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 effective media processing • Measure quality and performance for data systems • Implement PII detection and blurring features • Optimize ML models for user-facing applications

Requirements: • Strong 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 environment.

📌 ML Tooling Full-Stack Engineer Role (Toronto)
🏢 mecka
📍 Toronto