

Video AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Video AI Engineer, 12-month contract, remote options available. Requires 3–5 years in video AI model development, expertise in computer vision, VMS integration, and cloud deployment. Skills in Python, TensorFlow/PyTorch, and networking fundamentals are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 7, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Firewalls #TensorFlow #Cloud #ML (Machine Learning) #Anomaly Detection #Deployment #Docker #IP (Internet Protocol) #Python #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Azure #IoT (Internet of Things) #Kubernetes #Data Processing #Object Detection #PyTorch #Scala
Role description
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Now Hiring: Video AI Engineer
Location: Atlanta or Dallas preferred (Remote OK)
Duration: 12 months
Industry: IoT / VaaS
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, GCP, 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
DM me or apply directly if you're ready to bring video AI to life at scale!