MLOps Engineer: Build Scalable ML Pipelines on AWS

XM; Poland; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private health insurance

Job summary

XM is seeking an MLOps Engineer to bridge Data Science and Infrastructure, building scalable ML pipelines on AWS. You will implement CI/CD for models, manage deployments with Kubernetes, and enforce security practices across cloud resources.

Collaboration with data scientists and DevOps will drive production-ready ML systems. Ideal candidates have 2+ years in MLOps/DevOps, strong Python and Bash skills, and hands-on experience with Terraform, Docker, and cloud monitoring tools.

Qualifications

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

Responsibilities

• Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS.
• Coordinate with platform team to troubleshoot Kubernetes clusters (EKS) for ML deployments.
• Develop and maintain CI/CD pipelines for model and app deployment, testing, and monitoring.
• Collaborate with Data Science and DevOps teams to streamline the ML lifecycle from experiment to production.
• Implement security best practices, including network security and data encryption in AWS.
• Monitor and optimize data and ML pipelines for high availability and performance.
• Set up and manage model monitoring systems for performance drift and improvement.

Skills

MLOps

DevOps

Python

Bash

Linux

Communication

Problem solving

Education

Bachelor’s degree in CS/Engineering

Tools

AWS

SageMaker

EKS

S3

EC2

Lambda

Docker

Terraform

GitLab CI

Kubernetes

Prometheus

Grafana

CloudWatch

ELK Stack

Helm

Argo Workflows

Airflow

Job description

XM is seeking an MLOps Engineer to bridge Data Science and Infrastructure, building scalable ML pipelines on AWS. You will implement CI/CD for models, manage deployments with Kubernetes, and enforce security practices across cloud resources.

Collaboration with data scientists and DevOps will drive production-ready ML systems. Ideal candidates have 2+ years in MLOps/DevOps, strong Python and Bash skills, and hands-on experience with Terraform, Docker, and cloud monitoring tools.