Senior AI ML Engineer M/F (RQTH) - Permanent contract

Join ORIS as a Senior AI ML Engineer, where you'll play a crucial role in integrating AI capabilities into scalable software solutions. Your primary focus will be on software engineering, system architecture, and problem-solving. You'll design and develop prototypes, applications, and data pipelines, ensuring they are secure, maintainable, and aligned with engineering best practices. You'll work closely with Product, Engineering, and Data teams to translate business requirements into practical technical solutions. This is a permanent position based in Lyon, France.

• Conception et développement de prototypes, d'applications et de pipelines de données évolutifs, contribuant à l'ensemble du cycle de vie du logiciel et de l'IA.
• Collaboration avec les équipes Produit, Ingénierie et Données pour traduire les exigences commerciales en solutions techniques pratiques.
• Fournir un leadership technique pour les initiatives d'IA agentique, mentorat des ingénieurs, contribution aux normes d'ingénierie.

**Required :**

• Strong background in software or data engineering
• Familiar with ML frameworks and models as well as AI workflows and pipelines.
• Experience with Docker, Kubernetes
• Understanding of CI/CD principles
• Strong knowledge of Git
• Hands-on experience building and integrating AI solutions into production grade systems using fine-tuned local models or third party providers ( Gemini, OpenAI, etc)
• Experience building AI application using langflow or similar tools
• Strong understanding of data structures and algorithms
• Knowledge of ETL pipelines, and data processing techniques (Encoding, Imputation, scaling, etc).
• Good understanding of vector databases
• Familiarity with AWS and its core services

**Nice to have**

• Familiarity with MLOps and Data-Management tools (ClearML, Mlflow, Weights and biases, tensorboard, etc)
• Experience with training computer vision models : Semantic segmentation, object detection, classification, etc, and understanding of their architectures (Unet, YOLO, Resnet..)
• Up to date with SOTA (State of the Art) architectures & research in the field
• Familiarity with database systems (relational and NoSQL) like PostgreSQL, MongoDb
• Understanding of serverless architecture and microservices