Assistance Orange business units and subsidiaries to develop the use of artificial intelligence and big data in their business, during their appropriation phase or in the implementation phase of applications requiring significant technical expertise.
Supporting operational entities in the implementation of these solutions and their operational adaptation to the operator's business problems.
Understanding the Customer business need and translating it into machine learning.
Design and implementation of artificial intelligence (AI) algorithms using the most appropriate machine learning (ML) techniques for telecommunications networks.
Creating prototypes and industrial solutions for selected use cases.
Evaluation of the efficiency of the proposed algorithms and solutions.
Cooperation with data engineers to build scalable data flows and deploy your models in production.
Cooperation with operational and business entities in the use of the developed solutions.
Work in an international team.
What we expect:
Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related
Ability to work with large amounts of data in an operational environment.
Knowledge of programming environments for data analysis and data processing technologies (including Spark, HDFS, Elastic Search, JupyterHub).
Good knowledge of techniques and algorithms for learning and data analysis, including machine learning, deep learning, statistics and probabilities.
The ability to evaluate the performance of modelling techniques and algorithms and to use them to solve operational and business problems of the Operator.
Experience in model implementation, model lifecycle version management.
Experience in programming (including Java, Python, Scala) in the field of industrial and maintenance projects.
Knowledge of English at a level that allows for easy communication and preparation of technical documentation.
Knowledge of telecommunications networks.
Independence, initiative, result orientation, teamwork skills.
Nice to have:
Knowledge of cloud solutions: Openshift, Kubernetes, GCP.
Experience in working with Linux and Git version control system.
Knowledge of the basics of SQL/noSQL database systems.