Machine Learning Engineer
Capgemini Engineering
Milan
30
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Azienda: Capgemini Engineering Milan
Esperienza: Esperienza in ingegneria software e machine learning
Leader mondiale nei servizi di Engineering e R&D, Capgemini Engineering combina la sua profonda conoscenza dei settori industriali e le tecnologie all'avanguardia in ambito digital e software a supporto della convergenza tra mondo fisico e digitale.
Beneficiando anche delle competenze del resto del Gruppo, aiuta i clienti ad accelerare il loro percorso verso l' Intelligent Industry.
Capgemini Engineering può contare su più di 65. 000 membri di un team di ingegneri e scienziati in oltre 30 paesi nel mondo, con competenze in diversi settori che includono Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
Capgemini Engineering è parte integrante del Gruppo Capgemini, leader mondiale nel supportare le aziende nel loro percorso di trasformazione digitale e di business facendo leva sul potere della tecnologia.
Lo scopo del Gruppo è garantire un futuro inclusivo e sostenibile, sprigionando l'energia umana attraverso la tecnologia.
Get the Future You Want ' www. capgemini. com" Capgemini Engineering is looking for a Machine Learning Engineer.
You will be involved in projects relating to multiple market sectors and will be responsible for the following activities: Key responsibilities: - Design the data pipelines and engineering infrastructure to support our clients' enterprise machine learning systems at scale - Take proof-of-concept models data scientists build and turn them into a real machine learning production system, being aware of machine learning training and inference logics - Apply software engineering rigor and best practices to machine learning, by performing: data science models review, code refactoring and optimization, containerization, deployment, versioning, tests automation, monitoring and managing data security - Build CI/CD pipelines orchestration in Git Lab, Git Hub, Azure Dev Ops or similar tools - Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients' machine learning systems - Design and implement cloud solutions, build ML Ops on cloud (AWS, Azure, or GCP) - Communicate with clients to build software engineering requirements and track progress - Communicate with a team of data scientists, data engineers and architect, document the processes.
✔ Capgemini Engineering