Machine Learning Data Engineer – Contract

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Take responsibility for tracking and reporting computer vision accuracy metrics based on customer and identifier type.

• Examine misclassifications and false negatives, determine root causes, and recognize patterns across various customers and yards.

• Curate, label, and prioritize datasets for model retraining in collaboration with ML and computer vision engineers.

• Develop and enhance the continuous learning pipeline to ensure new models are deployed weekly with minimal manual engineering intervention.

• Establish functional acceptance criteria for computer vision accuracy tailored to each customer and monitor progress.

• Convert accuracy insights into actionable recommendations for engineering teams and customer-facing stakeholders.

• As the pipeline evolves, create labeling and preprocessing tools, execute retraining jobs, and directly address identified error patterns.

⛳️ Requirements

• Over 3 years of experience in data quality, ML data engineering, or applied ML roles.

• Proven experience with computer vision or object detection systems operating in production environments.

• Proficient in writing Python for data analysis, pipeline automation, and dataset tooling.

• Strong analytical skills with the capability to analyze extensive volumes of imagery/data to identify patterns.

• Familiarity with dataset annotation and labeling tools and workflows, such as Roboflow, Labelbox, or CVAT.

• Excellent written and asynchronous communication skills in English.

• Preferred: experience with continuous learning or active learning pipelines in production ML systems.

• Preferred: knowledge of OCR systems and identifier recognition, including license plates and container numbers.

• Preferred: experience collaborating with customer success or support teams on quality metrics.

• Preferred: background in QA/test engineering related to ML systems.

• Preferred: specific experience with Roboflow.

• Ability to work as a full-time contractor through an agency.

• The application form will inquire about legal authorization to work in the United States and potential future visa sponsorship.

🏝️ Benefits

• Direct ownership of the metric that determines the product's effectiveness in real-world applications.

• Work within a small, agile team that values open discussions and trusts engineers to make decisions.

• Significant influence on the ML team’s roadmap.

• Engage with problems rooted in the physical world: gates, cameras, trucks, and yards.

• Active participation in sprints, standups, and Slack channels.

• Full-time contract position managed through an agency.