AI / MLOps Engineer

Atos is looking for an experienced AI / MLOps Engineer to help design, deploy, and operate production-grade AI platforms and machine learning solutions.

Key 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.

Required Skills

• 3+ years of experience in AI/ML Engineering, MLOps, or related roles.
• Strong Python programming skills.
• Experience deploying ML models into production environments.
• Hands-on experience with Azure, AWS, or GCP.
• Knowledge of Docker, Kubernetes, and CI/CD practices.
• Experience with monitoring and observability tools.

Technologies We Use

Python, TensorFlow, PyTorch, Scikit-Learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure, AWS, GCP, Spark, Kafka, Terraform, Prometheus, and Grafana.

Nice to Have

• Experience with GenAI, LLMs, or Agentic AI.
• AI or cloud certifications.
• Experience working in large-scale enterprise environments.

Why Join Us?

• Work with cutting-edge AI technologies.
• Build solutions used in real production environments.
• Collaborate with international technology experts.
• Access learning, certification, and professional development opportunities.

Due to project requirements, applicants must hold citizenship of an EU Member State.