Senior AI & MLOps Engineer: Build Production ML Platforms

Atos SE (old); Bydgoszcz; On-site; PLN 150,000 - 230,000; Full time

Job summary

Atos is seeking an experienced AI / MLOps Engineer to design, deploy and operate production-grade AI platforms and machine learning solutions. You will collaborate with Data Scientists, DevOps and Software Developers to turn models into reliable, scalable services in enterprise environments.

Strong experience with cloud platforms, automation, and modern AI operations is essential. If you are passionate about building robust ML systems and working across international teams, we want to hear from

Qualifications

• 3+ years of experience in AI/ML engineering, MLOps or related roles.
• Experience deploying ML models into production environments.
• Hands-on experience with cloud providers (Azure/AWS/GCP) and CI/CD practices.
• Experience with monitoring 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 Machine Learning systems.
• Monitor model performance, detect drift and automate retraining processes.
• Deploy AI workloads using Docker and Kubernetes.
• Ensure security, compliance and operational excellence across AI services.
• Collaborate closely with Data Scientists, DevOps Engineers and Software Developers.

Skills

AI/ML Engineering

MLOps

CI/CD

Model deployment

Observability

Tools

Docker

Kubernetes

Azure

AWS

GCP

Job description

Atos is seeking an experienced AI / MLOps Engineer to design, deploy and operate production-grade AI platforms and machine learning solutions. You will collaborate with Data Scientists, DevOps and Software Developers to turn models into reliable, scalable services in enterprise environments.

Strong experience with cloud platforms, automation, and modern AI operations is essential. If you are passionate about building robust ML systems and working across international teams, we want to hear from