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Senior Machine Learning Engineer (Igaming)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Malta
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (Igaming): Designing and deploying advanced machine learning models for production systems with an accent on the full ML lifecycle and performance optimization. Focus on integrating scalable models with software systems, utilizing Python and major cloud platforms to drive complex business solutions.

Location: Malta

Company

hirify.global is a leading international igaming company with over 1700 employees and a strong presence across 7 global offices.

What you will do

  • Design, implement, and optimize machine learning models for complex business problems.
  • Manage the end-to-end ML lifecycle from data collection and preprocessing to deployment and monitoring.
  • Collaborate with data scientists, engineers, and product managers to integrate models into production.
  • Write maintainable, high-quality, production-ready code for ML services.
  • Stay current with machine learning advancements to improve system performance.
  • Mentor junior team members and foster a culture of continuous learning.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Senior Machine Learning Engineer with a track record of production model deployment.
  • Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure.
  • Strong problem-solving skills with the ability to derive actionable insights from complex datasets.
  • Excellent communication skills for technical and non-technical stakeholders.

Culture & Benefits

  • Fast-paced and fun international working environment.
  • Opportunity to work for a major global igaming operator.
  • Culture focused on initiative and adrenaline-driven innovation.
  • Supportive team environment within a 1700-person organization.

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