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Machine Learning Engineer - Recommendation Systems

Mayflower • Cyprus
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Develop and improve recommendation systems for live video streams using ML and deep learning. Design and implement personalized discovery systems. Deploy ML solutions into production and maintain monitoring and data pipelines.

Key Highlights
Develop and improve offline and online recommendation systems
Design and implement personalized discovery systems
Deploy ML solutions into production and ensure performance, scalability, and observability
Technical Skills Required
Python 3 Machine Learning Deep Learning Ranking/Retrieval pipelines Personalization architectures
Benefits & Perks
EU-based employment contract
3-year Cyprus work visa with full support for relocation and visa processes
Full relocation package
Transparent performance reviews with bonus opportunities and salary adjustments
Private medical insurance
Corporate mobile plan
Interest-free support for car purchases
Mindfulness & well-being support
50% coverage of school and kindergarten fees
Fully covered sports benefits
Access to in-house electric scooters and bike rentals
Paid language courses and development programs

Job Description

  • Develop and improve offline and online recommendation systems for live video streams using both classical ML and deep learning approaches.
  • Build and optimize ranking and retrieval models that surface relevant content to users.
  • Design and implement personalized discovery systems — including context-aware feeds, donation menu recommendations, new recommendation scenarios and content layouts that continuously enhance the personalized user experience across the platform.
  • Deploy ML solutions into production, integrating them with backend systems and ensuring performance, scalability, and observability.
  • Set up and maintain monitoring, retraining, and data pipelines for deployed models.
  • Evaluate recommendation quality and collaborate closely with the analytics team to design and interpret A/B tests that measure model impact.

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