MLOps Engineer: Cloud ML Deploy & CI/CD

XM; Polska; On-site; PLN 140,000 - 230,000; Full time

Benefits offered by this job

Private health insurance

Intellectually stimulating work

International training opportunities

Job summary

XM is seeking an experienced MLOps Engineer to bridge our Data Science and Infrastructure teams, building scalable pipelines and deploying ML models in cloud environments. You will collaborate with data scientists and engineers to deploy data pipelines, train models, and manage deployment across scalable cloud setups.

You will implement CI/CD, provisioning of resources with Terraform, and Kubernetes orchestration, while ensuring security, performance, and reliability throughout the ML lifecycle.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in MLOps, DevOps, or related fields.
• Knowledge and experience in AWS services for ML (SageMaker, EKS, S3, EC2, Lambda).
• Exposure to Kubernetes for container orchestration.
• Experience with Docker and IaC tools like Terraform or CloudFormation.
• Familiarity with CI/CD tools such as GitLab CI.
• Understanding ML model lifecycle, monitoring, and logging (Prometheus, Grafana, CloudWatch, ELK).
• Networking and cloud security basics; Python and Bash proficiency; Linux comfort.

Responsibilities

• Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS.
• Coordinate with platform team to troubleshoot EKS clusters and deploy ML models.
• Develop and maintain CI/CD pipelines for model and application deployment.
• Collaborate with Data Science and DevOps to streamline the ML lifecycle.
• Implement security best practices in AWS infrastructure.
• Monitor data and ML pipelines for high availability and performance.
• Set up and manage model monitoring for drift and continuous improvement.

Skills

Python

Bash

Linux

DevOps

CI/CD

Communication

Problem-solving

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kubernetes

Docker

Terraform

GitLab CI

AWS

SageMaker

EKS

CloudWatch

ELK Stack

Prometheus

Grafana

Job description

XM is seeking an experienced MLOps Engineer to bridge our Data Science and Infrastructure teams, building scalable pipelines and deploying ML models in cloud environments. You will collaborate with data scientists and engineers to deploy data pipelines, train models, and manage deployment across scalable cloud setups.

You will implement CI/CD, provisioning of resources with Terraform, and Kubernetes orchestration, while ensuring security, performance, and reliability throughout the ML lifecycle.