> Markdown version of [/jobs/ext/4589665-ai-developer-ii](https://www.wearedevelopers.com/jobs/ext/4589665-ai-developer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer II - **Company:** HCL Technologies - **Location:** Tampa, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Software Code Optimization, Nvidia CUDA, Information Engineering, Data Transformation, DevOps, Machine Learning, Language Modeling, Object Detection, Systems Development Life Cycle, Software Deployment, Software Engineering, Web Application Frameworks, Digital Twin, Graphics Processing Unit (GPU), Enterprise Software Applications, Deep Learning, Model Validation, Real-time Inference, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Video Analysis, Restful APIs, Model Inference, NVIDIA Jetson, Intelligent Document Processing, Docker, Pose Estimation, Microservices, Data Generation - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-developer-ii-tampa-fl--9927f262-3074-40c3-a26b-8d7c04559e00 ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI), Automation, Retail, Logistics, Deep Learning, Manufacturing, Computer Vision, Cloud Computing, Scalable System Development, CNNs Vision Transformers (ViT), Understanding of image processing, video analytics, and deep learning fundamentals. Deployment & MLOps Experience with Docker and Kubernetes. Knowledge of ML model serving and monitoring. Exposure to CI/CD pipelines for AI solutions. Familiarity with Azure, AWS, or GCP environments. Edge AI (Preferred) Experience with NVIDIA Jetson platforms. Knowledge of CUDA, TensorRT, DeepStream SDK. Exposure to real-time edge AI deployments. Qualifications Bachelors or Masters degree in Computer Science, AI, Machine Learning, Electronics, or related field. 6-8 years of software development experience with at least 4+ years in Computer Vision and Deep Learning. Preferred Experience Manufacturing quality inspection Warehouse automation Smart surveillance Retail analytics Industrial safety monitoring Digital Twin and Physical AI ecosystems Multimodal AI and Vision-Language Models (VLMs) ## Description VisionX is HCLTechs Physical AI platform focused on delivering intelligent computer vision solutions for manufacturing, logistics, retail, smart spaces, and industrial automation. We are looking for a passionate Computer Vision Developer to design, develop, and deploy scalable vision AI solutions leveraging deep learning, edge AI, and cloud technologies., Computer Vision & AI Development Design, develop, and optimize Computer Vision solutions for: Object Detection Image Classification Semantic & Instance Segmentation OCR & Document AI Pose Estimation Video Analytics Anomaly Detection Train, fine-tune, and evaluate deep learning models using large-scale image and video datasets. Develop end-to-end AI pipelines from data collection, preprocessing, model training, inference, and deployment. Model Optimization & Deployment Optimize AI models using ONNX, TensorRT, OpenVINO, and CUDA for real-time inference. Deploy models on NVIDIA GPUs, Jetson devices, edge servers, and cloud platforms. Improve model accuracy, latency, throughput, and resource utilization. Application Development Build scalable APIs and microservices for AI inference using Python frameworks. Integrate Computer Vision models with enterprise applications and IoT platforms. Collaborate with Full Stack, DevOps, and Edge AI teams for production deployments. Data Engineering Work with image/video annotation and labeling tools. Develop data augmentation pipelines and synthetic data generation techniques. Manage training, validation, and testing datasets for enterprise-scale AI projects.