Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos Group

Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

Build, automte and scale enterprise AI solutions.

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

If you are passionate about Machine Learning, Cloud technologies, automation and modern AI operations, we'd love to hear from you.

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, Grafana

Nice to Have

Experience with GenAI, LLMs or Agentic AI
AI/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

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

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.

Atos

AI / MLOps Engineer

About the Job

Requirements

Responsibilities

Desired Qualifications

Key Responsibilities

Required Skills

Technologies We Use

Nice to Have

Why Join Us?

About the Company

Atos

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