saubere Übergaben an die Plattform-Seite (Kubernetes, ArgoCD, MongoDB\u002Fpgvector, AWS\u002FAzure).\u003C\u002Fp>\n\u003Ch2>Qualifikation\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>Qualifikation\u003Cbr>\nDas solltest du mitbringen\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Dank deiner entsprechenden Berufserfahrung verfolgst du den AI-Engineering-Ansatz hands-on — du redest nicht nur über LLMs, du baust mit ihnen.\u003C\u002Fp>\n\u003Cp>**Gute bis muttersprachliche Deutschkenntnisse sind ZWINGEND erforderlich, da wir eng mit Kunden im DACH-Raum zusammenarbeiten.\u003Cbr>\n**\u003Cbr>\nDu arbeitest gerne agil, verstehst aber auch, dass nicht alle Kunden Agilität (und schon gar nicht GenAI-Engineering) bereits kennen und schätzen wie wir.\u003C\u002Fp>\n\u003Cp>**Du hast einen Bachelor oder Master bzw. vergleichbaren Berufsabschluss in Informatik, Informationstechnologie, Elektrotechnik, Physik, Mathematik, Artificial Intelligence, Data Science oder einer anderen Natur- oder Ingenieurwissenschaft — oder du überzeugst uns mit einem starken Track-Record statt Zeugnissen.\u003Cbr>\n**\u003Cbr>\nDu bist Team-Player, schätzt offene Kommunikation, lernst gerne von anderen und teilst dein Wissen — gerade im LLM-Bereich, wo sich die Tooling-Landschaft alle drei Monate neu ordnet.\u003C\u002Fp>\n\u003Cp>Du willst an spannenden Kundenprojekten arbeiten und hast gute Kenntnisse in einigen dieser Technologien:\u003C\u002Fp>\n\u003Cp>AI \u002F GenAI: Python, pydantic, pydantic-ai, LangChain \u002F LangGraph, MCP, OpenAI \u002F Azure OpenAI APIs, Anthropic Claude, Azure AI Foundry, AWS Bedrock, Hugging Face Transformers, PyTorch, Embeddings & Vector DBs (pgvector, MongoDB Atlas, Weaviate, Pinecone, Qdrant), RAG-Patterns, Prompt Engineering, Agent-Evals (Langfuse, Phoenix, ragas)\u003C\u002Fp>\n\u003Cp>Backend \u002F FullStack: Python (FastAPI), Java\u002FSpring oder Quarkus, Node.js\u002FTypeScript (Express, NestJS), React, Angular, MongoDB, PostgreSQL, REST\u002FGraphQL\u003C\u002Fp>\n\u003Cp>Platform \u002F DevOps: Docker, Kubernetes, ArgoCD, GitLab CI \u002F GitHub Actions, AWS, Azure, MLOps, Observability (Prometheus, Grafana, OpenTelemetry)\u003C\u002Fp>\n\u003Cp>AI-native Tooling: Claude Code, Cursor, GitHub Copilot, Codium — du nutzt sie selbst täglich und kannst Kunden zeigen, wie man sie produktiv einsetzt\u003C\u002Fp>\n\u003Cp>Beratung liegt dir und du kannst dir vorstellen, unsere Kunden technologisch und\u002Foder methodisch zu schulen (LLM-Use-Case-Workshops, Agent-Architektur-Reviews, AI-Governance-Beratung für regulierte Branchen). Dafür bringst du hohe Kommunikationsfähigkeit und gute Deutschkenntnisse mit.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Bonus, kein Muss: Eigene Publikationen \u002F Open-Source-Beiträge \u002F Konferenztalks im AI-Umfeld, Erfahrung mit Machine Unlearning, Privacy-Auditing, BaFin\u002FEU-AI-Act, oder Edge-AI.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch2>Benefits\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>Benefits\u003Cbr>\nDas bieten wir dir\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Ob remote oder im Büro – du entscheidest, wie und wo du arbeitest, solange es mit deinem Projekt und deinem Team abgestimmt ist. Default ist Remote, Vor-Ort-Tage beim Kunden nach Bedarf (typisch alle 2 Wochen).\u003C\u002Fp>\n\u003Cp>OffProject Time – Den Großteil deiner Zeit arbeitest du in Kundenprojekten. Ca. 20 % deiner Arbeitszeit stehen dir für Weiterbildung, Forschung, Open-Source-Beiträge, Konferenz-Talks, Community-Engagement oder interne AI-Initiativen zur Verfügung — wir veröffentlichen aktiv (ICPR 2026, IPDPS 2026, NeurIPS 2026 in Vorbereitung) und wir wollen, dass du dabei sein kannst.