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Full timeTechnology

Senior Data Engineer - AI/ML DataOps

SonitecSydney, New South Wales🇦🇺Australia

Why this role stands out

You'll have a significant impact by designing and optimizing AI/ML data pipelines in a hybrid setting, perfect for experienced data engineers passionate about building robust and scalable systems. This role offers exciting opportunities for skill development and collaboration within a reputable technology company.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationSydney, New South Wales, Australia
DockerDroneGitMLOpsCUDAC++JavaPythonMachine LearningCI/CDLinuxSystem Design

Job description

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

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