Senior Computer Vision Engineer
2 weeks ago
Location:
Remote / ChennaiJob Type:
Full-TimeExperience:
4+ Years in AI/ML (with product-level experience in image/video data)
About iAgent Protocol:
iAgent Protocol empowers gamers to train AI agents from their gameplay footage, creating a new blockchain-based digital asset class. We combine AI, blockchain, and gaming, allowing users to train, trade, and monetize personalized gaming agents. Using decentralized GPU computing (ComputeHub) for training, agents are traded on the MarketHub and compete in the GameHub. Our native token, $AGNT, ensures fair rewards and transactions. We also provide SDKs, APIs, and tools for game developers and AI researchers, fostering innovation, ownership, and community engagement.
Role Overview:We are seeking a
Senior Computer Vision Engineer
with hands-on experience in developing image and video AI solutions. You will play a key role in building innovative AI systems to analyze and optimize image/video data, directly contributing to the creation of intelligent digital agents for gamers.
Key Responsibilities:
Design, deploy, and optimize AI models for image/video processing.Leverage pre-trained models (ImageNet, VGGNet, ResNet) and frameworks (YOLO, Vision Transformers).Focus on real-time image/video analysis and object detection/segmentation.Lead and mentor junior engineers in AI/ML best practices.Develop scalable data pipelines for model training and deployment.Integrate AI models into production systems and monitor their performance.Optimize models using tools like MLFlow and containerization for GPU deployment.Collaborate with cross-functional teams to develop high-quality, scalable AI solutions.Stay ahead of industry trends and push the boundaries of image/video AI.
Skills & Qualifications:4+ years of experience with image/video data in a product context.Expertise in TensorFlow/PyTorch, CNNs, YOLO, ResNet, VGGNet, and Vision Transformers.Experience with image/video data pipelines and model optimization techniques.Proficiency in Python and tools like MLFlow for experiment tracking.Experience with video processing models (FlowNet, video segmentation).Experience deploying AI models in cloud environments (AWS, GCP).Knowledge of autoencoders and advanced deep learning architectures.
Why Join Us?Competitive Salary & Benefits:
Health insurance, retirement plans, and performance bonuses.Flexibility:
Remote work and flexible hours.Career Growth:
Opportunities for professional development, training, and leadership roles.Innovation:
Work on cutting-edge AI projects that blend gaming, AI, and blockchain.
Interested?
Apply today and help shape the future of gaming and AI
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