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From Home Image Segmentation Jobs in Florida (NOW HIRING)

AgileEngine

Senior Computer Vision Engineer ID72408

Tampa, FL · On-site +1

$98K - $135K/yr

... image segmentation, classification, and video analysis. You will evaluate and fine-tune model ... from the office (onsite); - Strong, production-level proficiency in Python ; - Deep hands-on ...

AgileEngine

Senior Computer Vision Engineer ID72408

Miami, FL · On-site +1

$99K - $137K/yr

... image segmentation, classification, and video analysis. You will evaluate and fine-tune model ... from the office (onsite); - Strong, production-level proficiency in Python ; - Deep hands-on ...

AgileEngine

Senior Computer Vision Engineer ID72408

Miami, FL · On-site

$99K - $137K/yr

... image segmentation, classification, and video analysis. You will evaluate and fine-tune model ... from the office (onsite); - Strong, production-level proficiency in Python ; - Deep hands-on ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

... image segmentation, and Vision Transformers. * Working experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy ...

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL · On-site

... image segmentation, and Vision Transformers. * Working experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy ...

Next Frontier Capital

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

... image segmentation, and Vision Transformers. * Working experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL · On-site

... image segmentation, and Vision Transformers. * Working experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy ...

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All JobsImage Segmentation JobsFrom Home Image Segmentation JobsFrom Home Image Segmentation Jobs in Florida

From Home Image Segmentation information

What is the difference between From Home Image Segmentation vs From Home Data Annotation?

AspectFrom Home Image SegmentationFrom Home Data Annotation
Primary FocusSegmenting images into meaningful partsLabeling data points or objects in images
Required SkillsComputer vision, image processing, annotation toolsData labeling, attention to detail, annotation software
Work EnvironmentRemote, flexible, tech-focusedRemote, flexible, data-driven
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data training

From Home Image Segmentation involves dividing images into segments for AI training, requiring technical skills in image processing. From Home Data Annotation focuses on labeling data for machine learning, emphasizing accuracy in data labeling. Both roles are remote, industry-specific, and essential for AI development, but they differ in technical complexity and focus areas.

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From Home Image Segmentation jobs near you

Senior Computer Vision Engineer ID72408

Tampa, FL • On-site, Remote

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

$98K - $135K/yr

Full-time

Posted 8 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 Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

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;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, 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);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- 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.