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R&D Data Engineer In Ai And Computer Vision
hace 3 meses
.Press Tab to Move to Skip to Content LinkSelect how often (in days) to receive an alert:R&D Data Engineer in AI and Computer Vision Ref. No: 516696Location: Madrid, M, ES, 28037Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.Our team is building Eviden Computer Vision Platform, a real-time video analytics solution for different verticals. We use AI technologies to design and develop the product, as well as Big Data software components to manage the related data.We are seeking a skilled and motivated Data Engineer to complete our team on end-to-end data pipeline implementation and data lake operation.Responsibilities:Build and maintain robust data pipelines to ingest, transform, and load data from various sources. Ensure data quality, consistency, and reliability throughout the pipeline.Implement data transformation logic to clean, enrich, and transform raw data into structured formats suitable for analysis and reporting. Leverage ETL/ELT processes as needed.Manage the data platform infrastructure, including choosing appropriate storage technologies, optimizing storage utilization, and ensuring data accessibility.Implement and enforce data security measures, access controls, and compliance standards to maintain the integrity and privacy of the data.Develop mechanisms for efficient data search and retrieval, considering relevancy, query performance, and user experience.Monitor and optimize the performance of data pipelines and storage systems to ensure efficient data processing and retrieval.Maintain clear and comprehensive documentation of data pipeline designs, processes, and configurations to facilitate knowledge sharing and future maintenance.Implement workflows to automate the building, testing and deployment of data lake components following DevOps practices.Implement unit and integration tests following guidelines and propagate knowledge across the team.Manage AI assets (i.E., datasets, models) properly and securely.Integrate meta-data extraction components leveraging AI models and third-party tools such as labelling frameworks.Collaborate effectively with cross-functional teams including data scientists, data engineers, frontend and backend developers, and product owners to align on project goals and requirements.EducationBachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field