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The Senior Data Engineer will design and develop data pipelines, automation, and visualization tools for AI and analytics solutions. Responsibilities include guiding the expansion of data products, partnering with infrastructure teams, and collaborating with AI/ML engineers to enhance data models and fast deployment.

The Staff Data Engineer will design and develop data pipelines and visualization tools to support AI and analytics solutions, guide data product expansion, and collaborate on data architecture and model training with both technical and business teams.

The Data Engineer is responsible for designing and developing data pipelines and visualization tools to support AI and analytics solutions. The role involves collaborating with various teams to ensure data integrity and advising on data products. Duties include architecting resilient data feeds and communicating insights effectively to stakeholders.

As a Principal Data Engineer, you will design and develop advanced data solutions, leading the architecture and optimization of a secure data platform. Responsibilities include hands-on development, implementing best practices, mentoring a team, and collaborating with business leaders to inform data-driven strategies.

The Staff Robotics AI/ML Engineer will develop, train, and deploy AI/ML models for various robotics applications, lead cross-functional AI R&D teams, perform data analysis, and ensure best practices in AI architecture. The role necessitates staying updated with AI advancements and effectively communicating findings.

The Senior Robotics AI/ML Engineer at Analog Devices is responsible for defining, training, and deploying AI/ML models to solve complex robotics problems. This role involves data engineering, feature selection, creating custom datasets, exploring AI tools and models, architectural implementation, and conducting research on AI developments. Effective communication of technical findings is also required.

The Principal Robotics AI/ML Engineer will lead cross-functional teams in defining, training, and deploying AI/ML models for robotics applications. Responsibilities include developing AI solutions for perception, SLAM, and trajectory generation, performing data engineering, researching AI advancements, and ensuring modern software practices in AI architecture and MLOps.