Senior Machine Learning Engineer

4 weeks ago

Sydney, New South Wales, Australia BlueWing Ventures, LLC. Full time
Job Title: Senior Machine Learning/MLOps Engineer

We are seeking a highly skilled Senior Machine Learning/MLOps Engineer to join our team at BlueWing Ventures, LLC. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models for autonomous systems.

Key Responsibilities:
  • Lead the design, development, and integration of machine learning models for perception and data pipelines for autonomous systems.
  • Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling, and training.
  • Manage model selection, training, validation, evaluation, deployment, and regression testing.
  • Manage training data sourcing and integration, and quality.
  • Develop tools and processes for machine learning in a classified environment.
  • Collaborate with cross-functional teams to ensure effective system integration and testing.
Requirements:
  • Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, or a relevant field.
  • Experience in a senior role with the delivery of a production-grade software system with a mature machine learning component.
  • Experience with the design, implementation, and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring.
  • Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies.
  • Experience with the delivery of computer vision capabilities, from the data side as well as the model side.
  • Capacity to work holistically on machine learning-enabled capabilities up and down the software stack and through lifecycle.
  • Ability to obtain and maintain an Australian Government Security Clearance.
Preferred Qualifications:
  • Experience with the delivery of capability with a public sector customer.
  • Experience with workflow management tools such as Flyte, Airflow, and Kubeflow.
  • Experience with deep learning frameworks such as PyTorch.
  • Experience with edge ML applications.
  • Experience with inference engines such as TensorRT.
  • Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results.

We are an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are passionate about working on problems that matter, we'd love to hear from you.

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