Full-Stack Engineer for ML Tooling
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Summary
Mecka AI is hiring a full-stack engineer in Toronto to build and maintain internal ML tooling for its computer-vision robotics team. Day-to-day work spans owning the annotation platform, building React/Vue frontends and Python APIs, handling media data pipelines and PII blurring, and optimizing models for production.
Join Mecka AI as a Full-Stack Engineer specializing in internal tooling for Machine Learning in robotics. You'll enhance infrastructure for our Computer Vision Machine Learning team to facilitate rapid development.
In this hybrid role, you will maintain the annotation platform and develop efficient ML services. You will be pivotal in enabling the CVML team by creating reliable user-facing applications and optimizing ML experiences. This position combines frontend engineering skills with practical machine learning applications, ensuring high operational impact.
Key Responsibilities: • Own and maintain the annotation platform web application • Implement seamless data pipelines for media handling • Develop tools to track inter-annotator agreement • Manage PII identification and blurring pipelines • Optimize models for deployment in production
Requirements: • Proficiency in frontend engineering using React or Vue • Strong Python experience for developing APIs • Practical ML deployment with real-world data • Familiarity with video processing techniques • Understanding of UI/UX principles for efficiency
Elevate Mecka AI's data infrastructure by leveraging your full-stack skills in a cutting-edge ML environment.
In this hybrid role, you will maintain the annotation platform and develop efficient ML services. You will be pivotal in enabling the CVML team by creating reliable user-facing applications and optimizing ML experiences. This position combines frontend engineering skills with practical machine learning applications, ensuring high operational impact.
Key Responsibilities: • Own and maintain the annotation platform web application • Implement seamless data pipelines for media handling • Develop tools to track inter-annotator agreement • Manage PII identification and blurring pipelines • Optimize models for deployment in production
Requirements: • Proficiency in frontend engineering using React or Vue • Strong Python experience for developing APIs • Practical ML deployment with real-world data • Familiarity with video processing techniques • Understanding of UI/UX principles for efficiency
Elevate Mecka AI's data infrastructure by leveraging your full-stack skills in a cutting-edge ML environment.