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Home Based Vision Engineer Jobs in Florida (NOW HIRING)

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Home Based Vision Engineer information

What is the difference between Home Based Vision Engineer vs Remote Vision Specialist?

AspectHome Based Vision EngineerRemote Vision Specialist
Required CredentialsBachelor's in Vision Science or related field, certifications in ophthalmic technologySimilar certifications, often with additional focus on telehealth tools
Work EnvironmentHome office setup, often with client or lab interactionPrimarily remote, using telecommunication tools, minimal in-person contact
Employer & Industry UsageOptometry clinics, vision care companies, telehealth providersTelehealth platforms, vision care companies, remote diagnostics services

Both roles involve remote work with a focus on vision-related tasks, but Home Based Vision Engineers often have more hands-on equipment interaction, while Remote Vision Specialists focus on remote diagnostics and consultations. The choice depends on the specific job responsibilities and required certifications.

What cities in Florida are hiring for Home Based Vision Engineer jobs?

Cities in Florida with the most Home Based Vision Engineer job openings:

Home Based Vision Engineer jobs near you

Junior/Middle Computer Vision Engineer ID72410

Fort Lauderdale, FL • On-site, Remote

AgileEngine
Software Development • 201 - 500 employees
Learn more about AgileEngineexternal

Full-time

Posted 20 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
- Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
- Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
- Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
- Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
- Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
- Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Foundational coding skills in Python;
- Foundational understanding of machine learning concepts and workflows;
- Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
- Basic familiarity with cloud environments and compute resources;
- A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
- Excellent attention to detail, specifically regarding data quality and documentation;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.