Remote MLOps Engineer: AWS/Kubernetes ML Deployments

XM; Polska; Remote; PLN 355,000 - 474,000; Full time

Benefits offered by this job

Private health insurance

Intellectually stimulating work

Continual international training

Personal development opportunities

Job summary

XM is seeking a skilled MLOps Engineer to join our team and bridge Data Science and Infrastructure. You will support the Data Science team with MLOps tasks while driving DevOps initiatives, including CI/CD pipelines, cloud provisioning with Terraform, and Kubernetes orchestration.

Work with data scientists and engineers to deploy data pipelines, train models, and manage deployments in scalable cloud environments, ensuring security, performance, and reliability across the ML lifecycle.

Qualifications

• Bachelor's degree in CS, engineering, or related field.
• 2+ years in MLOps, DevOps, or related area.
• Experience with AWS ML services (SageMaker, EKS, S3, EC2, Lambda).
• Kubernetes expertise and Docker experience.
• Familiarity with Terraform or CloudFormation.
• CI/CD tooling experience (GitLab CI).
• Understanding ML lifecycle and deployment.
• Networking, security, and monitoring basics (CloudWatch, Prometheus).

Responsibilities

• Design and maintain scalable MLOps pipelines on AWS (SageMaker, EKS).
• Coordinate with platform team to deploy ML models and microservices on Kubernetes.
• Develop and maintain CI/CD pipelines for model deployment and testing.
• Collaborate with Data Science and DevOps to streamline ML lifecycle from experiment to prod.
• Implement security best practices for AWS networks and data protection.
• Monitor data and ML pipelines for performance and reliability.
• Set up model monitoring for drift and continuous improvement.

Skills

MLOps

DevOps

Python

Bash

Kubernetes

Docker

Terraform

CI/CD

AWS SageMaker

Cloud security

Networking basics

Communication

Problem solving

Education

Bachelor’s degree

Tools

GitLab CI

Terraform

CloudFormation

Prometheus

Grafana

ELK Stack

Job description

XM is seeking a skilled MLOps Engineer to join our team and bridge Data Science and Infrastructure. You will support the Data Science team with MLOps tasks while driving DevOps initiatives, including CI/CD pipelines, cloud provisioning with Terraform, and Kubernetes orchestration.

Work with data scientists and engineers to deploy data pipelines, train models, and manage deployments in scalable cloud environments, ensuring security, performance, and reliability across the ML lifecycle.