Top Data Engineer Jobs in Portugal

The role involves managing data collection and infrastructure for model training at Speechify, requiring collaboration with AI scientists and data sourcing.

The Software Engineer will manage data collection for AI model training, optimize data ingestion pipelines, and collaborate on dataset development for Speechify's products.

The Software Engineer will manage data collection for model training, extend cloud infrastructure, and collaborate with scientists to enhance data quality and scalability.

The role involves data collection for AI model training, including managing and extending a cloud ingestion pipeline and collaborating with scientists on data strategies.

As a Software Engineer on the Data side of the AI team, you will manage data collection and infrastructure to improve model training and enhance data quality at scale.

As a Software Engineer for Data Infrastructure at Speechify, you'll focus on data collection, manage the cloud infrastructure for the ingestion pipeline, and collaborate with the AI team to enhance data quality and scale.

Responsible for data collection to support model training, finding audio data sources, operating cloud infrastructure, and collaborating on dataset roadmap.

The Software Engineer will manage data collection, enhance the cloud infrastructure for ingestion pipelines, and collaborate on dataset roadmaps for AI model training.

This role involves finding audio data sources, managing ingestion pipelines in GCP, collaborating with scientists for data processing, and developing datasets for AI models.

This role involves data collection for model training, managing cloud infrastructure on GCP, and collaborating closely with AI scientists to enhance data quality and scale.

The Software Engineer will manage data collection for AI model training, optimize cloud infrastructure on GCP, and collaborate with scientists to enhance datasets.

The Software Engineer will handle data collection for AI models, operate cloud infrastructure, and collaborate with scientists to enhance data processing capabilities.

As a Software Engineer, you will develop data collection processes, enhance the ingestion pipeline, and collaborate with AI scientists to optimize datasets for model training.

The Software Engineer will manage data collection and ingestion for AI model training, improve cloud infrastructure, and collaborate on dataset strategies.

The Software Engineer will manage data collection for model training, integrate data pipelines, and collaborate on AI dataset strategies.

The Software Engineer will be responsible for data collection, cloud infrastructure management, and collaborating with scientists to enhance data processing for model training operations.

The Software Engineer for Data Infrastructure is responsible for data collection and managing the ingestion pipeline, collaborating with AI scientists and leadership to enhance dataset quality and cost-effectiveness for model training.

The Software Engineer will develop and optimize data collection, integrate with cloud infrastructure, and collaborate on data pipeline advancements for AI models.

The Software Engineer will manage data collection processes, enhance cloud infrastructure, and collaborate on dataset roadmaps to improve Speechify's audio data ingestion pipeline.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure, and collaborate on dataset roadmaps.

The role involves data collection for model training at Speechify, requiring engineering infrastructure, scripting, cloud management, and collaboration with the AI team.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

Design, develop, and optimize GPU- and CPU-accelerated image and data-processing libraries. Perform performance tuning, benchmarking, and optimization across architectures; collaborate with product management and partners; provide technical leadership and guidance to library engineers; and improve library performance and maintainability.

The job involves developing machine learning algorithms, designing data pipelines, utilizing cloud infrastructure for ML solutions, and ensuring model governance practices.

Lead strategic ISV partnerships to integrate NVIDIA software and SDKs into partner data platforms. Drive technical and GTM alignment, influence product strategy, recruit and lead cross-functional teams, promote NVIDIA solutions to architect and developer communities, and surface partner needs to internal product and engineering teams.