Expert in Building Scalable AI Systems

24 hours ago

Sydney, New South Wales, Australia beBeeDataEngineering Full time $150,000 - $200,000
Senior Data Engineer Key Responsibilities:
  • Design, develop, maintain and refine internal software tools for processing data, workflow automation, benchmarking, and testing the Sensor AI engine. Profile, benchmark, and optimize performance-critical code focusing on high availability, reliability, low latency, and scalability. Implement and maintain automated workflows and pipelines (e.g., Git, CI/CD, MLOps, DataOps) to uphold performance and quality standards. Collaborate with field service engineers and drone pilots to collect in-field test data from sensors for analysis. Manage and enhance data-engineering workflows for processing collected data. Work closely with stakeholders to troubleshoot and resolve bug/issue reports. Maintain software quality/stability through refactoring, testing, and documentation. Collaborate with other engineers as a valued member of an autonomous team.

Requirements:

  • Bachelor's degree in Computer Science, Mathematics, or similar technical field, 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, ideally Python or Java.
  • Advanced understanding of data structures, algorithms, and mathematics 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.
  • Knowledge of sensor fusion and object tracking algorithms.

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