MLOps Engineer - Kubernetes F.H

Let's build a future of trust together

Thales is a global high-tech leader specializing in three business sectors: Defense & Security, Aeronautics & Space, and Cyber & Digital. It develops products and solutions that contribute to a safer, more environmentally friendly, and more inclusive world. The Group invests nearly 4 billion euros per year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum, cloud technologies, and 6G. Thales has nearly 81,000 employees in 68 countries.

Our commitments, your benefits

• Success driven by our technological excellence, your experience, and our shared ambition
• An attractive compensation package
• Continuous skills development: training courses, academies, and internal communities
• An inclusive, benevolent environment that respects employee balance
• Recognized societal and environmental commitment

Your daily life

At the heart of Saint Quentin en Yvelines, the Elancourt site is one of Thales' most important technological centers of excellence. The diversity and technicality of the systems and equipment mobilize expertise in more than 80 professions in defense, high-tech security, and digital services solutions.

As part of our activities in airborne optronics, we are looking for a Kubernetes MLOps Architect capable of taking charge of the design, development, and maintenance of Kubernetes solutions for deploying Artificial Intelligence algorithms applied to image processing.

As an ISA Kubernetes MLOps Architect, you will collaborate closely with a multidisciplinary team composed of algorithmicians, developers, servo control engineers, and systems engineers. Frequent travel to Issy les Moulineaux is to be expected in this context. You will join the Upstream System Engineering Service SAO.

As a Kubernetes MLOps Architect, your missions will include:

• Collecting and analyzing functional and technical requirements
• Designing the architecture of an on-premise image-oriented data lake (high volumes, complex formats) and ensuring its implementation
• Designing processing pipelines (ETL, preprocessing, ingestion) adapted to visual data
• Orchestrating services and workflows via Kubernetes in a constrained environment
• Integrating AI pipelines into production workflows (MLOps approach, KubeFlow)
• Collaborating with AI teams for the industrialization of detection, classification, etc. models
• Providing technical support to the agile team for front and back-end design and development
• Maintaining a watch on tools adapted to sovereign, security, and real-time constraints.

Your profile

Do you have the ambition and desire to thrive in missions integrating Kubernetes?

Do you have an engineering degree or equivalent Bac+5 specializing in computer science, information systems, or software engineering and:

• You have initial experience in this field
• You have expertise in Kubernetes, deployment, and administration on bare-metal or virtualized infrastructures
• You have experience in MLOps: CI/CD for ML models, MLflow, Kubeflow or equivalents
• You are comfortable with on-premise architectures: distributed storage, network, security

Are curiosity, team spirit, proactiveness, perseverance, organization, and autonomy recognized assets in you?

Then join us!

Thales, a Handi-Engaged company, recognizes all talents. Diversity is our best asset. Apply and join us!

The position may require access to information falling under national defense secrecy, the selected person will be subject to an authorization procedure, in accordance with the provisions of articles R.2311-1 et seq. of the Defense Code and IGI 1300 SGDSN/PSE of August 09, 2021.