11 beste Stellen als forward deployed engineer, genai, google cloud – aktuell auf Personalsuche

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AI Engineer / Data Scientist (d/f/m)
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AI Engineer / Data Scientist (d/f/m)

hello again GmbH -
Leonding, OÖ

Jetzt bewerben

Details zur Stelle

vor 2 Tagen

Qualifikationen

Master

Vollständige Stellenbeschreibung

At hello again, we empower companies to build lasting customer relationships through a sophisticated digital loyalty solution. We run 1,000+ white-label loyalty programs across Europe, serving 17M+ end consumers in 28 countries. As we move into the next era of loyalty, we are looking for an AI Engineer & Data Scientist (d/f/m) to further build the intelligent core of our platform.

In this role you turn transaction and behavioral data into measurable impact. You build the models, pipelines and experiments that move us from a “tool to run loyalty” to a platform that “runs loyalty - and proves it works.”

Your Tasks

Machine Learning & Data Science: Build and improve ML models that drive personalization and customer insights - e.g. segmentation, churn and behavior prediction, and uplift measurement.
Intelligent, Automated Features: Help develop AI-driven, personalized features across our platform, from automated messaging to smart campaign optimization.
LLM Integration: Integrate large language models into our product and build robust evaluation and grounding to ensure reliable, high-quality output at scale.
Experimentation & Measurement: Design and run A/B tests and causal measurement to prove the real impact of AI-driven features.
Data & ML Pipelines: Work with large-scale transaction and behavioral data, ensure data quality and instrumentation, and bring models reliably into production.
Prototyping & Impact: Rapidly prototype with modern AI tools, validate ideas directly on real data, and drive data-informed decisions across the team.

Your Qualifications

What matters more than a specific number of years is how you think and what you have already built - whether you are an early-career talent with strong projects or an experienced practitioner. Convince us with your skill set and mindset.

Data Science Foundations: Solid grasp of statistics, machine learning and experiment design (clustering, prediction, uplift, significance) - applied in practice, not just in theory.
Engineering Skills: Confident with Python (e.g. Pandas, common ML frameworks) and able to bring models into production in a clean, maintainable way.
LLM & GenAI Experience: Hands-on experience with modern language models - prompting, RAG/grounding, tool use, and above all the systematic evaluation of AI outputs.
Experiment & Causal Thinking: You don't just want to build models - you want to prove they work, with clean measurement and honest attribution.
AI-First Approach: You use AI tools daily, have built prototypes yourself, and hold a well-founded view on how AI products will evolve over the coming years.
Proactive Working Style: A structured, solution-oriented and self-directed approach to new, open-ended problems.
Language: Professional English skills; German is a welcome plus.
Location: You are ready to join our team on-site in Leonding (Linz) or Vienna.

That’s waiting for you

Frontier Topics from Day One: Shape our most strategic product initiatives - from Autopilot to our Intelligence Layer to autonomous, hyper-personalized communication.
Growth & Mentorship: Advance your career in a culture of continuous learning, intensive onboarding and proactive support.
State-of-the-Art Tech: Work with a modern stack and choose the hardware that maximizes your productivity.
Team Spirit: Join a cohesive team with numerous events throughout the year, plus supported fitness memberships and shared sport activities.
Prime Location: Benefit from a modern office with parking and excellent public transport connectivity.
Global Impact: Shape the future of our platform alongside international talent in a high-growth, value-driven setting.

Let’s shape the future of digital loyalty together! We offer a base salary of € 60,000 gross per year, with a market-competitive overpayment depending on your track record and expertise.

More insights:

Office Tour mit Lukas
YouTube: hello again - Kundenbindung leicht gemacht
Instagram: Instagram (@helloagain.official)

Awarded kununu Top Company 2022, 2023, 2024, 2025 & 2026

Jetzt bewerben

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