AI Developer II
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026.
Job Summary
VisionX is HCLTech's 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.
Key Responsibilities
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.
Skill Requirements
Technical Skills
Strong programming experience in Python
Hands-on expertise with:
OpenCV
PyTorch
TensorFlow
NumPy
Scikit-learn
Experience with:
CNNs
Vision Transformers (ViT)
YOLO
Faster R-CNN
Segment Anything Model (SAM)
OCR Frameworks
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
Bachelor's or Master's 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)
Nice to Have
NVIDIA DeepStream
Isaac Sim
ROS2
Synthetic data generation
Generative AI for Vision Applications
Vision-Language Models (CLIP, Florence, LLaVA)