Contribute to robotics advancement at Mecka AI as a Full-Stack Engineer specialized in ML tooling and infrastructure. Your work will bolster our Computer Vision Machine Learning initiatives. This hybrid engineering role will have you managing the internal annotation systems while implementing critical ML services.

Your ability to merge front-end development with practical machine learning will empower our team to deliver robust AI solutions efficiently. You'll leave a significant mark on our robotics data workflows through this impactful role. Key Responsibilities:
Oversee the annotation platform and user interface
Develop data pipelines for productive media processing
Measure quality and performance for data systems
Implement PII detection and blurring features
Optimize ML models for user-facing applications Requirements:
Solid skills in frontend technologies (React/Vue)
Proficient in Python with experience in FastAPI
Practical experience with ML model deployment
Knowledge of video processing systems
Passion for enhancing user interactions and workflows Drive Mecka AI's success by leveraging your full-stack capabilities in a transformative ML workplace.

📌 Ml Tooling Full Stack Engineer Role Toronto (Canada)
🏢 mecka
📍 Canada