\u003C\u002Fp>\n\u003Cp>Du genießt Projekt- und Kundenvielfalt quer durch Finanz, Versicherung, Public Sector und Industrie und arbeitest selbstorganisiert und eigenverantwortlich mit den neuesten LLM- und Agenten-Technologien in crossfunktionalen Teams.\u003C\u002Fp>\n\u003Cp>Du suchst dir deine komplette Hardware inkl. OS selbst aus — Privatgebrauch inklusive. Plus ein dediziertes AI-Tooling-Budget (Claude\u002FChatGPT\u002FCursor\u002FCopilot-Pro-Lizenzen, API-Credits für Experimente) — du sollst mit den besten Werkzeugen arbeiten, nicht mit den günstigsten.\u003C\u002Fp>\n\u003Cp>Du findest dich in einem Umfeld vor, das Familienfreundlichkeit, Vertrauen, Freiheit, Knowledge-Sharing, Mitspracherecht und Fehlerkultur wirklich ernst nimmt — in einem Feld, in dem \"Fehler machen\" der einzige Weg ist, GenAI-Systeme produktiv zu kriegen.\u003C\u002Fp>\n\u003Cp>Neben flexibler Vertrauensarbeitszeit hast du 30 Tage Urlaub, Sonderurlaub, zukaufbaren Urlaub und Weihnachten sowie Silvester sind grundsätzlich keine Arbeitstage. Zusätzlich kannst du ein Sabbatical einlegen.\u003C\u002Fp>\n\u003Cp>Für Freelancer:innen alternativ: 80 – 110 € \u002F h je nach Profil, klare Projekt-Zuordnung, faire Forecast-Kommunikation.\u003C\u002Fp>\n\u003Cp>Wir freuen uns auf dich!\u003C\u002Fp>\n\u003Cp>Find \u003Ca href=\"https:\u002F\u002Fwww.arbeitnow.com\u002F\">Jobs in Germany\u003C\u002Fa> on Arbeitnow\u003C\u002Fp>","https:\u002F\u002Fwww.arbeitnow.com\u002Fjobs\u002Fcompanies\u002Farcode-systems\u002Fai-engineer-agentic-ai-engineer-remote-deutschland-mit-gelegentlichem-vor-ort-tag-bamberg-109494","arbeitnow",true,false,0,"2026-05-21T12:30:47+00:00","2026-05-22T11:05:26.737057+00:00",{"jobs":26,"total":83,"facets":84},[27,49,62,75],{"id":28,"slug":29,"title":30,"company":31,"company_logo_url":32,"category":9,"subcategory":8,"job_type":10,"experience_level":33,"remote_type":34,"country":35,"city":8,"language":13,"salary_min":8,"salary_max":8,"salary_currency":36,"salary_type":37,"skills":38,"benefits":8,"description_short":44,"source_url":45,"apply_url":45,"source_site":46,"is_active":20,"is_featured":21,"views_count":22,"click_count":22,"posted_at":47,"collected_at":48,"expires_at":8,"visa_sponsorship":21,"company_size":8},54409,"senior-marketing-data-scientist-mozilla-2960d681d4d7","Senior Marketing Data Scientist","Mozilla","https:\u002F\u002Fcdn-images.himalayas.app\u002F5nhwmjwruc9guodan3cbix30c58w","senior","remote","Remote","USD","yearly",[39,40,41,42,43],"Data-Science","Marketing-Analytics","Data-Analysis","Product-Analytics","Marketing-Sciences","To learn the Hiring Ranges for this position, please select your location from the \u003Cstrong>Apply Now\u003C\u002Fstrong> dropdown menu.\u003Cp>To learn more about our Hiring Range System, please click this \u003Ca href=\"https:\u002F\u002Fdocs.google.com\u002Fdocument\u002Fd\u002F1ylUe7Ou0EbsOtGRBtUv1sSld3lbZ4mrYzo59tEkSjY8\u002Fedit?usp=sharing\" rel=\"nofollow ugc noopener noreferrer\">\u003Cstrong>link.\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003Ch3>Why \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa>?\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. \u003C\u002Fp>\u003Cp>The \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> Corporation is wholly owned by the non-profit 501(c) \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute \u003Cstrong>open-source\u003C\u002Fstrong> software that enables people to enjoy the internet on their terms. \u003C\u002Fp>\u003Ch3>About this team and role:\u003C\u002Fh3>\u003Cp>The Marketing Data Science team sits within the broader Product Data Science organization and provides comprehensive analytical support and thought partnership to Marketing to guide responsible and effective investment decisions. Our work centers on end-to-end measurement solutions that seek to quantify the true return of our marketing efforts—touching measurement instrumentation, data modeling, experiment design, execution, and the translation of insights into actionable recommendations. Beyond measurement, we support KPI forecasting, budget allocation, self-service reporting, and a wide range of advanced statistical modeling solutions.