[xrecnet] Computer Vision Scientist /// Corpus Christi, TX /// Longterm Contract ( USC Only )

Hi All,

Please share your candidates profiles to vardhan@tetrahed.com

Hi All,

Please share your candidates profiles to vardhan@tetrahed.com

Job Title: Computer Vision Scientist

Location: Corpus Christi, TX

Need only USC Citizens (Native)

Job Description

We are seeking a highly skilled Computer Vision Scientist to design, develop, and deploy advanced hashtag#AI/ML and computer vision solutions. The ideal candidate will have strong experience across the full machine learning lifecycle, including model development, optimization, and hashtag#MLOps, with a focus on building scalable, production-ready systems.

Responsibilities

Design, develop, and implement computer vision and machine learning models for real-world applications
Apply deep learning techniques for image and video analysis (e.g., object detection, segmentation, classification)
Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
Build, deploy, and maintain ML pipelines using ML Ops best practices
Optimize model performance, scalability, and reliability in production environments
Conduct data analysis, feature engineering, and model evaluation
Stay current with the latest advancements in AI, ML, and computer vision research
Required Qualifications
Strong experience in Computer Vision, Machine Learning, and Deep Learning
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar
Experience with image and video processing techniques
Hands-on experience with ML Ops, including model deployment, monitoring, and CI/CD pipelines
Solid understanding of data structures, algorithms, and software engineering principles

Preferred Qualifications

Experience with cloud platforms (AWS, Azure, or IBM Cloud)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Experience working in enterprise or large-scale production environments

Thanks,

Vardhan 

Email: vardhan@tetrahed.com

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