Dein persönlicher KI-Karriere-Agent
MLOps Engineer(m/w/x)
Designing and scaling backend systems for payout automation and data-driven optimization. Expertise in Python, SQL, software architecture, and cloud environments (AWS/GCP) required. Equity in Almedia, transport subsidy, and language learning.
Anforderungen
- Expertise in building large-scale backend systems in production
- Mastery of Python
- Mastery of software architecture principles
- Strong programming background in SQL
- Hands-on experience in cloud environments (AWS/GCP)
- Experience with data pipelines
- Experience with A/B testing infrastructure
- Experience with algorithmic personalisation
- Ability to provide technical leadership
- Ability to influence technical and non-technical stakeholders
- Passion for gaming
- Strong understanding of player behaviour
- Experience with adtech
- Experience with monetisation platforms
- Experience with the gambling industry
- Familiarity with gaming KPIs
- Full ownership of outcomes
- Thrive in solving ambiguous challenges
- Set high technical standards
- Write clean, elegant code
- Inspire others to set high technical standards
- Pragmatic and solution-focused
- Love building systems that deliver impact quickly and reliably
Aufgaben
- Design backend systems for payout automation
- Scale systems for growth experiments
- Optimize data-driven systems at scale
- Participate in architecture and automation
- Develop high-performance Python systems
- Build automated payout structure generation
- Implement personalized payout algorithms
- Develop continuous split-testing infrastructure
- Integrate real-time data and ML pipelines
- Lead end-to-end delivery of backend systems
- Set technical direction for Python development
- Establish coding standards for ML and data projects
- Align technical architecture with business priorities
- Reduce system complexity and improve efficiency
- Partner with ML engineers and product teams
- Build frameworks for experiment versioning
- Evaluate experiment outcomes
- Refine system reliability and performance
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- AWS
- GCP
Benefits
Attraktive Vergütung
- Equity in Almedia
Öffi Tickets
- Transport subsidy
Gratis oder Vergünstigte Mahlzeiten
- Breakfasts and lunches
Weiterbildungsangebote
- Language learning
Gesundheits- & Fitnessangebote
- Urban Sports Club
Gefällt dir diese Stelle?
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MLOps Engineer(m/w/x)
Designing and scaling backend systems for payout automation and data-driven optimization. Expertise in Python, SQL, software architecture, and cloud environments (AWS/GCP) required. Equity in Almedia, transport subsidy, and language learning.
Anforderungen
- Expertise in building large-scale backend systems in production
- Mastery of Python
- Mastery of software architecture principles
- Strong programming background in SQL
- Hands-on experience in cloud environments (AWS/GCP)
- Experience with data pipelines
- Experience with A/B testing infrastructure
- Experience with algorithmic personalisation
- Ability to provide technical leadership
- Ability to influence technical and non-technical stakeholders
- Passion for gaming
- Strong understanding of player behaviour
- Experience with adtech
- Experience with monetisation platforms
- Experience with the gambling industry
- Familiarity with gaming KPIs
- Full ownership of outcomes
- Thrive in solving ambiguous challenges
- Set high technical standards
- Write clean, elegant code
- Inspire others to set high technical standards
- Pragmatic and solution-focused
- Love building systems that deliver impact quickly and reliably
Aufgaben
- Design backend systems for payout automation
- Scale systems for growth experiments
- Optimize data-driven systems at scale
- Participate in architecture and automation
- Develop high-performance Python systems
- Build automated payout structure generation
- Implement personalized payout algorithms
- Develop continuous split-testing infrastructure
- Integrate real-time data and ML pipelines
- Lead end-to-end delivery of backend systems
- Set technical direction for Python development
- Establish coding standards for ML and data projects
- Align technical architecture with business priorities
- Reduce system complexity and improve efficiency
- Partner with ML engineers and product teams
- Build frameworks for experiment versioning
- Evaluate experiment outcomes
- Refine system reliability and performance
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- AWS
- GCP
Benefits
Attraktive Vergütung
- Equity in Almedia
Öffi Tickets
- Transport subsidy
Gratis oder Vergünstigte Mahlzeiten
- Breakfasts and lunches
Weiterbildungsangebote
- Language learning
Gesundheits- & Fitnessangebote
- Urban Sports Club
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Almedia
Branche
Marketing
Beschreibung
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
Noch nicht perfekt?
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