Senior Data Engineer - AI/ML DataOps

About the role

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.

Responsibilities, Duties and Expectations

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

Qualifications, Experience and Skills

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

Nice to have

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