Distributed Cloud | MLOps

Devoteam
Portugal
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 3+ yearsSkills: ["Python","Kubeflow","MLflow","Airflow","Docker","Kubernetes","GitLab CI","GitHub Actions","Jenkins","SageMaker","Vertex AI","Azure ML","DVC","Feature stores","Prometheus","Grafana"]

We are seeking an MLOps Engineer to bridge model development and production by building automated end-to-end ML pipelines, standardizing packaging and deployment, and implementing monitoring and cost-aware serving. You’ll manage scalable compute/storage with IaC, collaborate with data scientists to productionize experiments, and optimize latency for ML workloads in a distributed cloud environment.

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Devoteam
Devoteam
4 months ago

Distributed Cloud | MLOps

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

We are seeking an MLOps Engineer to bridge model development and production by building automated end-to-end ML pipelines, standardizing packaging and deployment, and implementing monitoring and cost-aware serving. You’ll manage scalable compute/storage with IaC, collaborate with data scientists to productionize experiments, and optimize latency for ML workloads in a distributed cloud environment.
Location: Portugal
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design and implement automated end-to-end pipelines (CI/CD/CT) for machine learning workflows
  • •Standardize the way models are packaged, versioned, and deployed (Containerization & Orchestration)
  • •Build monitoring systems to track model performance, data drift, and system health in production
  • •Manage scalable compute and storage resources for training and inference using IaC principles
  • •Work closely with Data Scientists to transition experimental code into robust, production-ready microservices

Key Requirements

  • •3+ years of experience in MLOps, DevOps, or Software Engineering with a strong focus on ML delivery
  • •Proficiency in Python and experience with ML orchestration tools (e.g., Kubeflow, MLflow, or Airflow)
  • •Deep knowledge of Docker and Kubernetes for managing distributed ML workloads
  • •Hands-on experience with automation tools (GitLab CI, GitHub Actions, or Jenkins)
  • •Experience with ML services in AWS (SageMaker), GCP (Vertex AI), or Azure (Azure ML)
Experience:3+ years
Skills:PythonKubeflowMLflowAirflowDockerKubernetesGitLab CIGitHub ActionsJenkinsSageMakerVertex AIAzure MLDVCFeature storesPrometheusGrafana
Languages:English
Tech Stack:PythonKubeflowMLflowAirflowDockerKubernetesGitLab CIGitHub ActionsJenkinsSageMakerVertex AIAzure MLDVCFeature storesPrometheusGrafana

Company Brief

Devoteam
Devoteam is an IT consulting firm specializing in digital transformation, cloud, cybersecurity, and data solutions for enterprise clients across Europe and the Middle East, combining technology partnerships with management consulting services.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1995
WebsiteLinkedIn