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Rumo

MLOps Engineer

Rumo

MLOps Engineer at Rumo, creating and sustaining ML Ops pipelines. Ensuring deployment, monitoring, and governance of machine learning models.

Posted 6/10/2026full-timeIndaiatuba • BrasilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesLinuxPythonTerraform

About the role

Key responsibilities & impact
  • Create and maintain the MLOps and DevOps pipeline, ensuring deployment, monitoring, and governance of ML models.
  • Build training and deployment pipelines; implement CI/CD for ML and create and maintain CI/CD pipelines (GitHub Actions, Bamboo, GitLab CI, or similar).
  • Operate and evolve workloads on ECS, EKS (Kubernetes), Fargate, and managed services.
  • Design, implement, and maintain AWS infrastructures using Infrastructure as Code (Terraform).
  • Monitor performance and model/data drift, and implement observability practices (logs, metrics, traces) using tools like CloudWatch and Datadog.
  • Integrate feature stores and environments.
  • Automate operational processes using Shell scripts and Python.
  • Ensure security and governance: IAM, KMS, access policies, Secrets Manager/SSM.

Requirements

What you’ll need
  • Bachelor's degree in Information Technology, Engineering, Finance, Business Administration, or related fields.
  • Cloud data architecture experience (AWS, Azure, OCI, or GCP).
  • Experience with MLOps and DevOps practices.
  • Kubernetes.
  • Version control — GitHub and CI/CD pipelines.
  • Knowledge of containers (Docker) and orchestration (Kubernetes).
  • Knowledge of Linux and networking (VPC, subnets, security groups).

Benefits

Comp & perks
  • Food allowance
  • Meal allowance
  • Transportation allowance
  • Profit-sharing program (PPR)
  • Railway safety bonus
  • Private pension plan
  • Credit cooperative
  • Payroll-deductible loans
  • Wellhub
  • Health insurance
  • Dental plan
  • Surgical instrumentation
  • Pharmacy assistance
  • Life insurance
  • Funeral assistance
  • Maternity support program (from pregnancy through postpartum)
  • Extended parental leave
  • School supplies
  • Childcare assistance
  • Christmas toy
  • Christmas gift kit
  • Psychological, legal, and financial assistance program
  • Perks and discounts club
  • Corporate university

ATS Keywords

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Hard Skills & Tools
MLOpsDevOpsCI/CDAWSTerraformKubernetesPythonShell scriptingDockerLinux