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Contractual Computer Vision Engineer Jobs in Florida

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines ... computer vision and/or large imagery formats such as NITF • Publications or GitHub repos ...

Working knowledge of macro creation, as well as programming and SQL languages. * Experienced usage ... Knowledge of OCR, Computer Vision, and document classification/extraction techniques. * Familiarity ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Seeking a Machine Learning Engineer for the following role - Generative AI & ML Frameworks: PyTorch ... Strong background in computer vision, NLP, and audio processing for generative applications

Showing results 21-40

Contractual Computer Vision Engineer information

What is the difference between Contractual Computer Vision Engineer vs Contractual Machine Learning Engineer?

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are the most commonly searched types of Computer Vision Engineer jobs in Florida?

The most popular types of Computer Vision Engineer jobs in Florida are:

What are popular job titles related to Contractual Computer Vision Engineer jobs in Florida?

For Contractual Computer Vision Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Contractual Computer Vision Engineer jobs in Florida look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in Florida are:

What cities in Florida are hiring for Contractual Computer Vision Engineer jobs?

Cities in Florida with the most Contractual Computer Vision Engineer job openings:

ML Ops Engineer

Raft

Tampa, FL • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
Responsibilities:
• Collaborate with a cross-functional data team comprising AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
• Design, build, and maintain the infrastructure and pipelines that enable Machine Learning model training, deployment, and scaling.
• Manage distributed workloads across GPU-enabled Kubernetes clusters and ensure efficient resource orchestration between training and inference operations.
Qualifications:
Required:
• 3+ years of relevant hands-on experience
• Experience building and maintaining machine learning pipelines
• Strong Python skills for defining and maintaining ML pipelines
• Practical experience with PyTorch (TensorFlow experience acceptable)
• Airflow for job orchestration, particularly managing resources between training and inference workloads
• Strong Kubernetes experience including managing local clusters, running different flavors, and managing custom resource definitions
• Istio networking experience in Kubernetes environments
• Experience working with MinIO object storage
• Must have hands-on experience running GPU workloads on Kubernetes
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Active TS with ability to obtain and maintain SCI
Preferred:
• CENTCOM or DoD experience
• Experience with time slicing GPUs on Kubernetes
• Exposure to computer vision and/or large imagery formats such as NITF
• Publications or GitHub repos showcasing your skills
• Experience with Docker and container orchestration best practices
Company:
Raft develops data integration, AI, and software platforms that support defense, national security, and government mission operations. Founded in 2018, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.