Overview
On Site
Hybrid
USD 70.00 per hour
Full Time
Skills
Microservices
Python
Deep Learning
PyTorch
OWL
Internationalization And Localization
Computer Vision
Kubernetes
Docker
Amazon SageMaker
Machine Learning Operations (ML Ops)
Ubuntu
Linux
Machine Learning (ML)
Artificial Intelligence
Job Details
Date Posted: 06/16/2025
Hiring Organization: Rose International
Position Number: 484226
Industry: Media and Entertainment
Job Title: Computer Vision Machine Learning Engineer
Job Location: Orlando, FL, USA, 32819
Work Model: Hybrid
Work Model Details: 3 days/week onsite
Shift: 8 am to 5 pm
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 70.00
Max Hourly Rate($): 80.00
Must Have Skills/Attributes: AWS, Kubernetes, Python
Experience Desired: YOLO, OWL and MLOps (3 yrs); Hyperparameter Tuning (3 yrs); Event-Driven Microservices (3 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
Job Description
***Only qualified Computer Vision Machine Learning Engineer candidates located near the Orlando, FL area to be considered due to the position requiring an onsite presence***
Key Skills:
YOLO, OWL
Python, PyTorch
Kubernetes, Ubuntu
Hyperparameter Tuning
MLOps
AWS SageMaker
Event-Driven Microservices
Required Skills & Qualifications:
Proficiency in Python and deep learning frameworks, especially PyTorch
Strong hands-on experience with YOLO (You Only Look Once) and OWL (Open-World Localization) object detection models
Solid understanding of computer vision tasks: object detection, segmentation, classification
Experience deploying models using Kubernetes, Docker, and AWS SageMaker
Familiarity with MLOps tools such as MLflow or Weights & Biases
Expertise in Ubuntu/Linux environments for ML/AI experimentation and deployment
Demonstrated success in hyperparameter tuning for large models
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 484226
Industry: Media and Entertainment
Job Title: Computer Vision Machine Learning Engineer
Job Location: Orlando, FL, USA, 32819
Work Model: Hybrid
Work Model Details: 3 days/week onsite
Shift: 8 am to 5 pm
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 70.00
Max Hourly Rate($): 80.00
Must Have Skills/Attributes: AWS, Kubernetes, Python
Experience Desired: YOLO, OWL and MLOps (3 yrs); Hyperparameter Tuning (3 yrs); Event-Driven Microservices (3 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
Job Description
***Only qualified Computer Vision Machine Learning Engineer candidates located near the Orlando, FL area to be considered due to the position requiring an onsite presence***
Key Skills:
YOLO, OWL
Python, PyTorch
Kubernetes, Ubuntu
Hyperparameter Tuning
MLOps
AWS SageMaker
Event-Driven Microservices
Required Skills & Qualifications:
Proficiency in Python and deep learning frameworks, especially PyTorch
Strong hands-on experience with YOLO (You Only Look Once) and OWL (Open-World Localization) object detection models
Solid understanding of computer vision tasks: object detection, segmentation, classification
Experience deploying models using Kubernetes, Docker, and AWS SageMaker
Familiarity with MLOps tools such as MLflow or Weights & Biases
Expertise in Ubuntu/Linux environments for ML/AI experimentation and deployment
Demonstrated success in hyperparameter tuning for large models
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.