DESCRIPTION :
Develop, deploy, and maintain Machine Learning models and retraining systems :
Integrate data science models into Data and ML pipelines in collaboration with data scientists and data engineers
Design and execute machine learning tests and experiments, by applying best practices for experiment tracking and model registry
Build and orchestrate MLOPS pipelines including CI/CD to automate data ingestion and transformation, model (re-)training, (re-)deployment, inference and monitoring
Support the industrialization of scalable data science solutions through automation and continuous delivery
Identifying changes in models and shifts in data distribution that could affect model performance, and apply appropriate measures for protecting against drifts
Apply strong testing and quality assurance practices
Support field trials with our customers using the mobility analytics software modules and tools
Analyses and checks the suitability of an algorithm if IT caters the needs of the current task/business problem
Attend meetings, submit work progress reports and perform related duties as required.
Performance measurements :
Number of models deployed and kept compliant with requirements according to prescribed performance metrics
On Time Delivery (OTD)
Developments Quality Cost Delivery (QCD)
Code d'emploi : Ingénieur en Intelligence Artificielle (h/f)
Domaine professionnel actuel : IT R&D Professionals
Niveau de formation : Bac+5
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée indéterminée (CDI)
Compétences : Airflow, Microsoft Azure, Big Data, Cloud Computing, Programmation Informatique, Livraison en Continu, Intégration Continue, Data Distribution Services, Débogage, Linux, DevOps, Apache Hadoop, Python (Langage de Programmation), Machine Learning, NoSQL, NumPy, Ansible, Tensorflow, Shell Script, Conception et Développement de Logiciel, Structured Query Language (SQL), Stratégie de Test, Modules Logiciels, Ingestion de Données, Apache Spark, Keras, Git, Pandas, Conteneurisation, Scikit-learn, Kubernetes, Technologies Informatiques, Apache Kafka, Apache Nifi, KSPPXKGVB6KU2V6U0VTY, Docker, Jenkins, Web Api, Anglais, Adaptabilité, Sens de la Communication, Enthousiasme, Sens de l'Organisation, Motivation Personnelle, Algèbre, Algorithmes, Mathématiques Appliquées, Systèmes Automatisés, Gestion de la Performance, Expérimentation, Industrialisation, Mathématiques, Qualité Coût Livraison, Gestion de la Qualité, Écriture de Documentation, Probability and Statistics, Etudes et Statistiques, Capacités de Démonstration, Science des Données, Rapport d'Avancée, Administration de Bases de Données
Téléphone :
0141669000
Type d'annonceur : Employeur direct