Role Description We are looking for a Senior MLOps specialist. It will be full-time for about 3 months. We are flexible on location and rate for the right person. Mission - Build and run a scalable, traceable, FDA-ready data platform bridging on-prem DGX and AWS for our 2026 submission. Key Responsibilities - Implement ingestion + QC automation starting with CT DICOM, expanding to video/C-Arm and radiology reports. - Implement/operate distributed processing on AWS Batch (Spot) for large-scale QC + predictions + derivatives. - Deploy ClearML for dataset versioning/lineage and experiment tracking (runs/metrics/artifacts; provenance). - Optimize training data access using Lance (or equivalent) for fast loading and incremental updates. - Build a PostgreSQL-backed enrichment service for metadata/labels/predictions independent of raw media (optional search via OpenSearch/text+vector). - Integrate/operate labeling workflows (Encord preferred; alternatives acceptable), incl. RBAC/QC/audit trail + algorithmic label ingestion. - Establish a governed clinical validation environment meeting 21 CFR Part 11 expectations (access control, audit trail/WORM, provenance) and HIPAA/PHI handling. Qualifications - Knowledge of medical imaging (CT, DICOM). - Experience with data ingestion pipelines. - Expertise in data quality (QC) automation. - Familiarity with distributed data processing. - Experience in experiment tracking and dataset versioning. - Knowledge of metadata and label management. - Understanding of clinical AI validation. - Familiarity with 21 CFR Part 11 compliance. - Knowledge of HIPAA/PHI handling. - Experience with RBAC, audit trails, and WORM storage. - Familiarity with vector search and media processing. - Experience in annotation/labeling workflows. - Understanding of provenance and data lineage. - Experience with PACS integration and radiology workflows. Requirements - Proficient in Python. - Experience with AWS (S3, AWS Batch, EC2 Spot). - Familiarity with Kubernetes, HPA, and Karpenter. - Knowledge of Networking (VPC, VPN UiFI). - Experience with Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, OpenSearch, and FFmpeg.

Role Description Du brennst für Nachhaltigkeit, Digitalisierung und KI? Dann werde Teil unseres Nachhaltigkeits-Teams und unterstütze unsere Kunden bei der Berechnung ihrer Treibhausgasemissionen, damit sie fundierte, nachhaltige Entscheidungen treffen können. Bei uns bringst du dich im Bereich Kundenbetreuung, Research und Produktentwicklung ein und wirkst damit aktiv an der Weiterentwicklung unserer Services mit, um die Genauigkeit unserer Umweltanalysen zu verbessern und die Kundenzufriedenheit zu steigern. Responsibilities - Du unterstützt bei der Vorbereitung von Kundenterminen zu vielfältigen Fragestellungen im Bereich Bilanzierung von Treibhausgasemissionen. - Du recherchierst zu aktuellen Fragestellungen im Nachhaltigkeitsdiskurs sowie zur entsprechenden Gesetzgebung. - Du entwickelst und optimierst unsere Bilanzierungsmethoden, sodass sie den aktuell geltenden Standards und Richtlinien entsprechen. - Du unterstützt das Team bei der Weiterentwicklung unserer KI, um unsere Tools noch leistungsfähiger zu machen. Qualifications - Du befindest dich im Bachelor- oder Masterstudium in Naturwissenschaften, Nachhaltigkeit, Informatik oder einem verwandten Bereich und hast noch mind. 1 Jahr Studienzeit verbleibend. - Du besitzt erste Erfahrungen in der CO2-Bilanzierung auf Produkt- und Unternehmensebene und verfügst über fundierte Kenntnisse der CO2-Bilanzierungsstandards (z.B. GHG-P, ISO). - Du bringst grundlegende Kenntnisse in Emissionsfaktordatenbanken mit (z.B. ecoInvent, GaBi). - Du verfügst über allgemeine Kenntnisse in relevanten regulatorischen Nachhaltigkeitsvorgaben (CSRD, EU-Taxonomie, CBAM, CSDDD). - Du bringst sehr gute MS Office-Kenntnisse mit, insbesondere im Umgang mit Excel. - Grundkenntnisse in Python für die Datenanalyse und/oder ETL sind von Vorteil. - Sehr gute Englisch- und gute Deutschkenntnisse in Wort und Schrift. - Verfügbarkeit an 2-3 Tagen pro Woche. Benefits - Remote-First-Culture: Du hast die Freiheit von überall in Deutschland aus zu arbeiten. - Offices: Wenn du Lust auf Office Vibes hast, kannst du jederzeit in unserem Büro in Münster vorbeischauen. Darüber hinaus finden Meetings auch in München, Berlin, Düsseldorf und Hamburg statt. - Flexible Arbeitszeiten: Gestalte deinen Arbeitstag nach deinen Bedürfnissen – ohne feste Kernarbeitszeiten, solange es mit deinem Tagesgeschäft & Team vereinbar ist. - Team Days: Unsere Team Days fördern den Austausch abseits des Alltags, ermöglichen neuen Mitarbeitenden das Team kennenzulernen und stärken unsere Unternehmenskultur. - Ausstattung: Du arbeitest mit einem leistungsstarken MacBook, dass dir eine optimale Unterstützung in deiner täglichen Arbeit bietet. - Weiterbildung: Mit unserem Udemy-Pro-Zugang erhältst du uneingeschränkten Zugriff auf Weiterbildungen in deinem Fachbereich und kannst dich so optimal in deinem Bereich weiterentwickeln. - Weitere Benefits: Altersvorsorge von thyssenkrupp, Fahrrad Leasing, Corporate Benefits und viele weitere Extras warten auf dich!

• Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data. • Designing experiments and prototypes to test the viability and efficiency of new AI models. • Translate research findings into real-world applications by creating algorithm prototypes in our codebase. • Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle. • Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience. • Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms. • Document your work clearly and concisely, fostering knowledge sharing within the team.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description What you get to do in this role: You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. - Build the best cloud-based AI/ML solutions to power intelligent enterprise services - Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software - Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users Qualifications To be successful in this role you have: - 3+ years of management experience, proficiency in providing feedback to work group strategies, policies, and plans - Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms - Experience building new products that use challenging algorithms - Expertise in coding efficient, object-oriented, modularized and quality software - Knowledge of core AI/ML techniques and algorithms - Knowledge of unit testing, profiling, and code tuning Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.