Drive advancements in robotics at Mecka AI as an Embedded Machine Learning Engineer. Contribute to model training and deployment while optimizing performance for embedded devices. In this key role, you will leverage your robust Python and C++ skills to train and evaluate computer vision models.

Work closely in embedded Linux settings and ensure accurate performance across varying conditions. If you aspire to technical leadership, you will set architecture standards while guiding implementation. Key Responsibilities:
Train and evaluate computer-vision models for embedded systems
Build C++ inference pipelines integrated with Linux
Optimize models for latency, memory, and power
Test performance on relevant data and investigate errors
For lead role: Establish architecture and workflows Requirements:
Solid Python and C++ programming skills
Experience with PyTorch framework for model training
Proficient in embedded Linux development
Understanding of model optimization techniques

�� Experience with performance evaluation in varying conditions Make an impact in robotics through model optimization and embedded deployment at Mecka AI.

📌 Embedded Machine Learning Engineer Mecka Ai Toronto
🏢 Kindredventures
📍 Toronto