Job Description & How to Apply Below
Join Mecka AI as an Embedded ML Engineer focused on integrating advanced computer vision into robotics. Enhance models and optimize performance while working with cutting-edge AI technologies in a collaborative environment.
In this role, you will be pivotal in deploying computer vision models on embedded devices. You will leverage your C++ and Python expertise to build efficient inference pipelines while maintaining high performance under strict operational constraints. Your work will contribute to bridging data capture and robotics systems, directly impacting model evaluation and accuracy.
Key Responsibilities:
• Train and evaluate computer vision models for embedded deployment
• Build C++ inference pipelines for embedded Linux systems
• Optimize models for latency, memory, and power efficiency
• Test performance and investigate errors across hardware
• Set architecture standards for lead role candidates
Requirements:
• Strong skills in Python and C++ programming
• Experience with PyTorch for model training
• Knowledge of embedded Linux development
• Understanding of inference optimization techniques
• Experience evaluating model accuracy under various conditions
Drive innovation in robotics and AI by applying your technical skills at Mecka AI.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×