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NEXTMOVEFDE careers · United States

Machine Learning Engineer - Computer Vision

About CaseGuard

AI software that automatically redacts PII/PHI from video, audio, documents, and images for law enforcement, government, legal, and healthcare compliance.

Bootstrapped · 10–50 people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges. Key Responsibilities: Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition. Optimize and fine-tune deep learning algorithms for real-time performance. Work closely with the software engineers and product teams to identify opportunities for leveraging data. Collect, clean, and preprocess large datasets to prepare for model training and evaluation. Evaluate and optimize machine learning
More from the job description

We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models focused on image and video processing. You will work closely with cross-functional teams to design, implement, and optimize vision-based AI solutions to address real-world challenges. Key Responsibilities: Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition. Optimize and fine-tune deep learning algorithms for real-time performance. Work closely with the software engineers and product teams to identify opportunities for leveraging data. Collect, clean, and preprocess large datasets to prepare for model training and evaluation. Evaluate and optimize machine learning models for accuracy, performance, and scalability. Deploy models into production environments and monitor their performance to ensure reliability. Stay up-to-date with the latest advancements in computer vision and artificial intelligence. Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Document processes, models, and implementations to ensure reproducibility and scalability. Required Qualifications: Bachelor's or Master’s degree in Comp [... source excerpt omitted ...] es. We invest in people. We nurture skills consistent with our values and our future strategy. Our passionate pursuit of excellence, the application of our creativity to solve our clients’ challenges, our technical expertise, and our collaborative spirit are measures of our success.

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