DEES develops cutting edge visual based navigation systems. Due to an increasing demand for our products, we are looking for an ML Engineer to expand our team and capability.
Core Responsibilities:
Develop and maintain internal tools for dataset management, visualization, and ML experiment tracking
Create and optimize monitoring dashboards for robotics/ML system performance
Automate deployment processes and implement robust testing strategies for the developed systems
Build and maintain tooling to streamline development workflows and data processing pipelines
Collaborate with ML and robotics engineers to improve development efficiency and system reliability
Requirements:
Bachelor’s degree in Computer Science, Software Engineering, or related field
Understanding of model compression and on the edge deployment
Strong programming skills with experience in building production-grade tools and automation scripts
Experience with CI/CD systems and version control platforms (Git)
Understanding of containerization technologies (Docker)
A significant advantage would be:
Prior experience with hardware-in-the-loop setups
Strong understanding of ML/AI concepts and development workflows
What We Offer:
Direct exposure to cutting-edge robotics and machine learning projects, going beyond traditional ML/AI roles
Hands-on experience with real-world robotics and ML applications
(only if it is your thing) Getting down and dirty with real hardware
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