\u003C\u002Fp>\u003Cp>As a Senior Data Scientist, you will take a hands-on role in answering complex marketing questions and navigating a dynamic, often imperfect data environment. You will leverage your strong analytical skills, technical depth, and business domain understanding to uncover insights, refine existing tactics, and help identify new opportunities to enhance Marketing’s impact.\u003C\u002Fp>\u003Ch3>What you’ll do: \u003C\u002Fh3>\u003Cul>\u003Cli>Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows.\u003C\u002Fli>\u003Cli>Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions.\u003C\u002Fli>\u003Cli>Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact.\u003C\u002Fli>\u003Cli>Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity.\u003C\u002Fli>\u003Cli>Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>What you’ll bring: \u003C\u002Fh3>\u003Cul>\u003Cli>2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment.\u003C\u002Fli>\u003Cli>Master’s degree or higher in a computer, mathematical, physical, life, or social science discipline (preferred).\u003C\u002Fli>\u003Cli>Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data.\u003C\u002Fli>\u003Cli>Proficiency with visualization and reporting tools, such as Python, Looker, or Redash, and experience building clear, actionable reporting solutions.\u003C\u002Fli>\u003Cli>Knowledge of core statistical methods used for hypothesis testing and analytical inference.\u003C\u002Fli>\u003Cli>Experience with geo experiments or synthetic control models (e.g., CausalImpact, GeoLift) is a plus.\u003C\u002Fli>\u003Cli>Familiarity with digital marketing and measurement platforms (e.g., Google Analytics, Google Ads, Meta Business Suite) is a plus.\u003C\u002Fli>\u003Cli>Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently.\u003C\u002Fli>\u003Cli>Commitment to our values:\u003C\u002Fli>\u003Cul>\u003Cli>Welcoming differences\u003C\u002Fli>\u003Cli>Being relationship-minded\u003C\u002Fli>\u003Cli>Practicing responsible participation\u003C\u002Fli>\u003Cli>Having grit\u003C\u002Fli>\u003C\u002Ful>\u003C\u002Ful>\u003Ch3>What you’ll get:\u003C\u002Fh3>\u003Cul>\u003Cli>Generous performance-based bonus plans to all eligible employees - we share in our success as one team\u003C\u002Fli>\u003Cli>Rich medical, dental, and vision coverage\u003C\u002Fli>\u003Cli>Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)\u003C\u002Fli>\u003Cli>Quarterly all-company wellness days where everyone takes a pause together\u003C\u002Fli>\u003Cli>Country specific holidays plus a day off for your birthday\u003C\u002Fli>\u003Cli>One-time home office stipend\u003C\u002Fli>\u003Cli>Annual professional development budget\u003C\u002Fli>\u003Cli>Quarterly well-being stipend\u003C\u002Fli>\u003Cli>Considerable paid parental leave\u003C\u002Fli>\u003Cli>Employee referral bonus program\u003C\u002Fli>\u003Cli>Other benefits (life\u002FAD&D, disability, EAP, etc. - varies by country)\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>About \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> \u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa>, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.\u003C\u002Fp>\u003Cp>\u003Cstrong>Commitment to diversity, equity, inclusion, and belonging\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.\u003C\u002Fp>\u003Cp>We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at \u003Ca href=\"mailto:hiringaccommodation@mozilla.com\">hiringaccommodation@mozilla.com\u003C\u002Fa> to request accommodation.\u003C\u002Fp>\u003Cp>We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.