Mid Level Machine Learning Engineer

Sportradar; Wien; Vor Ort; EUR 100 000 - 125 000; Vollzeit

Zusammenfassung

A leading sports data company located in Vienna is seeking a Data Scientist to join their agile team. You will design and develop AI-driven solutions in a dynamic environment while collaborating with international teams. Ideal candidates have experience in Data Science, with strong Python skills and familiarity with cloud solutions. Join us to shape the future of sports data services and enjoy a vibrant and inclusive workplace culture.

Leistungen

Competitive salary

Professional development plan

Inclusive community events

Team challenges and tournaments

Qualifikationen

• Professional experience in Data Science, Machine Learning, or AI engineering.
• Strong problem-solving skills and critical thinking when designing AI solutions.
• Hands-on experience with ML model training and deployment.

Aufgaben

• Contribute to a self-organized, agile software development team.
• Design scalable, fault-tolerant ML/AI systems.
• Collaborate with stakeholders within the division.

Kenntnisse

Data Science

Machine Learning

AI Engineering

Natural Language Processing

Python

TensorFlow

PyTorch

Cloud Solutions (AWS)

Jobbeschreibung

Job Description

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. We’re passionate about our work and deeply care about our people. If you’re ready for the challenge, join us in growing, innovating, and developing!

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 fully functional data/AI solutions.
• Design and craft highly scalable, fault-tolerant ML/AI systems while focusing on quality, observability and security.
• Engage in a supportive, collaborative team environment and contribute to maintaining a positive culture.
• Share ideas and insights to stakeholders within the division.

About You

Professional experience in Data Science, Machine Learning, or AI engineering, with a focus on NLP, Speech Recognition, or Computer Vision.

Experience with Generative AI is a strong plus.

Strong problem‑solving skills and the ability to think critically when designing AI‑driven solutions.

Hands‑on experience with ML model training, fine‑tuning, deployment, and monitoring 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.

Strong ownership, curiosity, and a drive to explore new AI technologies and methodologies.

YOU MIGHT BE A GOOD FIT IF YOU:

• 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.

Our Offer

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the 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 digital sports environment.
• Vibrant and inclusive community, including Women in Tech and Pride groups.
• 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).

Recruitment Process

Initial Screening: a quick chat with our Talent Acquisition Partner to understand your background and expectations.

Theoretical Interview: 60 minutes to discuss your technical skills on the theoretical level with the technical team.

Coding Interview: 60 minutes of live coding where we assess your approach (clean code and thinking process).

System Design Interview: 60 minutes to solve a high‑level problem with certain requirements.

Final Steps: receive final feedback while onsite visit might be requested and, if successful, an offer!

Location

We relocated to our office near the Nordbahnviertel (Praterstern) in the 2nd district of Vienna in Q1/2024. The location offers excellent connectivity to public transport and cycle paths, with state‑of‑the‑art infrastructure in the city center.

EEO Statement

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. If you’re willing to learn and grow with us, we invite you to join our team!