Top Remote Infrastructure Engineer Jobs

The Software Engineer will manage data collection for model training, enhance cloud infrastructure, and collaborate with AI Scientists to improve data sourcing and processing efficiency.

The Software Engineer will manage data acquisition and ingestion for AI model training, optimize cloud infrastructure, and collaborate on data strategy with the AI team.

As a Software Engineer on the Data team, you will manage data collection for model training, extend cloud infrastructure, and collaborate with scientists to enhance data quality and efficiency.

Develop and manage data collection infrastructure for AI model training, utilizing cloud services and collaborating with scientists to enhance data quality and processing.

Responsible for data collection to support model training operations, operating the cloud infrastructure, and collaborating with AI team for data roadmaps.

The Software Engineer will handle data collection for model training, operate the ingestion pipeline on GCP, and collaborate with AI scientists to enhance data quality and scale.

The Software Engineer will be responsible for data collection to support model training, operate cloud infrastructure, and enhance data ingestion pipelines.

The Software Engineer will be responsible for data collection and management, enhancing the cloud infrastructure, and collaborating on AI datasets to support model training.

The Software Engineer will develop data ingestion pipelines, manage cloud infrastructure for data collection, and collaborate with the AI team to enhance data quality and scale for model training.

Responsible for finding audio data sources, managing the cloud infrastructure for the ingestion pipeline, and collaborating on dataset roadmaps for AI products.

The role involves data collection to enhance AI model training, managing cloud infrastructure, collaboration with scientists for data quality and cost efficiency.

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

As a Software Engineer on the Data side of the AI team at Speechify, you'll manage data ingestion pipelines, extend cloud infrastructure, and collaborate with scientists to enhance data collection for model training, aiming to drive costs down while increasing throughput and quality.

As a Software Engineer for Data Infrastructure at Speechify, you'll manage data collection for model training, extend cloud infrastructure, and collaborate with scientists to enhance data quality and efficiency for AI models.

The Software Engineer will handle data collection for model training, operate cloud infrastructure, and collaborate with AI scientists to improve data processing.

The Software Engineer will manage data collection for AI model training by building datasets at scale, optimizing infrastructure, and collaborating with data scientists.

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

The Software Engineer will handle data collection for model training, operate cloud infrastructure, and collaborate on dataset roadmaps.

Join Solvd as an Infrastructure/SRE Engineer to design, manage cloud infrastructure, build CI/CD pipelines, automate deployments, and ensure system reliability through observability and performance tuning.

The Senior Staff Software Engineer will drive the technical vision and architecture standards for cloud infrastructure, lead complex projects, mentor engineers, and collaborate with stakeholders.

The QA Engineer is responsible for test automation, software quality assurance, and platform reliability engineering, ensuring reliable and performant software delivery. They will design and maintain testing frameworks, validate AI workflows, and collaborate with multidisciplinary teams to uphold quality standards.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Lead the strategy and evolution of internal developer platforms for silicon and software development; enhance developer workflows and optimize source control systems.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

Design, enhance, and scale the ClickPipes data onboarding platform while improving infrastructure, deployment pipelines, and operational processes in a cloud environment.