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 setting.

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.
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📌 Embedded ML Engineer at Mecka AI (Ontario)
🏢 Mecka.Ai
📍 Ontario