AI ENGINEER
Atos
- Location
- Onsite (Troy, IA)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Atos is a global leader in digital transformation and cybersecurity, dedicated to delivering secure, AI-powered end-to-end digital services. This role involves designing and deploying scalable machine learning solutions on Google Cloud to drive performance and resilience for clients worldwide.
Skills
Full job details
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 54,000 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. 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.
Key Responsibilities:
- Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services.
- Develop and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
- Provision and manage cloud infrastructure using Terraform, ensuring automation and compliance.
- Deploy and operate ML workloads on Google Kubernetes Engine (GKE) with secure and optimized VPC networking.
- Collaborate with data scientists, engineers, and business stakeholders to deliver production-ready AI solutions.
Required Skills:
Gemini Enterprise Terraform Google Kubernetes Engine (GKE) Virtual Private Cloud (VPC) MLOps Machine Learning Engineering Google Cloud Platform (GCP) Cloud Architecture and Deployment Expertise
#LI-US
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.