Senior ML Engineer - Computer Vision

Position Overview:

This is a full-time remote role for a Senior ML Engineer. You will be the main individual contributor with great autonomy to design, implement and deploy ML models on mobile devices and on cloud. The role involves reporting to the Lead Data Scientist and collaborating with the backend team to understand project requirements and deliver scalable solutions. The senior ML engineer needs to stay updated with the latest advancements in the field and ensure compliance with industry standards (TGA, FDA, and so on) and best practices. 

Key Responsibilities:Research and Development:

• Stay current with the latest advancements in computer vision and machine learning techniques, especially as they relate to image processing.
• Challenge our mobile core, measure model performance, find areas of weakness, and strive to improve them.
• Challenge our AI eye and pupil detection models, understand our limitations and edge cases, experiment with the latest AI technology and supply POCs to our engineers that will make improvements.

Technical Expertise:

• Design, train and deploy machine learning models at scale, creating robust AI solutions that perform effectively in real-world scenarios.
• Provide guidance and expertise to the team when needed.
• Optimise image annotation processes, data curation, defining efficient workflows to enhance data quality and model performance.
• Fast learning curve in integrating with new technologies.
• Follow BrainEye’s Quality Management System (QMS) procedures to ensure compliance, quality assurance, and consistency in all AI development and deployment processes.
• Willingness to work on a flexible schedule to meet with international teams outside Australia.

Qualifications

• Advance proficiency in computer vision related ML models and their architecture.
• A minimum 5 years of industry experience in developing and deploying ML solutions is a must have.
• Experience with AWS ML frameworks and tools managing the MLOps data and annotation pipelines (ML flow, sagemaker, KVS).  
• Master's degree or higher in Computer Science, Machine Learning, Computer Vision, or a related field.
• Ability to work independently and remotely and meet deadlines with high quality deliverables. 
• C++ and python programming in ML architecture design, transfer learning and deployment on mobile platforms are must haves. 
• 2+ years experience in a health tech related company with knowledge of quality management systems.
• Publications in reputable conferences or journals in computer vision and machine learning are a plus.