Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
69
Хорошая вакансия
развернуть
Задачи MLOps описаны понятно и включают работу с продакшен-системами, но отрасль iGaming и широкий охват инфраструктуры могут повлиять на ваше решение.
Спорная отрасль
Актуальный стек
Работа с продакшеном
?Широкий круг задач
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →