Lucent Innovation

2 days ago

Ahmedabad India Lucent Innovation Full time

Job Description Description Job Title : Computer Vision Engineer Experience : 23 Years About The Role We are seeking a talented Computer Vision Engineer with 23 years of hands-on experience in developing, implementing, and optimizing computer vision and deep learning models. You will work on cutting-edge image and video analytics projects, develop real-time algorithms, and collaborate with cross-functional teams to ship production-ready solutions. This role offers an exciting opportunity to work on innovative applications across AI-driven automation, object detection, image classification, OCR, and more. Key Responsibilities : Vision & Deep Learning Development : - Develop and implement computer vision algorithms for image classification, object detection, segmentation, tracking, and related tasks. - Build, train, and optimize deep learning models using frameworks such as TensorFlow, Keras, PyTorch, OpenCV. - Implement real-time inference pipelines for edge devices, desktop, or cloud environments. Data Pipeline & Preprocessing - Collect, preprocess, and annotate large image/video datasets. - Perform data augmentation, normalization, and dataset balancing. - Work with tools like LabelImg, COCO format, Roboflow, etc. Model Optimization & Deployment - Optimize models for performance, speed, and accuracy (quantization, pruning, ONNX conversion). - Deploy models on production environments such as NVIDIA GPUs, TensorRT, ONNX Runtime, Docker, AWS/GCP/Azure. - Develop scalable APIs or microservices to serve CV models. Research & Innovation- Experience deploying CV models with REST APIs (Flask/FastAPI). - Stay updated with recent advancements in CV architectures (YOLO, DETR, Mask R-CNN, Vision Transformers, etc. - Experiment with state-of-the-art techniques and propose improvements for model performance. - Contribute to building reusable modules, libraries, and internal CV & Documentation : - Work closely with product, engineering, and QA teams to understand project goals and define scalable solutions. - Document algorithms, model performance metrics, and deployment procedures. - Participate in code reviews and contribute to team knowledge Skills & Experience Skills : - 2 - 3 years of experience in Computer Vision, Deep Learning, or ML engineering. - Strong proficiency in Python and libraries such as NumPy, OpenCV, Pillow. - Hands-on experience with PyTorch and/or TensorFlow/Keras. - Experience with CV tasks such as : - Object detection (YOLO, SSD, Faster R-CNN) - Segmentation (UNet, Mask R-CNN) - OCR (Tesseract, EasyOCR, CRNN-based models) - Feature extraction & image enhancement - Familiarity with Git, cloud platforms (AWS/GCP), and Linux environments. Soft Skills - Strong problem-solving and analytical skills. - Ability to translate business needs into technical solutions. - Excellent communication and teamwork. - A continuous learning mindset with passion for AI/ML / Bonus Skills : - Knowledge of Edge AI : Jetson Nano/Xavier, Coral TPU, Raspberry Pi. - Experience with MLOps, Docker, CI/CD pipelines. - Understanding of 3D vision (structure from motion, depth estimation). - Experience working with time-series video analytics (ref:hirist.tech)

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