ML Tooling Full-Stack Engineer Role
MECKA · Toronto, Canada ·
- Category
- Fullstack
Full-stack engineer at Mecka AI building ML tooling and infrastructure for robotics computer vision: running the internal annotation platform, developing media data pipelines, adding PII detection/blurring, and optimizing ML models for user-facing apps. Stack spans React/Vue front-end, Python/FastAPI services, and video processing.
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 efficient 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.
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 efficient 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.