AI MLOps Engineer - Build Production ML Pipelines

Atos; Bydgoszcz; On-site; PLN 180,000 - 240,000; Full time

Job summary

Atos is seeking an experienced AI/MLOps Engineer to design, deploy, and operate production-grade AI platforms. You will build scalable ML pipelines, automate data workflows, and integrate models into enterprise applications and APIs while ensuring security and governance.

The role requires strong Python skills, 3+ years in AI/ML, and hands-on cloud experience (Azure/AWS/GCP). You will collaborate with Data Scientists, DevOps, and Software Engineers across global teams.

Qualifications

• 3+ years of experience in AI/ML Engineering or MLOps.
• Strong Python programming skills.
• Experience deploying ML models into production environments.
• Hands-on experience with cloud providers (Azure/AWS/GCP).
• Knowledge of CI/CD practices and observability tools.

Responsibilities

• Design and implement scalable ML pipelines for training, deployment and monitoring.
• Automate data ingestion, preprocessing and feature engineering workflows.
• Integrate AI/ML models into enterprise applications and APIs.
• Develop and maintain CI/CD pipelines for ML systems.
• Monitor model performance, drift and retraining processes.

Skills

Python

ML/Ops

CI/CD

Docker

Kubernetes

Monitoring

Tools

Docker

Kubernetes

CI/CD

Azure

AWS

GCP

Job description

Atos is seeking an experienced AI/MLOps Engineer to design, deploy, and operate production-grade AI platforms. You will build scalable ML pipelines, automate data workflows, and integrate models into enterprise applications and APIs while ensuring security and governance.

The role requires strong Python skills, 3+ years in AI/ML, and hands-on cloud experience (Azure/AWS/GCP). You will collaborate with Data Scientists, DevOps, and Software Engineers across global teams.