[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fRciUjvMpS6yO6Ba5bLFPcNaZ6-at9sbFeHWepFpGz7w":3,"$fY7GIJVVAVAlL9eGTSy7F_V1B-37MUZnoFKNaiZclUu0":24},{"id":4,"slug":5,"title":6,"company":7,"company_logo_url":8,"category":9,"subcategory":8,"job_type":10,"experience_level":11,"remote_type":12,"country":13,"city":8,"language":14,"salary_min":8,"salary_max":8,"salary_currency":15,"salary_type":8,"skills":8,"benefits":8,"description_short":16,"source_url":17,"apply_url":17,"source_site":18,"is_active":19,"is_featured":20,"views_count":21,"click_count":21,"posted_at":22,"collected_at":23,"expires_at":8,"visa_sponsorship":20,"company_size":8},49931,"staff-machine-learning-engineer-ai-applications-berlin-bolt--49d7e9f5175b","Staff Machine Learning Engineer, AI Applications, Berlin","Bolt Technology",null,"Data","full-time","lead","onsite","Berlin, Berlin, Germany","en","EUR","\u003Cp><gh-intro>\u003Cbr><text>\u003Cbr>We are looking for a \u003Cstrong>Staff Machine Learning Engineer, AI Applications\u003C\u002Fstrong> to join Bolt's Customer Support Product team and lead the quality, learning, and knowledge foundations behind our AI automation stack. You will have the opportunity to shape how we evaluate and align LLM-based systems, improve knowledge quality and retrieval, and build the feedback loops that continuously improve customer support automation. If you are passionate about applied ML, retrieval and knowledge systems, and making AI products measurably better in production, this role will perfectly suit you.\u003Cbr><\u002Ftext>\u003Cbr><\u002Fgh-intro>\u003Cbr>\u003Cbr>\u003C\u002Fp>\n\u003Cp><gh-about-us>\u003Cbr><title>\u003Cstrong>About us\u003C\u002Fstrong><\u002Ftitle>\u003C\u002Fp>\n\u003Cp><text>\u003C\u002Fp>\n\u003Cp>With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.\u003C\u002Fp>\n\u003Cp>We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.\u003C\u002Fp>\n\u003Cp>Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!\u003C\u002Fp>\n\u003Cp><\u002Ftext>\u003C\u002Fp>\n\u003Cp><\u002Fgh-about-us>\u003Cbr>\u003Cbr>\u003C\u002Fp>\n\u003Cp><gh-role-detail>\u003C\u002Fp>\n\u003Cp><title>\u003Cstrong>About the role\u003C\u002Fstrong><\u002Ftitle>\u003C\u002Fp>\n\u003Cp><text>\u003C\u002Fp>\n\u003Cp>As a Staff Machine Learning Engineer, you will operate at the intersection of advanced AI, knowledge systems, and Bolt's production support ecosystem, setting the technical direction for how we measure, improve, and scale AI quality across conversational experiences. You will help ensure our systems are accurate, helpful, grounded, and aligned with business and customer needs.\u003C\u002Fp>\n\u003Cp>This is a high-impact, high-scope role where you will define the quality and learning strategy behind our AI systems, partner closely with engineering, product, operations, and domain experts, and turn real-world support interactions into durable improvements across models, retrieval, and workflows.\u003C\u002Fp>\n\u003Cp>You will work closely with engineers and cross-functional partners building Bolt's AI automation stack, helping ensure our systems are not only scalable and reliable, but also grounded, aligned, and continuously improving in production.\u003C\u002Fp>\n\u003Cp><\u002Ftext>\u003Cbr><\u002Fgh-role-detail>\u003Cbr>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp><gh-responsibilities>\u003C\u002Fp>\n\u003Cp><title>\u003Cstrong>Main tasks and responsibilities:\u003C\u002Fstrong><\u002Ftitle>\u003C\u002Fp>\n\u003Cp><bulletpoints>\u003C\u002Fp>\n\u003Cul>\n\u003Cli><point>Lead alignment of Customer Support AI system behaviour to Bolt's business goals, customer experience standards, and policy requirements, improving answer quality, consistency, grounding, and escalation behaviour..<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Build and scale knowledge mining capabilities that turn conversations, support tickets, workflows, policies, and operational data into reusable knowledge assets and improvement signals.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Own the evaluation strategy for LLM-powered customer support systems, including offline benchmarks, golden datasets, human review workflows, online experimentation, and production quality metrics.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Develop feedback loops that connect production failures and human corrections back into prompts, retrieval, benchmarks, and model behaviour, enabling continuous improvement of automation quality.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Partner closely with engineers working on AI application infrastructure, contributing ML expertise to areas such as tool-use quality, routing behaviour, memory quality, and multi-step task performance.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Influence roadmap and technical direction across teams by bringing clarity to trade-offs in model behaviour, retrieval quality, experimentation, and business impact.<\u002Fpoint>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp><\u002Fbulletpoints>\u003Cbr><text>We are not really looking for Node.js experts, but for cross-language engineers for whom a specific stack is just a tool to solve a problem, not the solution itself.<\u002Ftext>\u003Cbr><\u002Fgh-responsibilities>\u003C\u002Fp>\n\u003Cp><gh-requirements>\u003C\u002Fp>\n\u003Cp><title>\u003Cstrong>About you:\u003C\u002Fstrong><\u002Ftitle>\u003C\u002Fp>\n\u003Cp><bulletpoints>\u003C\u002Fp>\n\u003Cul>\n\u003Cli><point>You have hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI applications, and understand what drives high-quality grounded responses.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>You have worked on knowledge-heavy or policy-constrained domains where correctness, consistency, and trust matter.