
Data Scientist Position
2 weeks ago
About the Role:
We are seeking a highly skilled AI engineer to join our team in Sydney.
- Design and develop software tools for data processing, workflow automation, benchmarking, and testing of an 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) for high performance and quality standards.
Responsibilities and Expectations:
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 and stability through refactoring, testing, and documentation.
Requirements and Qualifications:
A Bachelor's 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).
Nice to Have:
- Experience in Data Engineering, AI, or Machine Learning projects.
- Proficiency in C++ and tools for building and testing.
- Knowledge of sensor fusion and object tracking algorithms.
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