\u003C\u002Fp>\u003Ch3>Group: D\u003C\u002Fh3>\u003Ch3>Req ID: R3007\u003C\u002Fh3>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\u002Fjobs\u002Fsenior-marketing-data-scientist-5223226088","himalayas","2026-05-23T11:04:58.426743+00:00","2026-05-23T11:06:49.275247+00:00",{"id":50,"slug":51,"title":52,"company":53,"company_logo_url":8,"category":9,"subcategory":8,"job_type":10,"experience_level":8,"remote_type":11,"country":54,"city":8,"language":13,"salary_min":8,"salary_max":8,"salary_currency":14,"salary_type":8,"skills":55,"benefits":8,"description_short":58,"source_url":59,"apply_url":59,"source_site":19,"is_active":20,"is_featured":21,"views_count":22,"click_count":22,"posted_at":60,"collected_at":61,"expires_at":8,"visa_sponsorship":21,"company_size":8},54102,"computer-vision-engineer-m-w-d-cerpro-gmbh-7121d833e3b2","Computer Vision Engineer (m\u002Fw\u002Fd)","Cerpro GmbH","Berlin",[56,57],"Data Processing","Data Engineer","\u003Cp>\u003Cstrong>ABOUT CERPRO\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>CERPRO develops AI-based software for the manufacturing industry. Our technology simplifies complex processes, such as the creation of inspection reports, and raises quality standards in production to a new level. In doing so, we help companies work more efficiently and remain competitive in the long term.\u003C\u002Fp>\n\u003Cp>Backed by international investors and early customers, we are scaling our solution from Germany into the global market.\u003C\u002Fp>\n\u003Ch2>Tasks\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>YOUR MISSION AT CERPRO\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Technical drawings are the backbone of the manufacturing industry and at the same time one of the toughest nuts to crack in computer vision: dense layouts, tiny text, hundreds of symbols per sheet, scanned legacy stock alongside clean vector PDFs. This is exactly where you come in. As a Computer Vision Engineer, you build the models that turn these drawings into usable data: dimensions, tolerances, GD&T, surface specifications, welding symbols, bills of materials. You work at the heart of our produc and help decide how far our automation can go.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>YOUR RESPONSIBILITIES\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Models for technical drawings:\u003C\u002Fstrong> You develop and train models for detection, classification, and segmentation of the elements on technical drawings, from individual dimension entries to GD&T symbols to complete title blocks and bills of materials.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>OCR for the technical context:\u003C\u002Fstrong> You build robust OCR pipelines that handle the peculiarities of technical drawings: special characters, rotated text, low resolutions, scanned originals, mixed fonts, and safety-critical dimensions where every digit counts.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Document understanding & layout:\u003C\u002Fstrong> You work on models that understand the structure of a drawing, which annotation belongs to which dimension, which view shows which surface, where the title block ends and the bill of materials begins. For this, you use modern Document-AI approaches and vision-language models.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Data strategy & annotation:\u003C\u002Fstrong> You help decide which data we need, how we collect and annotate it, and where synthetic data can meaningfully extend our training set. You work closely with our annotators and define guidelines.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Evaluation & iteration:\u003C\u002Fstrong> You define meaningful metrics, build evaluation pipelines, and ensure that we improve model quality not just subjectively but measurably. You systematically analyze failure cases and derive the next training cycles from them.