Job Description
SONITEC Sydney, New South Wales, Australia
SONITEC Sydney, New South Wales, Australia
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Base pay range
A$170,******/yr - A$200,******/yr
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Our Client is seeking a Senior Data Engineer with focus on AI/ML DataOps & MLOps pipeline Development 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
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
Industries




Software Development and Defense and Space Manufacturing
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📌 Senior Data Engineer - Ai & Mlops (New South Wales)
🏢 SONITEC
📍 New South Wales