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MLOps / Cloud Engineer (AWS)

3 600 - 5 400€
Формат работы
remote (Global)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b1
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
MLOps / Cloud Engineer (AWS) (ML-powered image analysis): Designing AWS infrastructure and deployment pipelines for an ML-powered image analysis platform that automates defect detection and industrial quality control with an accent on SageMaker, Terraform, CI/CD, and multi-environment deployments. Focus on containerizing ML services, automating infrastructure provisioning, and ensuring monitoring, logging, and operational traceability.

Location: Worldwide; fully remote, office-based, or hybrid work available.

Salary: EUR 3,600–5,400 per month gross. Final compensation depends on experience, location, and professional growth.

Company

hirify.global is an outsourcing company delivering software projects for businesses across FinTech, Healthcare, Retail, Telecom, and other industries.

What you will do

  • Design and set up AWS architecture for image ingestion, ML inference, image and metadata storage, and result processing.
  • Build GitLab CI/CD pipelines for application and model components.
  • Implement Terraform-based Infrastructure as Code and configure development, pre-production, and production environments.
  • Automate provisioning and controlled teardown of test and pre-production environments.
  • Containerize services and integrate S3, RDS, ECS, EKS, or Lambda-based deployments.
  • Set up pipeline monitoring, logging, operational traceability, and infrastructure documentation.

Requirements

  • 5+ years of experience in DevOps or Cloud engineering, with AWS as the primary cloud platform.
  • Hands-on experience deploying ML models or Python services on AWS, including SageMaker, inference endpoints, and Step Functions.
  • Experience with MLOps tooling, including MLflow or similar solutions.
  • Hands-on experience using Terraform in real-world projects.
  • Experience building and managing CI/CD pipelines with GitLab CI; GitHub Actions is also acceptable.
  • Experience with Docker and container deployment on AWS, including ECS, EKS, or Lambda.
  • Experience working with S3 and RDS in delivered environments.
  • Experience setting up and managing multi-environment infrastructure across development, pre-production, and production.
  • English at Intermediate+ level or above.

Nice to have

  • Experience building infrastructure from scratch for new products.
  • Experience with hybrid on-premise and cloud environments.
  • Knowledge of security and compliance practices, including ISO 27001 or similar standards.
  • Experience with GPU instances and cloud cost management.

Culture & Benefits

  • Professional, financial, and career growth supported by mentoring and onboarding programs.
  • Access to a corporate training portal and compensation for certifications such as AWS and PMP.
  • Private health insurance and sports compensation, depending on the type of employment.
  • Opportunity to change projects and develop expertise in different business domains.
  • Additional annual-bonus earnings of up to EUR 1,000 per month may be available depending on expertise and participation in company activities.
  • Corporate events, referral program, and team activities.

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