Computer Vision/ Machine Learning Engineer

New Yesterday

HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Job Description: We're looking for a Computer Vision Engineer to support the development, training, and deployment of cutting-edge visual recognition models. This individual will play a key role in building end-to-end machine learning workflows, optimizing model performance, and ensuring smooth deployment into production environments. The position blends hands-on deep learning experience with infrastructure-focused engineering to support scalable, real-world applications.
What You'll Do:
Build and deploy computer vision models using object detection frameworks such as YOLO and OWL.
Develop scalable training, evaluation, and deployment pipelines using Kubernetes and Docker in Linux-based environments.
Conduct in-depth tuning and optimization of model parameters for performance and accuracy.
Integrate models into larger systems, contributing to automation, monitoring, and production-readiness within MLOps frameworks.
Work closely with engineers and data scientists to enable robust model lifecycle management.
Research new trends in vision models and incorporate innovative techniques where applicable.
Must Have Skills
Proficiency in Python and deep learning tools, particularly PyTorch
Strong understanding of object detection and classification models
Practical experience with YOLO and OWL or similar open-world detection frameworks
Familiarity with model deployment platforms such as AWS SageMaker
Solid command of containerized environments using Kubernetes and Docker
Background in Ubuntu/Linux for experimentation and deployment
Experience with hyperparameter tuning for large-scale models
Exposure to MLOps tools such as MLflow
Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.
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Location:
Orlando, FL, United States

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