Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du skalierbare AI-gestützte Lösungen für Marketing im iGaming, arbeitest an Modell-Training und MLOps und gestaltest innovative, cloudbasierte Systeme in einem agilen Team.
Job Technologien
Deine Rolle im Team
- Join our division, “Sportradar ad:s”, where we provide data-driven marketing and sponsorship services to the iGaming industry.
- Our purpose-built tools and services cater to the individual marketing needs of sportsbooks and media publishers worldwide.
- Imagine working in an environment surrounded by sports data, live play-by-play statistics, virtual sports, microservices, and betting – all while maintaining an agile mindset and a commitment to delivering exceptional value for our customers.
- As a (Senior) ML Engineer in the AI team at Sportradar, you will have the opportunity to shape and contribute to all components of our AI stack—from the initial idea to the final product.
- Your work will span model training and fine-tuning, MLOps, deployment and monitoring, ensuring our AI-driven solutions are scalable, efficient, and impactful.
- We follow an experiment-based approach, continuously testing new ideas, analyzing results, and sharing insights across the division to drive innovation.
- You will collaborate closely with sales and product managers to develop cutting-edge AI solutions that enhance our marketing and sponsorship services.
- Our technology stack relies on scalable microservices hosted in the cloud, allowing us to build flexible and high-performance AI-powered products.
- From a technical perspective, our AI solutions are built on a scalable, cloud-native architecture within AWS.
- Key Responsibilities: Contribute and grow as part of a self-organized, agile software development team.
- Build our advertising technologies - from understanding the requirements to creating the fully functional data/AI solutions.
- Design and craft highly scalable, fault-tolerant ML/AI systems, while keeping your focus on quality, observability and security.
- Engage in a supportive, collaborative team environment and contribute to maintaining a positive culture.
- Share ideas and insights to different stakeholders within the division.
Unsere Erwartungen an dich
Qualifikationen
- Strong problem-solving skills and the ability to think critically when designing AI-driven solutions.
- Strong ownership, curiosity, and a drive to explore new AI technologies and methodologies.
- Challenge assumptions, bring opposing perspectives, and elevate technical discussion.
- Collaborate with product and business stakeholders to define ML strategy and ensure alignment with long-term goals.
Erfahrung
- Professional experience in Data Science, Machine Learning, or AI engineering, with a focus on Natural Language Processing (NLP), Speech Recognition, or Computer Vision.
- Experience with Generative AI is a strong plus.
- Hands-on experience with ML model training, fine-tuning, deployment, and monitoring.
- Experience with cloud-based solutions (AWS SageMaker and Bedrock) is a strong plus.
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Experience working in agile/lean environments, with a mindset for continuous learning and improvement.
Unser Angebot
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US).
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.
- A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- A company culture that promotes social aspects, sports, physical exercise and fun.
- Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions.
- Competitive salary and benefits (e.g. retirement pension and insurance plan).
- While we value the opportunities to work from home, we truly believe that being together, and sharing ideas, opportunities, trials and tribulations with teammates make us stronger and more innovative – individually and as a company.
- We strengthen the fibers of our Company each and every day, just by being together.
- For this reason, we operate a hybrid model where we are in the office 3 days a week.
- The minimum monthly salary for this position is according to the Collective Bargaining Agreement, overpayment will be considered depending on qualifications and working experience.
- We relocated to our office near the Nordbahnviertel (Praterstenr) in the 2nd district of Vienna in Q1/2024.
- Due to the top inner-city location, we are excellently connected to the public transport network and the cycle path network and are therefore very easy to reach.
- In addition, we offer our employees a state-of-the-art infrastructure near the center of the most livable city in the world.
Benefits
Gesundheit, Fitness & Fun
- 🏋🏿♂️Fitness Angebote
- 👨🏻🎓Paten- & Mentor- Programm
- 👩⚕️Betriebsarzt
- ⚽️Tischkicker o. Ä.
- 🚲Fahrradabstellplatz
- 🎳Team Events
Work-Life-Integration
Mehr Netto
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Sportradar Media Services GmbH
Leonding, Wien, Gera, Bremen
Die Sportradar-Gruppe ist eine internationale Organisation, die mehr als 1.900 Mitarbeiter an mehr als 30 Standorten weltweit beschäftigt (u.a. in Ljubljana, Minneapolis, München, Oslo, Trondheim und Warschau). Wir nehmen eine führende Position im Bereich der Schnittstelle zwischen Sport-, Medien- und Wettbranche ein und betreiben auch LAOLA1.at und LAOLA1.tv – Österreichs größte Sportnetzwerke. Trotz vollem Einsatz kommt bei uns der Spaß nicht zu kurz - wir legen großen Wert auf Teamgeist!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2001
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Werbung, Marketing, PR, Sport, Freizeit, Medien, Verlagswesen, Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(3 Bewertungen)4.0
Engineering
3.6Career Growth
3.8Culture
4.3Workingconditions
4.3
Senior Machine Learning Engineer
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
