Almedia
Staff Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperienced
Berlin
from 130,000 / year
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ALAlmedia
MLOps Engineer(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- GCP
Benefits
Competitive Pay
- Equity in Almedia
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Almedia and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ALAlmedia
MLOps Engineer(m/w/x)
Berlin
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- GCP
Benefits
Competitive Pay
- Equity in Almedia
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Almedia and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Almedia
Industry
Marketing
Description
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
Not a perfect match?
- Almedia
Staff Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlinfrom 130,000 / year - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - SumUp
Senior AI Backend Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Helsing
AI Research Engineer - ML Engineering(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlinfrom 190,000 / year