Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du hochskalierbare AI- und ML-Lösungen, trainierst Modelle, optimierst Systeme und implementierst Cloud-basierte Anwendungen, um datengetriebene Marketingstrategien zu verbessern.
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.
- The AI team plays a crucial role in expanding and enhancing our product offerings with cutting-edge Machine Learning (ML) and Generative AI solutions.
- We leverage AI to unlock new opportunities for our clients, providing smarter, data-driven marketing strategies and automating complex decision-making processes.
- Additionally, we streamline internal operations by generating in-depth analytics, enabling our teams to work more efficiently and make better-informed decisions.
- 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.
- We leverage Infrastructure-as-Code (IaC) with Terraform to ensure consistency and efficiency across our environments.
- Our backend is predominantly developed in Python, with AWS Lambda powering our serverless compute, Amazon S3 for data storage, and CloudWatch for monitoring and observability.
- For AI/ML workloads, we rely on Amazon SageMaker and Bedrock, enabling seamless model training, fine-tuning, and deployment.
- Our analytics stack includes AWS Athena and QuickSight, providing powerful insights to drive data-driven decision-making.
- Continuous integration and deployment (CI/CD) are managed through GitLab CI, ensuring smooth and reliable software delivery.
- As an engineering team, we focus on building extensible, well-abstracted, and maintainable systems.
- Thoughtful refactoring and robust testing practices guide our development process, ensuring high-quality, scalable AI solutions.
- 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.
- You might be a good fit if you enjoy working in an experiment-based environment, with a proactive approach to testing hypotheses, analyzing results, and sharing insights.
- Are comfortable communicating findings, collaborating with cross-functional teams, and contributing to data-driven decision-making.
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.
Benefits
Gesundheit, Fitness & Fun
- 🏋🏿♂️Fitness Angebote
- 👨🏻🎓Paten- & Mentor- Programm
- 👩⚕️Betriebsarzt
- ⚽️Tischkicker o. Ä.
- 🚲Fahrradabstellplatz
- 🎳Team Events
Work-Life-Integration
Mehr Netto
Essen & Trinken
Job Standorte
Standort Wien
Hosnedlgasse 25
1220 Wien
Österreich
Themen mit denen du dich im Job beschäftigst
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
Career Growth
3.8Workingconditions
4.3Culture
4.3Engineering
3.6
Senior Data Scientist/Machine Learning
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
