Embedded Machine Learning Engineer Mecka AI

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 strong Python and C++ skills to train and evaluate computer vision models. Work closely in embedded Linux environments 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:

• Strong 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.