• Build the ML stack from the ground up • Detecting anomalies in API traffic • Own the full lifecycle • Design experiments and metrics • Work with text and structured behavioral data • Leverage LLMs where they add value • Shape the technical direction

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do - Design and implement end-to-end document intelligence pipelines on AWS - Develop and optimize ML models for document classification,segmentation, and field extraction - Build scalable data processing systems handling PDFs up to 2000 pages - Collaborate with subject matter experts to create and refine requirements for extraction - Own features from research through production deployment and monitoring - Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring - Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic) - Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions) - Advanced knowledge of SQL and Data Modeling - Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs - Experience in experiment design (power analysis and hypothesis testing) - Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment - Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions - Experience owning a feature from concept to production, including proposal, discussion, and execution Nice to have - Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems) - Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow) - Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks) - Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.) English level Intermediate+ Legal & Hiring Information - Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more - Reasonable accommodations are available to enable individuals with disabilities to perform essential functions - Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. - International projects - In-office, hybrid, or remote flexibility - Medical healthcare - Recognition program - Ongoing learning & reimbursement - Well-being program - Team events & local benefits - Sports compensation - Referral bonuses - Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey! YOUR TEAM To support our "AI Performance Management" team, we are currently looking for an intern. In your role you get first-hand experience in developing model/data debugging/debiasing methods and will be an integral part of the team that works on providing certifications of performance related requirements relevant to our full software stack. WHAT YOU WILL DO - Research and assess novel methods for model/data debugging/debiasing enhancing the model robustness for the perception task in Automated Driving - Investigate, train and evaluate neural networks for different downstream tasks (e.g.  classification, object detection or beyond) - Implement, apply, and evaluate model/data debugging/debiasing methods on trained perception models and on popular benchmarks - Develop algorithmic ideas addressing open research challenges related to your topic WHO YOU ARE - Enrolled student in the area of computer science, electrical engineering, data science, robotics or similar field (please specify the expected date of your graduation or end of enrollment) - Profound knowledge in machine learning, especially deep neural networks in safety and robustness aspects - Proficiency in Python and deep learning frameworks, e.g., PyTorch - Experience in perception tasks like object detection, or beyond - Strong communication skills and analytical understanding NICE TO KNOW - Remote work options within Germany - Duration: 3 - 6 months - 35 hours/week - Salary: 13,90 €/hour At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.

Wir sind CARIAD, das Automotive-Software-Unternehmen der Volkswagen Group. Unsere Teams entwickeln Softwareplattformen und digitale Kundenfunktionen für legendäre Marken wie Audi, Volkswagen und Porsche – und unterstützen so die Volkswagen Group auf ihrem Weg zum führenden automobilen Technologiekonzern. CARIDIANS in Softwarezentren in Deutschland, den USA, China, Estland und Indien arbeiten daran, die Automobilität für alle neu zu gestalten. DEIN TEAM Zur Unterstützung unseres Teams „AI Performance Management“ suchen wir derzeit eine:n Praktikant:in. In deiner Rolle erhältst du Einblicke in die Entwicklung von Methoden zur Modell-/Daten-Debugging und -Debiasing und bist Bestandteil des Teams, das an der Zertifizierung leistungsbezogener Anforderungen für unseren gesamten Software-Stack arbeitet. DEINE AUFGABEN - Recherche und Bewertung neuer Methoden für Modell-/Daten-Debugging und -Debiasing zur Verbesserung der Modellrobustheit bei Wahrnehmungsaufgaben im automatisierten Fahren - Untersuchung, Training und Evaluierung neuronaler Netzwerke für verschiedene nachgelagerte Aufgaben (z. B. Klassifikation, Objekterkennung oder darüber hinaus) - Implementierung, Anwendung und Bewertung von Modell-/Daten-Debugging- und Debiasing-Methoden auf trainierten Wahrnehmungsmodellen sowie auf gängigen Benchmarks - Entwicklung algorithmischer Ansätze zur Lösung offener Forschungsfragen in deinem Themengebiet DAS BRINGST DU MIT - Laufendes Studium im Bereich Informatik, Elektrotechnik, Data Science, Robotik oder einem vergleichbaren Studiengang (bitte gib dein voraussichtliches Abschlussdatum bzw. das Ende deiner Einschreibung an) - Fundierte Kenntnisse im Bereich Machine Learning, insbesondere tiefer neuronaler Netzwerke im Hinblick auf Sicherheit und Robustheit - Gute Kenntnisse in Python und Deep-Learning-Frameworks, z. B. PyTorch - Erfahrung mit Wahrnehmungsaufgaben wie Objekterkennung oder ähnlichen Bereichen - Starke Kommunikationsfähigkeiten und analytisches Denkvermögen NICE TO KNOW - Möglichkeit für Remote-Arbeit innerhalb Deutschlands - Dauer: 3–6 Monate - 35 Stunden/Woche - Vergütung: 13,90 €/Stunde Bei CARIAD schätzen wir Individualität und Vielfalt – denn wir sind überzeugt, dass uns unsere Unterschiede stärker machen. Wir setzen uns aktiv dafür ein, Teams mit unterschiedlichen Hintergründen, Perspektiven und Erfahrungen aufzubauen. Unser Ziel ist ein Arbeitsumfeld, in dem sich alle wertgeschätzt fühlen und ihre Stärken einbringen können. Wenn du aufgrund einer Behinderung Unterstützung bei deiner Bewerbung brauchst, melde dich gerne bei uns unter careers@cariad.technology – wir helfen dir gerne weiter.