What are the responsibilities and job description for the Principle Machine Learning Engineer position at Generative Group?

This company works on developing intelligent radar-based sensor platforms that revolutionise health and safety monitoring wherever people live, work, or play. Our patented spatial computing technology works ambiently (through the air) without changing how people live and by prioritising their privacy. We detect emergencies and health and safety risks to bring people timely help so they and their loved ones may live better with more independence, safety, and peace of mind.

Responsibilities :

As a collaborative individual contributor and subject-matter expert (SME) on a Team of equals, you will use your superpowers to collaborate with others with their superpowers (you'll work with others who excel at business strategy, product management, user experience and industrial design, electronics design and engineering, software architecture and development, supply chain and logistics management, finance and business modelling, SCRUM and program management, business development and contracting, sales, and marketing) in a supportive and safe team setting to achieve company goals.

Key Technical Requirements :

Proven industry experience as an AI / ML Engineer, with a focus on radar and RF signals, video and image processing, or classification.
Proficiency in implementing signal processing algorithms using programming languages such as Python, MATLAB, or C / C .
Fluency in Python, machine learning frameworks (Pytorch, Tensorflow, etc.), data science tools (NumPy / Scikit-learn), and cloud services (Google Cloud Platform).
Extensive practical knowledge of Machine Learning techniques for images, deep learning network architectures (CNNs, GANs, etc.), regularization, loss functions, optimization strategies, etc.

Education and Experience :

A Master's or PhD degree in Artificial Intelligence, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or a related field, or equivalent work experience.

10 years of relevant experience in machine learning and data science, with healthcare AI a plus.

Proven track record of leading and scaling high-performing data science and machine learning teams and successfully delivering complex, impactful projects.

Real-world work experience in relevant roles in a commercial setting.

Ideally, full life cycle experience with a consumer or patient product that has shipped and achieved meaningful commercial success.

Preference for candidates with experience in a startup or fast-paced environment, as well as exposure to ambient sensing and sensor fusion technologies.

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Principle Machine Learning Engineer

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