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9 дней назад

Technical Analyst (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
CR
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
Technical Analyst (AI): Supporting enterprise Analytics and Data Science platforms for a pharmaceutical project with an accent on AWS, Kubernetes, infrastructure automation, and platform operations. Focus on coordinating stakeholders, defining requirements, managing deployments and testing, and resolving incidents across cloud-based environments.

Location: Prague, Czechia

Company

hirify.global is an IT consultancy delivering software, AI, ML, BI, web, and automation solutions for startups, mid-sized companies, and large corporations across multiple industries.

What you will do

  • Coordinate activities between business, engineering, infrastructure, and vendor teams.
  • Gather and analyze requirements, create user stories, and define acceptance criteria.
  • Support enterprise Analytics and Data Science platforms, AWS infrastructure, and EKS/Kubernetes environments.
  • Collaborate with DevOps teams on Terraform, Ansible, GitHub, GitOps, and CI/CD automation.
  • Coordinate deployments, releases, change management, testing, monitoring, and incident resolution.
  • Maintain technical documentation and support security, governance, validation, and continuous improvement requirements.

Requirements

  • Experience as a Technical Analyst, IT Analyst, or in a similar technical role.
  • Understanding of AWS, Kubernetes/EKS, cloud infrastructure, networking, IAM, monitoring, and security.
  • Familiarity with Terraform, Ansible, GitHub, GitOps, and CI/CD.
  • Basic knowledge of Python and/or R.
  • Experience with software testing, deployment, release, change, and incident management.
  • Good communication and stakeholder coordination skills.
  • Experience working in Agile teams.
  • At least 3 years of experience and fluent English are required.

Nice to have

  • Experience with Domino Data Lab.
  • Experience in pharmaceutical or other regulated environments.
  • Knowledge of GxP validation requirements.
  • Experience supporting Data Science or Machine Learning platforms.

Culture & Benefits

  • Freelance contract.
  • Work on a pharmaceutical Analytics and Data Science platform project.
  • Engagement with business, engineering, infrastructure, DevOps, vendor, and Data Science teams.

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