Overview
Skills
Job Details
Title: Computer Vision / Machine Learning Engineer
Location: Orlando, FL or Glendale/Los Angeles, CA
Hybrid - 2x days/week onsite (subject to change)
Pay: $70/hr - $80/hr on W2
Contract: W2; 6 months contract (possibility of extension or conversion)
Client: Fortune 50 Company
Job Summary:
We are seeking a Computer Vision Pipeline Engineer to help build, experiment with, and deploy cutting-edge computer vision models. This role combines deep learning expertise with infrastructure engineering to create scalable training, evaluation, and deployment pipelines for real-world CV use cases.
Key Responsibilities:
- Deploy large-scale CV models (YOLO, OWL) with optimized performance and efficiency.
- Design and implement training and deployment frameworks (Kubernetes, Ubuntu).
- Conduct hyperparameter tuning and large-model optimization.
- Build tools for model evaluation, tracking, and monitoring within MLOps workflows.
- Collaborate cross-functionally to integrate CV models into production pipelines.
- Stay up to date with the latest in CV research (foundation models, prompt-based detection).
- Strong Python coding and deep learning (PyTorch) experience.
- Expertise with object detection models - YOLO, OWL.
- Experience deploying models via Kubernetes, Docker, AWS SageMaker.
- MLOps familiarity: MLflow, Weights & Biases, etc.
- Proficiency in Ubuntu/Linux for ML/AI deployment.
- Proven experience with hyperparameter tuning of large models.
- Bachelor s or Master s degree in CS, ML, or related field (PhD a plus).
- Experience with real-time inference and edge deployment: TensorRT, ONNX Runtime, Jetson.
- Familiarity with distributed training systems.
- Exposure to event-driven microservices and scalable architectures.
Benefits Info
Pride Global offers eligible employee s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
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