Machine Learning Engineer

September 29

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Eneba

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eCommerce • Gaming • Marketplace

Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.

201 - 500 employees

Founded 2018

🛍️ eCommerce

🎮 Gaming

🏪 Marketplace

📋 Description

• Collaborate with cross-functional teams to translate business requirements into technical solutions. • Partner with Data Engineers to design and maintain automation for machine learning training, quality assessment, and model release process. • Implement MLOps practices like CI/CD pipelines and model deployment using appropriate tools and frameworks. • Stay up to date with industry trends and incorporate new tools or technologies as seen fit. • Provide technical leadership by mentoring team members and contributing to technical discussions. • Support Eneba's mission to build an open, safe and sustainable gaming marketplace by enabling data-driven decision-making across the organization.

🎯 Requirements

• 3+ years of experience in ML engineering or in a similar role. • Extensive experience working with Python. • Strong understanding of Machine Learning algorithms. • Experience with Deep Learning frameworks such as PyTorch, TensorFlow, or Keras. • Experience with MLOps tools like MLflow or similar platforms for model lifecycle management. • Familiarity with Databricks would be a significant advantage. • Good English level required; proficiency preferred.

🏖️ Benefits

• Opportunity to join our Employee Stock Options program. • Opportunity to help scale a unique product. • Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. • Paid volunteering opportunities. • Work location of your choice: office, remote, opportunity to work and travel. • Personal and professional growth supported by well-defined feedback and promotion processes.