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>You have experience building feedback loops from user behaviour, QA signals, annotations, or operational outcomes into system improvements.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>You are able to operate at both strategic and hands-on levels: defining long-term direction while also diving into data, experiments, and failure analysis.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>You have strong communication and stakeholder management skills, and can align engineering, product, and operations around quality strategy and trade-offs.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Experience with LLM-based pipelines or agentic AI systems is a strong plus, especially in areas such as tool use, routing, memory, multi-step reasoning, or human-AI orchestration.<\u002Fpoint>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp><\u002Fbulletpoints>\u003Cbr><text>\u003C\u002Fp>\n\u003Cp>Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don't tick every box, please consider applying if you feel you're the kind of person described above!\u003Cbr><\u002Ftext>\u003Cbr><\u002Fgh-requirements>\u003C\u002Fp>\n\u003Cp><gh-perks>\u003C\u002Fp>\n\u003Cp><title>\u003Cstrong>Why you'll love it here:\u003C\u002Fstrong><\u002Ftitle>\u003C\u002Fp>\n\u003Cp><bulletpoints>\u003C\u002Fp>\n\u003Cul>\n\u003Cli><point>Play a direct role in shaping the future of mobility.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Impact millions of customers and partners in 600+ cities across 50+ countries.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Work in fast-moving autonomous teams with some of the smartest people in the world.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Accelerate your professional growth with unique career opportunities.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Get a rewarding salary and stock option package that lets you focus on doing your best work.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.<\u002Fpoint>\u003C\u002Fli>\n\u003Cli><point>Take care of your physical and mental health with our wellness perks.<\u002Fpoint>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp><\u002Fbulletpoints>\u003Cbr><text>*\u003Cem>Some perks may differ depending on your location and role.\u003C\u002Fem><\u002Ftext>\u003Cbr><\u002Fgh-perks>\u003C\u002Fp>\n\u003Cp>#LI-Hybrid\u003C\u002Fp>\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\u002Fbolt-technology\u002Fstaff-machine-learning-engineer-ai-applications-berlin-337190","arbeitnow",true,false,0,"2026-05-21T20:45:24+00:00","2026-05-22T11:05:26.737057+00:00",{"jobs":25,"total":82,"facets":83},[26,48,61,74],{"id":27,"slug":28,"title":29,"company":30,"company_logo_url":31,"category":9,"subcategory":8,"job_type":10,"experience_level":32,"remote_type":33,"country":34,"city":8,"language":14,"salary_min":8,"salary_max":8,"salary_currency":35,"salary_type":36,"skills":37,"benefits":8,"description_short":43,"source_url":44,"apply_url":44,"source_site":45,"is_active":19,"is_featured":20,"views_count":21,"click_count":21,"posted_at":46,"collected_at":47,"expires_at":8,"visa_sponsorship":20,"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",[38,39,40,41,42],"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":49,"slug":50,"title":51,"company":52,"company_logo_url":8,"category":9,"subcategory":8,"job_type":10,"experience_level":8,"remote_type":12,"country":53,"city":8,"language":14,"salary_min":8,"salary_max":8,"salary_currency":15,"salary_type":8,"skills":54,"benefits":8,"description_short":57,"source_url":58,"apply_url":58,"source_site":18,"is_active":19,"is_featured":20,"views_count":21,"click_count":21,"posted_at":59,"collected_at":60,"expires_at":8,"visa_sponsorship":20,"company_size":8},54102,"computer-vision-engineer-m-w-d-cerpro-gmbh-7121d833e3b2","Computer Vision Engineer (m\u002Fw\u002Fd)","Cerpro GmbH","Berlin",[55,56],"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":62,"slug":63,"title":64,"company":65,"company_logo_url":8,"category":9,"subcategory":66,"job_type":10,"experience_level":8,"remote_type":12,"country":67,"city":68,"language":14,"salary_min":8,"salary_max":8,"salary_currency":15,"salary_type":36,"skills":8,"benefits":8,"description_short":69,"source_url":70,"apply_url":70,"source_site":71,"is_active":19,"is_featured":20,"views_count":21,"click_count":21,"posted_at":72,"collected_at":73,"expires_at":8,"visa_sponsorship":20,"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":75,"slug":76,"title":77,"company":78,"company_logo_url":8,"category":9,"subcategory":66,"job_type":10,"experience_level":8,"remote_type":12,"country":67,"city":68,"language":14,"salary_min":8,"salary_max":8,"salary_currency":15,"salary_type":36,"skills":8,"benefits":8,"description_short":79,"source_url":80,"apply_url":80,"source_site":71,"is_active":19,"is_featured":20,"views_count":21,"click_count":21,"posted_at":81,"collected_at":73,"expires_at":8,"visa_sponsorship":20,"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":84,"mode":106,"experience":110,"type":115},{"Engineering":85,"Sales":86,"Design":87,"DevOps":88,"Product":89,"Operations":90,"Customer Support":91,"HR":92,"Education":93,"Marketing":94,"Writing":95,"Finance":96,"Healthcare":97,"Other":98,"Data":82,"Legal":99,"Hospitality":100,"Construction":101,"Retail":102,"Logistics":103,"Government":104,"Manufacturing":105},5535,1404,466,131,284,1628,437,650,1430,910,26,1505,3704,9154,536,1786,1273,815,2068,398,382,{"remote":107,"onsite":108,"hybrid":109},43,108,6,{"senior":111,"mid":112,"lead":113,"entry":114},30,7,12,3,{"full-time":116,"contract":117,"part-time":117},153,2]