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Senior Data Engineer - AI/ML DataOps

Sonitec

Developers/Programmers

Location: On-site, On-site
Type: Full-time

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 a…

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About the role

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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NewListed today

Senior Data Engineer - AI/ML DataOps

Sonitec

Developers/Programmers

Location: On-site, On-site
Type: Full-time

Your match

See how you fit

Scored against this job in seconds

Your account

Your profile and your match for this job appear right here.

About the role

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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