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14 часов назад

MLOps Engineer (CX) (Python)

40 000PLN
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

MLOps Engineer (CX) (Python/Kubernetes): Architecting and managing scalable cloud infrastructure for AI/ML production systems with an accent on container orchestration and automated testing. Focus on translating experimental models into robust production-ready systems and establishing CI/CD pipelines for ML workloads.

Location: Hybrid in Warsaw, Poland

Salary: 250 PLN/H net + VAT

Company

An IT services provider that matches global client needs with the skills and aspirations of a diverse community of consultants.

What you will do

  • Architect and manage scalable cloud infrastructure workloads, including container orchestration and automated testing.
  • Partner with data scientists and research teams to translate experimental models into production-ready systems.
  • Establish infrastructure as code, CI/CD pipelines, automated deployments, and comprehensive logging/monitoring.
  • Design and implement scalable data infrastructure solutions using distributed computing frameworks like Apache Spark.
  • Build and optimize data lake architectures to ensure high performance and data governance across large datasets.

Requirements

  • 5+ years of professional experience after higher education.
  • Advanced Python programming experience with web frameworks (FastAPI, Flask) and testing frameworks.
  • Hands-on expertise with major cloud platforms (AWS, GCP, or Azure) and Kubernetes services (EKS/GKE/AKS).
  • Proven experience collaborating with data science or research teams to productionize code.
  • Strong foundation in software architecture, async programming, version control, and concurrent system design.
  • English: B2 minimum required.

Nice to have

  • Experience with ML libraries such as PyTorch, scikit-learn, and numpy.
  • Ability to design and maintain end-to-end ML pipelines from ingestion to monitoring.
  • Proficiency with MLOps tools (MLflow, Kubeflow), inference engines (vLLM, SGLang), and Ray.io.
  • Experience with managed ML services like SageMaker or Vertex AI.

Culture & Benefits

  • Opportunity to work on local and international projects across France, Germany, Portugal, UK, and Benelux.
  • Professional development budget of up to 2,000 PLN for trainings, certificates, and language classes.
  • Referral bonuses ranging from 6,000 to 10,000 PLN.
  • Comprehensive benefits including Medicover healthcare, Wellbee platform, and Multisport card.
  • Regular integration events, gifts, and a corporate Mobility Program.

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