Staff Forward Deployed AI Engineer (m/f/d)
Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.
Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.
Führt das Controlling-Team, verantwortet Budget, Forecast und Reporting und setzt KI-Tools in Controlling-Prozessen ein.
Teamleiter KI Datenmanagement (m/w/d) Bei uns geht es nicht nur um Bits und Schraubendreher – sondern um Menschen, die mit Leidenschaft anpa
Almost everything Peec shows a customer passes through a model at some point.
Tätigkeiten Verantwortung für die strategische Ausrichtung, den Aufbau und die Weiterentwicklung der Datenstrategie und des KI-Portfolios in
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initi
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
include (but not limited to): - Own whole areas of the public sector product end to end: architecture, UX, frontend, backend and infrastruct
Strategic Technical Partnership: Partner with product and design as a technical peer - shaping scope, challenging assumptions, and influenci
Lead and develop the Advanced Technologies Team, driving innovation in Data Science, Artificial Intelligence, Machine Learning, and Equipmen
Entwickelt selbstkorrigierende Agenten-Schleifen für KI-generierten Embedded-Code und definiert deren Verifikationsstrategie inkl. CI und Traceability.
We re looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products.
Leitet ein Team, das skalierbare Analysepipelines für Spatial-Omics-Daten entwickelt und agentische KI-Workflows zur Automatisierung von Analysen aufbaut.
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
Lead Data Scientist or Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Solu
brings together applied LLM engineering and solid backend engineering in TypeScript.
Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a l
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
Leitet SAP-BTP-KI-Projekte, entwirft agentenbasierte KI-Workflows und skalierbare Architekturen und berät Kunden von der Strategie bis zur Umsetzung.
Leitet SAP-BTP-Projekte, entwirft Architekturen und agentenbasierte KI-Workflows und berät Kunden von der Strategie bis zur Umsetzung.
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description ABOUT US: Sportradar is a sports data and technology company.
As Staff Forward Deployed AI Engineer, you work like an internal consultant: you are placed in other departments and business units, talk with the business, find the real problems, cut through complexity, simplify processes and then build the AI solution. You work independently with little supervision, navigate organisational complexity and competing priorities to get things done, own the technical strategy for your use cases, and lead delivery of LLM and agentic systems from discovery to production. THE CHALLENGE: - Meet with department leads and teams to understand how work is done today, identify problems and frame them clearly. - Break down unclear, cluttered situations into defined problems, scope, success criteria and a delivery plan. - Streamline and simplify business processes, and decide where AI helps and where it does not. - Navigate stakeholders, approvals and competing priorities pragmatically to keep work moving. - Own technical strategy and architecture for your internal engagements. - Design and deliver production agentic and LLM systems, including retrieval (RAG), tool use, context and prompt design, guardrails and observability. - Define and run evaluations (test sets, regression suites, monitoring) that guide design and model choices. - Mentor colleagues, review designs and share reusable patterns.
ABOUT YOU: - Typically 8+ years of software engineering experience, including senior work with business stakeholders. - Strong communication with business and technical audiences, including senior stakeholders. - Self-motivated and able to work independently with little supervision on ambiguous work. - Ability to navigate organisational complexity and competing priorities to get things done. - Strong problem-finding and analytical skills; experience simplifying complex processes or systems. - Experience building and operating production systems; strong system design. - Hands-on experience with LLMs and agents (prompting, tool use, RAG, evaluation). - Strong Python; experience with data pipelines and a major cloud platform (AWS, Azure or GCP). Nice to have - Consulting or internal-consulting experience. Working model Based in Vienna.
Some travel between Sportradar offices may be required; the extent will be confirmed by the hiring team. OUR OFFER: - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US) including various social events and teambuilding. - Ability to shape your own workday and career via a clearly defined professional and personal development plan. - Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company.
The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid/on-site model, with team members working in the office four days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location - your local point of contact can provide further details.
OUR RECRUITMENT PROCESS: - Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Assessment: A short (home) task to showcase your technical skills. - Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution, and also discuss team fit. - Final Step: Receive feedback and, if successful, an offer! Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!
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