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
Noch nicht perfekt?
- AlmediaVollzeitnur vor OrtBerufserfahrenBerlinab 130.000 / Jahr
- Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 140.000 / Jahr - Helsing
AI Research Engineer - ML Engineering(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München - FREENOW
Senior Machine Learning Software Engineer(m/w/x)
Vollzeitnur vor OrtSeniorHamburg, Berlin - Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 190.000 / Jahr
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
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?
- Almedia
Staff Machine Learning Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 130.000 / Jahr - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 140.000 / Jahr - Helsing
AI Research Engineer - ML Engineering(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München - FREENOW
Senior Machine Learning Software Engineer(m/w/x)
Vollzeitnur vor OrtSeniorHamburg, Berlin - Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 190.000 / Jahr