HCLTech is hiring Vision AI Engineer for Noida/Chennai location.About HCLTech: HCLTech is a global technology company, home to more than 218,000 people across 59 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 2024 totaled $13.7 billion. To learn how we can supercharge progress for you, visit .The dedicated business unit – “AIoT & Industrial AI” leads the Industrial AI and (A)IoT Business end-to-end for HCL Technologies including overall product direction, new business models, ecosystem and pioneer customer engagements in partnership with Engineering and Application Services. We have a unique opportunity in the area of Industrial AI & IoT platform and services where HCL Technologies can lead business model transformations for customers.Job Description: Overall Experience:5 to 10 yrs Location:Noida/Chennai Notice Period : Immediate/30 daysRole Overview We are seeking aSenior Computer Vision Developerto design, build, and deployvision-based AI solutionsfor real-world applications. The role requires deep hands-on experience withimage/video analytics, deep learning model development, optimization, and deployment . You will work closely with AI Architects and data engineers to deliver high-performance, production-grade vision systems.Experience Required 5–8 years of experience in AI/ML engineering, with3+ years specialized in Computer Vision . Hands-on deployment ofvision models in production environments(edge or cloud). Proven experience inoptimizing models for real-time inference . Strong track record of buildingvision AI solutions for real-world use cases(retail, healthcare, manufacturing, autonomous systems, surveillance, etc.).Key Responsibilities Model Development & Training Implement and fine-tunestate-of-the-art computer vision modelsfor object detection, classification, segmentation, OCR, pose estimation, and video analytics. Applytransfer learning, self-supervised learning, and multimodal fusionto accelerate development. Experiment withgenerative vision models(GANs, Diffusion Models, ControlNet) for synthetic data augmentation and creative tasks. Vision System Engineering Develop and optimizevision pipelinesfrom raw data preprocessing → training → inference → deployment. Buildreal-time vision systemsfor video streams, edge devices, and cloud platforms. ImplementOCR and document AIfor text extraction, document classification, and layout understanding. Integrate vision models intoenterprise applicationsvia REST/gRPC APIs or microservices. Optimization & Deployment Optimize models forlow-latency, high-throughput inferenceusing ONNX, TensorRT, OpenVINO, CoreML. Deploy models oncloud (AWS/GCP/Azure)andedge platforms (NVIDIA Jetson, Coral, iOS/Android) . Benchmark models foraccuracy vs performance trade-offsacross hardware accelerators. Data & Experimentation Work withlarge-scale datasets(structured/unstructured, multimodal). Implementdata augmentation, annotation pipelines, and synthetic data generation . Conduct rigorous experimentation and maintainreproducible ML workflows .Required Skills & Qualifications Programming:Expert in Python; strong experience with C++ for performance-critical components. Deep Learning Frameworks:PyTorch, TensorFlow, Keras. Computer Vision Expertise: Detection & Segmentation:YOLO (v5–v8), Faster/Mask R-CNN, RetinaNet, Detectron2, MMDetection, Segment Anything. Vision Transformers:ViT, Swin, DeiT, ConvNeXt, BEiT. OCR & Document AI:Tesseract, PaddleOCR, TrOCR, LayoutLM/Donut. Video Understanding:SlowFast, TimeSformer, action recognition models. 3D Vision:PointNet, PointNet++, NeRF, depth estimation. Generative AI for Vision:Stable Diffusion, StyleGAN, DreamBooth, ControlNet. MLOps Tools:MLflow, Weights & Biases, DVC, Kubeflow. Optimization Tools:ONNX Runtime, TensorRT, OpenVINO, CoreML, quantization/pruning frameworks. Deployment:Docker, Kubernetes, Flask/FastAPI, Triton Inference Server. Data Tools:OpenCV, Albumentations, Label Studio, FiftyOne.Interested candidates, kindly share their resume on paridhnya_dhawankar@ with below details:Overall Experience: Relevant Exp with Vision AI: Notice Period: Current and Expected CTC: Current and Preferred Location:
Job Title
Vision AI Engineer || Noida and Chennai