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2 дня назад

Senior AI/ML Platform Engineer (Cloud & DevOps)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR
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 AI/ML Platform Engineer (Cloud & DevOps) (Generative AI/NLP): Building and operating AWS cloud infrastructure, CI/CD pipelines, self-service developer platforms, and operational tooling for research and drug development applications with an accent on secure delivery, reliability, and scalable platform engineering. Focus on designing infrastructure standards, automating incident response and build fixes with AI agents, and supporting data scientists and engineers across production environments.

Location: Prague, Czechia; hybrid working model

Company

hirify.global is a multinational pharmaceutical organization using AI/ML, data science, and NLP to support drug discovery, development, and post-market surveillance.

What you will do

  • Build self-service platform paths for data scientists and developers to deliver applications and services to users.
  • Maintain and evolve AWS infrastructure, Infrastructure as Code, CI/CD pipelines, data pipelines, APIs, and application environments.
  • Define infrastructure, CI/CD, operational, reliability, and security standards across the team.
  • Design technical solutions, evaluate architectural trade-offs and risks, and validate requirements with stakeholders.
  • Provision, scale, patch, upgrade, monitor, and optimize cloud environments, including cost, capacity, and performance.
  • Improve operational excellence through SRE metrics, incident management, root cause analysis, and AI-assisted alert triage and remediation.

Requirements

  • 5+ years of professional experience in cloud, DevOps, or platform engineering.
  • 3+ years of authoring Infrastructure as Code, such as Terraform, and CI/CD pipelines, such as GitHub Actions, on a major cloud provider; AWS is preferred.
  • Experience owning production operations, including infrastructure monitoring and incident management.
  • Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.
  • Required technical skills include AWS, cloud networking, data engineering, generative AI, Git, GitHub, machine learning, Python, shell scripting, software development, system design, system integration, and testing.

Culture & Benefits

  • Work in a cross-disciplinary team of data scientists, bioinformaticians, and engineers on global projects in an international environment.
  • Hybrid and flexible working model with opportunities for professional development, specialized learning platforms, conferences, and communities of practice.
  • Pension and health insurance contributions, competitive salary and incentive pay, and a cafeteria of tax-free benefits.
  • 5 weeks of annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements, 40 paid volunteering hours annually, and 12 weeks of parental contribution.
  • Opportunities to contribute to presentations, white papers, manuscripts, and open-source code releases.
  • Company laptop and iPhone, parking, refreshments, wellness facilities, discounts, and other workplace amenities.

Hiring process

  • Current employees and contingent workers must apply through the specified internal application links.
  • Search firm representatives may submit candidates only under a valid written search agreement; unsolicited submissions are not accepted.
  • The posting is effective until 11:59:59 PM on November 23, 2026.

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