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12 минут назад

MLOps Engineer (AI)

Формат работы
remote (только Portugal)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
MLOps Engineer (AI): Building, deploying, and maintaining scalable machine learning pipelines and production systems with an accent on inference serving, automated data and training workflows, and infrastructure reliability. Focus on designing CI/CD and observability systems, managing deployed APIs and ML platforms, and securing containerized deployments.

Location: Remote, Portugal

Company

hirify.global develops software, platforms, and services for the iGaming industry, supporting Pragmatic Play and other leading brands through a global workforce of more than 2,500 professionals.

What you will do

  • Design and operate scalable inference and model-serving systems for machine learning workloads.
  • Build and maintain automated data, training, inference, testing, validation, and deployment pipelines.
  • Monitor deployed APIs and create observability dashboards and alerting for model and infrastructure health.
  • Create and manage internal platforms for configuring and operating ML systems in production.
  • Implement security best practices for containerized deployments and data handling.
  • Collaborate with Data Scientists, Software Engineers, and platform teams to automate model lifecycle management.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proficiency in Python with strong software architecture and development skills.
  • Expertise in cloud platforms, preferably Azure, for scalable and reliable ML systems.
  • Strong knowledge of version control, package management, and dependency tracking.
  • Expertise in Docker-based containerization.
  • Experience with monitoring, logging, and alerting for ML systems and infrastructure.
  • Knowledge of general machine learning concepts and algorithms.
  • Proven experience deploying and managing ML models in production environments.
  • Knowledge of data modelling, ETL processes, and SQL and NoSQL database systems.

Culture & Benefits

  • Remote workplace in Portugal.
  • Permanent contract.
  • Technology team environment within a global software and services organization.

Hiring process

  • Submit a CV through the application process; applying takes approximately 10 minutes.

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