Job Description
Shape the future of ROZOR robots as an MLOps Engineer, focused on data and training pipelines. Your expertise in ML infrastructure will drive innovation in machine learning and autonomy.
In this essential role, you will design and maintain systems supporting the data lifecycle for ROZOR's machine learning models. With a background in ML infrastructure, you will construct pipelines for data management, implement MLOps practices, and integrate cloud systems for scalable solutions. Collaboration with embedded and perception teams will ensure data requirements are met efficiently.
Key Responsibilities: • Build pipelines for ingesting and processing robot datasets • Create effective annotation systems for autonomy tasks • Implement MLOps for continuous training and model deployment • Integrate cloud infrastructure supporting distributed computation • Optimize model inference for edge deployment on Jetson systems
Requirements: • Bachelor’s/Master’s in Computer Scie...
In this essential role, you will design and maintain systems supporting the data lifecycle for ROZOR's machine learning models. With a background in ML infrastructure, you will construct pipelines for data management, implement MLOps practices, and integrate cloud systems for scalable solutions. Collaboration with embedded and perception teams will ensure data requirements are met efficiently.
Key Responsibilities: • Build pipelines for ingesting and processing robot datasets • Create effective annotation systems for autonomy tasks • Implement MLOps for continuous training and model deployment • Integrate cloud infrastructure supporting distributed computation • Optimize model inference for edge deployment on Jetson systems
Requirements: • Bachelor’s/Master’s in Computer Scie...
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