Laboratoire Phytocontrol

AI Engineer

• Design and develop artificial intelligence models tailored to business needs
• Design and implement data pipelines (collection, cleansing, preparation, transformation)
• Build AI proofs of concept (POC) and prototypes
• Productionize models (APIs, microservices, integration with the information system)
• Select the most appropriate algorithms and architectures
• Handle model training, optimization, and performance improvements
• Manage versioning of models and datasets
• Deploy models to production (cloud and/or on-premise environments)
• Automate CI/CD pipelines dedicated to AI projects
• Implement monitoring tools (performance, data drift, bias, stability)
• Maintain and improve deployed models
• Maintain and evolve existing applications
• Ensure the quality, robustness, and performance of delivered solutions
• Collaborate with business teams to analyze and understand their needs
• Translate business problems into technical AI solutions
• Document developed solutions (technical and functional)
• Train and support users when necessary

AI Developer, Artificial Intelligence Engineer

Manager

• Ensure correct execution and reliability of water analyses
• Comply with applicable regulatory standards, COFRAC accreditation Quality requirements and client deadlines
• Validate the department's analytical results
• Ensure optimal organization of the department to maximize production efficiency (SQCD)
• Manage analytical priorities
• Ensure proper functioning of the analytical equipment (chromatographic systems in particular)
• Integrate new methods developed by R&D into the department
• Propose daily improvements to analyses aimed at operational excellence and technical expertise
• Manage, unite and lead the team and associated meetings
• Support the team in developing their skills

AI Developer, Artificial Intelligence Engineer

Head of Organic Contaminants Department, Waters