Senior AI Vision Engineer

Mô tả Công việc
We are a world-leading smart mobility SaaS tech company with over 1,700,000 subscribers across 23 countries. Our teams are collaborative, vibrant, and fast-growing, and every team member is empowered with the freedom to influence our products and technology.
Are you curious, innovative, and passionate? Do you take ownership, embrace challenges, and enjoy solving problems?
We are looking for a Senior Vision Engineer who will help us build industry-disruptive tech products, providing our customers with smart, actionable insights that will revolutionize their businesses.
Your Role and Responsibilities:
Conceptualize and develop computer vision models for driver behavior analysis, road detection, signal detection, and in-cabin characteristics.
Provide signals based on video/image detection algorithms for other machine learning models, such as road flow or traffic density analysis.
Develop signal processing models to transform attributes into time series matrices.
Test and deploy algorithms, making them production-ready.
Construct solution concepts from insights, whether the data is familiar, unfamiliar, complete, or partial.
Determine dependencies between sensors and time series data.
Design and build efficient machine/deep learning and optimization algorithms.
Integrate, simulate, and test the impact of algorithms and features on the overall system.
Conduct analyses, simulations, and other necessary steps to validate models and identify areas for improvement.
Store, retrieve, and visualize results in a way that facilitates analysis.
Effectively communicate and conceptualize findings to business/product stakeholders.
Conceptualize and develop computer vision models for driver behavior analysis, road detection, signal detection, and in-cabin characteristics.
Provide signals based on video/image detection algorithms for other machine learning models, such as road flow or traffic density analysis.
Develop signal processing models to transform attributes into time series matrices.
Test and deploy algorithms, making them production-ready.
Construct solution concepts from insights, whether the data is familiar, unfamiliar, complete, or partial.
Determine dependencies between sensors and time series data.
Design and build efficient machine/deep learning and optimization algorithms.
Integrate, simulate, and test the impact of algorithms and features on the overall system.
Conduct analyses, simulations, and other necessary steps to validate models and identify areas for improvement.
Store, retrieve, and visualize results in a way that facilitates analysis.
Effectively communicate and conceptualize findings to business/product stakeholders.