Computer Vision Pipeline Engineer in Orlando, FL or Glendale/Los Angeles, CA?

Overview

On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

LOS
Computer Vision
Use Cases
Optimization
Build Tools
Evaluation
Workflow
Collaboration
Research
Python
Deep Learning
PyTorch
OWL
Kubernetes
Docker
Amazon SageMaker
Machine Learning Operations (ML Ops)
Ubuntu
Linux
Artificial Intelligence
Machine Learning (ML)
Real-time
Training
Microservices
3D Computer Graphics
Health Care
Legal
Insurance

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).
Required Skills & Qualifications:
  • 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).
Preferred Qualifications:
  • 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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