Responsibilities
- Design and implement scalable machine learning pipelines for training, deployment, and monitoring.
- Automate data ingestion, preprocessing, feature engineering, and model retraining 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 with Data Scientists, DevOps Engineers, and Software Developers.
Requirements
- At least 3 years of experience in AI/ML engineering, MLOps, or related roles.
- Strong Python programming skills.
- Experience deploying machine learning 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.
- Experience with GenAI, LLMs, or agentic AI is preferred.
- AI/cloud certifications and experience in large-scale enterprise environments are preferred.
- Applicants must hold citizenship of an EU Member State.
Benefits
- Work with cutting-edge AI technologies and build solutions used in production environments.
- Collaborate with international technology experts.
- Access learning, certification, and professional development opportunities.
Tech Stack
Categories
About Atos
Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), 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. Atos is the services brand of Atos Group, delivering AI powered, secure and end to end digital services to public and private organizations worldwide. Atos designs, builds and run digital environments that are critical to performance, resilience and sovereignty, helping clients keep control of their data, infrastructure and compliance, with clear accountability from strategy to operations. With more than 54,000 people serving 4,500+ clients in 54 countries, Atos helps modernize core IT, accelerate cloud and data transformation, strengthen cybersecurity and enable secure digital workplaces, delivering impact for clients, employees and society at large. Atos offers end-to-end IT services across the cloud, cybersecurity, data and AI, application services, smart platforms and digital workplace, as well as localized consulting and advisory services under its brand Atos Amplify. Atos is trusted to operate complex, business-critical environments, especially in regulated and sovereign contexts.