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Deployment & performance:\u003C\u002Fstrong> Together with the engineering team, you bring your models into production: latency, cost, and stability are just as important to you as accuracy. Where needed, you optimize models with quantization or ONNX\u002FTensorRT.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Collaboration within the ML team:\u003C\u002Fstrong> You work closely with the rest of the ML team on hybrid approaches in which vision models and rule-based evaluation go hand in hand.\u003C\u002Fp>\n\u003Ch2>Requirements\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>WHAT YOU BRING\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Several years of experience in computer vision and deep learning, ideally in a production environment.\u003C\u002Fli>\n\u003Cli>Strong command of Python and one of the common DL frameworks (PyTorch preferred).\u003C\u002Fli>\n\u003Cli>Practical experience with object detection, segmentation, and\u002For OCR, including training, evaluation, and deployment of your own models.\u003C\u002Fli>\n\u003Cli>Familiarity with modern architectures (e.g. DETR, YOLO variants, SAM, LayoutLM, Donut) and a sense of when which approach fits.\u003C\u002Fli>\n\u003Cli>Experience working with documents (PDFs, scans) is a clear plus, experience with technical drawings, plans, or engineering documents is an even bigger one.\u003C\u002Fli>\n\u003Cli>Structured, results-oriented way of working, you don't just build models, you bring them into production.\u003C\u002Fli>\n\u003Cli>Basic understanding of MLOps topics: versioning, reproducibility, monitoring of models in live operation.\u003C\u002Fli>\n\u003Cli>Business-fluent German or English skills.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2>Benefits\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>WHY CERPRO?\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Vision:\u003C\u002Fstrong> We aim to transform how an entire industry works worldwide. From day one, you’ll be part of this mission and share in our commitment to give everything to achieve it.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Team Spirit:\u003C\u002Fstrong> Team spirit matters to us, and we make it visible through a strong recognition culture where we regularly celebrate both big and small wins together.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Ownership:\u003C\u002Fstrong> You’re encouraged to take ownership from day one. In a flat hierarchy and high-trust environment, you’ll be empowered to make meaningful decisions and drive real impact.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Learning & Growth:\u003C\u002Fstrong> We invest in your personal and professional development through a strong feedback culture, helping you unlock your full potential.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>AI Enablement:\u003C\u002Fstrong> Our internal tools and workflows are AI-enabled by design. Every team member receives support to apply AI in daily work, including your own Claude Code or Cursor license.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Tech & Tooling:\u003C\u002Fstrong> You’ll receive a new computer (Mac or Windows) and everything else you need, from hardware to tools, to be effective in your daily work.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Recharge:\u003C\u002Fstrong> To ensure proper rest, we offer 30 vacation days per year (based on a 5-day week), plus December 24th off and all local public holidays.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong>THE APPLICATION PROCESS\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>We want your candidate experience with us to be smooth, transparent, and enjoyable. We aim to get back to you regarding your application within 5 business days. Our interview process typically takes about 4 weeks from start to finish, though this may vary by role. If you need adjustments or flexibility at any stage, please don’t hesitate to let us know, we’ll do our best to make it work for you.