Senior Data Engineer - AI/ML DataOps

Job Description

About the role

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The company is seeking a Senior Data Engineer with focus on AI/ML DataOps pipelines to join the Sensor Fusion AI Team in Sydney CBD.

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Responsibilities, Duties and Expectations

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• Design, develop, maintain and/or refine internal software tools used for processing data, workflow automation, benchmarking and testing the a Sensor AI engine
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• Profile, benchmark and optimise both new and existing performance-critical code focusing on high availability and reliability, low latency, and scalability
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• Implement and maintain existing and new automated workflows and pipelines (e.g., Git, CI/CD, MLOps, DataOps) to uphold the highest performance and quality standards
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• Collaborate with field service engineers and drone pilots to collect in-field test data from our sensors for analysis
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• Manage and enhance data-engineering workflows for processing collected data
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• Work in close collaboration with relevant stakeholders to troubleshoot and resolve bug/issue reports
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• Maintain software quality/stability (e.g. refactoring, testing, documentation)
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• Collaborate closely with other engineers and become a valued member of an autonomous, cross-functional team
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• Support the Sensor Fusion AI team to make informed decisions about the future direction of complex deployed system design
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Qualifications, Experience and Skills

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• BS degree in Computer Science, Mathematics or similar technical field of study or equivalent practical experience
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• Minimum 5 years of experience in a professional Data / Software Engineering environment
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• Demonstrated experience in creating automated workflows (CI/CD, DataOps) and AI/ML pipelines (MLOps)
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• Proficiency in an object-oriented programming language with strong expertise in one or more general purpose programming languages (ideally Python/Java)
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• Advanced understanding of data structures, algorithms, and the application of mathematics and physics in software development
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• Familiarity with Linux and containerisation (Docker)
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Nice to have

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• Experience in Data Engineering, AI, or Machine Learning projects
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• Proficiency in C++ and tools for building (CMake) and testing
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• Experience developing data intensive real-time applications and/or GPU based processing systems (TensorRT, CUDA )
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• Knowledge of sensor fusion and object tracking algorithms
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