Machine Learning Architect

beBeeCloud; Barcelona; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A leading tech company in Barcelona seeks a professional to design, develop, and maintain infrastructure for machine learning solutions. This hybrid role requires a strong background in AWS cloud environments and software engineering, collaborating closely with data science teams to optimize workflows. The ideal candidate will have proven experience in deploying large-scale production infrastructure and a passion for innovation.

Formación

• Proven experience in AWS cloud environments.
• Strong track record of designing and deploying large-scale production infrastructure.
• Experience in developing and maintaining ML solutions.

Responsabilidades

• Develop and maintain essential infrastructure for ML solutions.
• Collaborate with data science teams to optimize workflows.
• Oversee software engineering from design to implementation.

Conocimientos

AWS cloud environments

Machine Learning

Software Engineering

Data Processing

Descripción del empleo

Immerse yourself in our cutting-edge Enterprise AI platform team, driving innovation and technical excellence in solving complex machine learning problems.

This exciting opportunity brings proven experience in AWS cloud environments, backed by a strong track record of designing and deploying large-scale production infrastructure and platforms.

• Develop and maintain essential infrastructure and platforms for deploying, monitoring, and managing ML solutions in production, ensuring they are optimized for performance and scalability.
• Collaborate closely with data science teams to develop cutting-edge data science, AI / ML environments and workflows on AWS.
• Liaise with R&D data scientists to understand their challenges and work with them to help productionize ML pipelines, models, and algorithms for innovative science.
• Oversee all aspects of software engineering, from design to implementation, QA, and maintenance.
• Lead technology processes from concept development to completion of project deliverables.
• Liaise with other teams to enhance our technological stack, enabling the adoption of the latest advances in Data Processing and AI.

This is a hybrid role, with an expectation of working from the office one day per week.