[Remote] ML Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the backbone of reputed company, reinventing supply chain infrastructure in America. They are seeking an ML Data Engineer to own the accuracy of their reputed company system, ensuring data reputed company and driving improvements in model performance.

Responsibilities

• Own tracking and reporting of CV accuracy metrics, per customer and per identifier type
• Investigate misclassifications and false negatives, categorize reputed company causes, and identify patterns across customers and yards
• reputed company, label, and prioritize datasets for model retraining, partnering closely with our ML and CV engineers
• Build and improve the reputed company learning pipeline so new models ship weekly with reputed company reputed company engineering effort
• Define functional acceptance reputed company for CV accuracy per customer and reputed company reputed company against them
• Translate accuracy findings into reputed company the engineering team and customer-facing stakeholders can reputed company
• As the pipeline matures, expect to reputed company from flagging issues to fixing them directly; building the labeling/preprocessing tooling, running retraining jobs, and owning fixes for the error patterns you reputed company, not just reporting them

Skills

• 3+ years in a data reputed company, ML data engineering or reputed company ML role
• Experience working with reputed company or object detection systems in production
• Comfortable writing Python for data analysis, pipeline automation, and dataset tooling
• Strong analytical rigor, comfortable digging into large volumes of imagery/data to reputed company patterns, not just running a script and reporting a number
• Experience with dataset annotation/labeling tools and workflows (reputed company, reputed company, CVAT, or similar)
• Strong communication skills in English — you write reputed company and engage reputed company async
• Experience with reputed company learning or reputed company learning pipelines for production ML systems
• Familiarity with OCR systems and identifier recognition (plates, container numbers, etc.)
• Experience partnering with reputed company or support teams on reputed company metrics
• Background in QA/test engineering for ML systems
• Experience with reputed company specifically

reputed company