Teams at AgileEngine

Author and QA AI-driven automations for healthcare workflows, execute high-volume repetitive automation tasks accurately, provide support and documentation, improve core applications and developer tooling, and collaborate with product, engineering, and QA teams using GitHub, Slack, and JIRA during a fast-ramp 3-month contract.

Own applied computer vision and machine learning development, translating business needs into scalable solutions. Build, fine-tune, evaluate, and deploy models for object detection, segmentation, classification, video analysis, forecasting, anomaly detection, regression, and clustering. Address real-world constraints involving lighting, sensors, cameras, data quality, and edge-device computing to ensure reliable production performance.

Supports AI/ML workflows involving large-scale image and video datasets. Responsibilities include curating datasets, managing annotation processes, running model training and evaluation jobs, maintaining benchmarks, documenting results, tracking performance, and analyzing model failure cases with senior engineers. The role provides hands-on experience with computer vision and a growth path toward applied modeling or MLOps.