\u003C\u002Fp>\n\u003Cp>Find more \u003Ca href=\"https:\u002F\u002Fwww.arbeitnow.com\u002Fenglish-speaking-jobs\">English Speaking Jobs in Germany\u003C\u002Fa> on Arbeitnow\u003C\u002Fp>","https:\u002F\u002Fwww.arbeitnow.com\u002Fjobs\u002Fcompanies\u002Fcerpro-gmbh\u002Fcomputer-vision-engineer-berlin-256033","2026-05-23T08:30:43+00:00","2026-05-23T11:06:46.453837+00:00",{"id":63,"slug":64,"title":65,"company":66,"company_logo_url":8,"category":9,"subcategory":67,"job_type":10,"experience_level":8,"remote_type":11,"country":68,"city":69,"language":13,"salary_min":8,"salary_max":8,"salary_currency":14,"salary_type":37,"skills":8,"benefits":8,"description_short":70,"source_url":71,"apply_url":71,"source_site":72,"is_active":20,"is_featured":21,"views_count":22,"click_count":22,"posted_at":73,"collected_at":74,"expires_at":8,"visa_sponsorship":21,"company_size":8},55668,"analytics-reporting-engineer-tenth-revolution-group-61e969dc7cfa","Analytics & Reporting Engineer","Tenth Revolution Group","Unknown","Spain","Arbo, Pontevedra","Desde Tenth Revolution Group buscamos un\u002Fa Analytics & Reporting Engineer (Power BI \u002F SQL) para incorporarse a un proyecto internacional, trabajando en un entorno global altamente analítico y orientado a datos. BarcelonaModelo híbrido: 90% remoto (1 día\u002Fmes en oficina)Idiomas: Inglés fluido B2 \u002F C1Contrato indefinido, proyecto a largo plazoResponsabilidadesDesarrollar, optimizar y mantener dashboards complejos en Power BI.Garantizar la calidad, consistencia y fiabilidad de KPIs, métricas y repo…","https:\u002F\u002Fwww.adzuna.es\u002Fdetails\u002F5737898177?utm_medium=api&utm_source=ac2be355","adzuna","2026-05-22T22:32:07+00:00","2026-05-23T11:06:51.813057+00:00",{"id":76,"slug":77,"title":78,"company":79,"company_logo_url":8,"category":9,"subcategory":67,"job_type":10,"experience_level":8,"remote_type":11,"country":68,"city":69,"language":13,"salary_min":8,"salary_max":8,"salary_currency":14,"salary_type":37,"skills":8,"benefits":8,"description_short":80,"source_url":81,"apply_url":81,"source_site":72,"is_active":20,"is_featured":21,"views_count":22,"click_count":22,"posted_at":82,"collected_at":74,"expires_at":8,"visa_sponsorship":21,"company_size":8},55631,"regulatory-reporting-data-analyst-ing-ef606d237aaa","Regulatory Reporting Data Analyst","ING","At ING we are looking for a Regulatory Reporting Data Analyst A talented and enthusiasticRegulatory Reporting Data Analystto join ourFinancial and Regulatory ReportingTeam. The responsibility of this team is handling the external financial and regulatory reporting data delivery to Bank of Spain and Head-Office. This includes answering ad hoc data requests and maintaining the day-to-day relationship with Head Office. The team also drives continuous improvements in the reporting processes and dat…","https:\u002F\u002Fwww.adzuna.es\u002Fdetails\u002F5737896853?utm_medium=api&utm_source=ac2be355","2026-05-22T22:31:58+00:00",157,{"category":85,"mode":107,"experience":111,"type":116},{"Engineering":86,"Sales":87,"Design":88,"DevOps":89,"Product":90,"Operations":91,"Customer Support":92,"HR":93,"Education":94,"Marketing":95,"Writing":96,"Finance":97,"Healthcare":98,"Other":99,"Data":83,"Legal":100,"Hospitality":101,"Construction":102,"Retail":103,"Logistics":104,"Government":105,"Manufacturing":106},5535,1404,466,131,284,1628,437,650,1430,910,26,1505,3704,9154,536,1786,1273,815,2068,398,382,{"remote":108,"onsite":109,"hybrid":110},43,108,6,{"senior":112,"mid":113,"lead":114,"entry":115},30,7,12,3,{"full-time":117,"contract":118,"part-time":118},153,2]