AI Developer II

HCL Technologies
Tampa, FL, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

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
+26 more
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

Job 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.

Requirements

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)

About the company

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.

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