Video AI Engineer

Overview

$market rate
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - long term

Skills

IoT
Computer Vision
Data Processing
Machine Learning (ML)
IaaS
Analytics
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
RTSP
Video Compression
H.264/MPEG-4 AVC
Collaboration
Intellectual Property
IP
Virtual Private Network
NAT
Firewall
Artificial Intelligence
Video
Python
TensorFlow
PyTorch
Virtual Machines
Real-time
Streaming
Cloud Computing
Computer Networking
Customer Facing
Solution Architecture
Docker
Kubernetes
Machine Learning Operations (ML Ops)
IMG
SAINT
Technical Direction

Job Details

Location: Atlanta or Dallas preferred (Remote OK)

Duration: 12 months

Our client, a global leader in IoT solutions, is seeking a Senior Video AI Engineer with 3 5 years of hands-on experience developing and deploying video AI models. This role requires deep expertise in computer vision, video data processing, VMS integration, and real-time AI inferencing. The ideal candidate will possess a strong combination of AI/ML development skills, practical knowledge of video systems, camera configurations, networking, and cloud infrastructure. This is a highly technical role requiring strategic insight and the ability to engage with stakeholders to design scalable, production-ready video analytics solutions.

What You'll Do

  • Build & optimize AI models (object detection, tracking, anomaly detection)
  • Handle video data preprocessing & annotation
  • Integrate with VMS platforms (Milestone, Genetec, etc.)
  • Deploy AI at the edge & in cloud (AWS, Google Cloud Platform, Azure)
  • Configure camera systems (AXIS, Hanwha)
  • Work with RTSP/WebRTC & video compression (H.264/H.265)
  • Collaborate on networking (IP, VPNs, NAT, firewalls)
  • Engage with customers to design scalable AI video solutions

Must-Have Skills

  • Python, TensorFlow/PyTorch, YOLO, ONNX, TensorRT, OpenVINO
  • VMS integration & real-time streaming
  • Cloud deployment experience
  • Strong networking fundamentals
  • Client-facing/solution architecture experience

Nice to Have

  • Docker & Kubernetes
  • Experience with MLOps and edge deployments

Education: Bachelor's or Master's in CS, EE, or related field

Sandip Kumar
Sr. Tech Recruiter

Email:

Address:
505 Knolle Court
Saint Augustine, FL 32092

Telephone:
+1

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