Consultant Lead Maching Learning Engineer (H/F)

SOFTEAM Group propose des activités de services et de conseils dans votre secteur : L’ASSURANCE Softeam est la marque de Conseil et des Services de Docaposte (éditeur de confiance Numérique) faisant partie du Groupe LA POSTE. C’est aussi une agence digitale (Softeam Agency) et un organisme de formation (Softeam Institute). Depuis près de 30 ans, SOFTEAM se positionne comme un spécialiste sur les secteurs : Assurance, Santé & Banque, Finance, Digital, Data. Nous recherchons notre futur collaborateur / trice pour intervenir chez notre client en santé sur un projet en tant que Lead Maching Learning Engineer (H/F), dans un cadre projet à l'international. Key Responsibilities : Model Deployment : Orchestrate continuous deployment and integration of machine learning models, ensuring optimal functionality across various environments. Scalability : Develop and implement infrastructures to support scaling ML solutions across different countries while respecting local specifications. Monitoring and Maintenance : Implement robust monitoring systems to track performance, identify anomalies, and continuously optimize models. Infrastructure and Automation : Design and manage automation pipelines for efficient handling of deployments and updates of machine learning models. Cross-Functional Collaboration : Collaborate with data scientists, software engineers, and product teams to ensure smooth and successful ML solutions integration. Continuous Improvement and Innovation : Analyze performance feedback and actively propose and implement improvements to optimize system reliability and ML model efficiency. Autonomy and Leadership : Operate with a high degree of autonomy in decision-making and demonstrate leadership in proposing new strategies and solutions for enhancing ML infrastructure. Qualifications : Education : Degree in Computer Science, Data Science, or related field (Master’s or Ph.D. preferred). Experience : 5 years of significant experience in machine learning operations engineering with demonstrable success in deploying and managing ML models in production. Technical Skills : Proficiency in Python and pyspark, DevOps technologies like Docker, Kubernetes, CI/CD and machine learning algorithms and best practice. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Proficiency in git and experience in agile development method. Problem-Solving and Proposal Skills : Ability to diagnose and resolve complex issues in ML production environments and propose innovative solutions. Communication and Initiative : Effective communication skills for conveying complex concepts and a proactive approach in taking initiative and driving projects forward.