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13 часов назад

Platform Engineering Manager (AI)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland
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
Platform Engineering Manager (AI): Building and scaling enterprise AI platform components for Capgemini's Neo initiative with an accent on platform reliability, cloud engineering, MLOps, and model operationalization. Focus on leading engineering teams, designing scalable platform services, establishing deployment and operations practices, and coordinating multiple AI platform workstreams.

Location: Katowice, Warsaw, Wrocław, Opole, Kraków, Gdańsk, Lublin, Poznań, or Bydgoszcz, Poland

Company

hirify.global is a global technology services organization delivering enterprise solutions across AI, cloud, data, strategy, design, and engineering.

What you will do

  • Lead, coach, and develop the Neo engineering team while fostering technical excellence and continuous improvement.
  • Oversee the design, development, and evolution of scalable and maintainable AI platform components.
  • Drive platform reliability, scalability, and performance in collaboration with cloud engineering teams.
  • Establish engineering practices for MLOps, model deployment, platform operations, and delivery.
  • Partner with product, data, cloud, and change stakeholders to align technical initiatives with business priorities and AI use cases.
  • Support governance, architectural standards, roadmap planning, prioritization, and execution across multiple platform workstreams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience leading platform engineering, cloud engineering, DevOps, SRE, or AI platform teams in complex enterprise environments.
  • Solid understanding of AI/ML concepts, MLOps practices, and model operationalization.
  • Hands-on experience with AWS, Azure, or GCP and containerization technologies including Docker and Kubernetes.
  • Strong technical background in Python or a similar programming language, including experience building and scaling platform services.

Nice to have

  • Experience with MLOps tooling and distributed AI systems.
  • Open-source contributions, Kaggle participation, or GCP certifications.

Culture & Benefits

  • Inclusive, safe, healthy, and flexible working environment.
  • Learning and Development programs supporting continuous expertise growth.
  • Opportunity to work with experts in AI, cloud, and data on an early-stage, enterprise-wide AI platform.
  • Work focused on inclusive and sustainable technology transformation across a global organization.

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