At a Glance
- Tasks: Design and develop AI/ML pipelines while optimising data workflows.
- Company: Join SONITEC, a leader in innovative tech solutions.
- Benefits: Attractive salary, flexible work options, and growth opportunities.
- Other info: Dynamic environment with a focus on collaboration and innovation.
- Why this job: Be part of a cutting-edge team shaping the future of AI technology.
- Qualifications: 5+ years in Data Engineering with strong programming skills.
The predicted salary is between 121500 - 148500 $ per year.
Our Client is seeking a Senior Data Engineer with a 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 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.
Senior Data Engineer in Sydney employer: SONITEC
SONITEC is an exceptional employer located in the vibrant Sydney CBD, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, opportunities for professional growth in cutting-edge AI and MLOps technologies, and a supportive environment that values teamwork and creativity. With a focus on high-performance standards and employee well-being, SONITEC stands out as a rewarding place to advance your career in data engineering.
