Computer Vision Engineer

Profile : -

• We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models.
• The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries.

Requirements : -

• Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products.
• Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms.
• Exposure to agentic AI frameworks, with a strong interest in building autonomous, multi-step CV workflows and tool-integrated agents.
• Solid programming skills with Python and C/C++. Good to have MatLAB experience.
• Should have used GPU computing (CUDA, OpenCL) and HPC
• Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services.
• Hands on experience in developing efficient Computer Vision products.
• Should have extensive experience in cloud like AWS/Azure and Google.
• Implementation of research papers at the expected level of quality.
• Experience in using the dockerized container with micro services for deploying the applications.
• Experience in using the NoSQL databases.
• Ability to optimize the models to TensorRT and publishing for various edge devices.
• Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc.
• Experience with Samsung Neural is an advantage.

Responsibilities : -

• Own the product development milestone, ensure delivery to the architecture and identify challenges.
• Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company.
• Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications.
• Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration.
• Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction.
• Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules.
• Visualization and solid understanding of deep neural networks.
• Experience with object detection, tracking, classification, recognition, scene understanding.
• Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms
• Experience/exposure to usage of open source technologies.
• Experience in owning technical architecture of the products, planning roadmaps and technically managing the team.
• Evaluate and advise on new technologies, vendors, products and competitors.
• Initiative and the ability to work independently and in a team.
• Must have managed teams but at the same time be a hands-on technology person.