4 Rcnn Jobs

5+ Yrs exp in Computer Vision. Expertise in OpenCV, TensorFlow/PyTorch, Deep Learning. Experience in Design, building, and deploying computer vision models using YOLO, ResNet, CNN, RCNN, OpenCV. Custom model training. Immediate joiner only.

The Computer Vision Engineer position in Hyderabad requires someone with 3 to 5 years of experience in developing, implementing, and optimizing deep learning models. As a Deep Learning Engineer, you will be responsible for driving advanced AI solutions across various industries by leveraging your expertise in neural networks, data processing, and model deployment. Your main responsibilities will include owning the product development milestones, ensuring delivery to the architecture, and identifying challenges. You will drive innovation in the product, cater to successful initiatives, and establish engineering best practices for core product development teams within the company. In this role, you will be involved in developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores. You will also engage in research and development efforts focused on advanced product-critical computer vision components, such as feature extraction, tracking objects, and sensor calibration. Solid programming skills in Python and C/C++, as well as experience with TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, and various neural networks, frameworks, and platforms are essential. Previous exposure to GPU computing, HPC, cloud services like AWS/Azure/Google, and NoSQL databases will be beneficial. You should have hands-on experience in deploying efficient Computer Vision products, implementing research papers, using dockerized containers with microservices, and optimizing models for TensorRT. Familiarity with NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier, Raspberry Pi, and edge devices is required. Understanding of computer vision concepts like photogrammetry, multi-view geometry, visual SLAM, detection and recognition, and 3D reconstruction is crucial. You will need to write maintainable, reusable code, leverage test-driven principles, and develop high-quality computer vision and machine learning modules. Experience with object detection, tracking, classification, recognition, scene understanding, and deep neural networks is important. Furthermore, knowledge of image classification, object detection, and semantic segmentation using deep learning algorithms is desirable. You should be able to evaluate and advise on new technologies, vendors, products, and competitors. Initiative, independence, teamwork, and hands-on technical expertise are key attributes for this role. If you are ready to contribute to cutting-edge AI solutions and drive innovation in computer vision, apply now and join our awesome squad.,

As an AI/ML Engineer at Neutrinos, you will play a crucial role in designing, developing, and deploying machine learning models to drive business outcomes. With 5 to 8 years of hands-on experience, you will utilize your expertise in Python, AutoML frameworks, image processing, and cloud-based AI services to create innovative solutions. Collaborating with cross-functional teams, you will focus on model development, integration, and optimization to deliver high-quality results aligned with business objectives. Your responsibilities will include designing, training, and deploying complex machine learning models for predictive analytics, object detection, and classification. Leveraging AI frameworks like Python, TensorFlow, and PyTorch, you will build and optimize machine learning pipelines. You will also work on implementing and customizing AutoML frameworks to automate model building and enhance efficiency. Utilizing cloud-based AI platforms such as Google Vision, Azure Document Vision, and AWS Textract, you will handle tasks like image recognition and document processing. In addition, you will develop and integrate AI models with REST APIs using NodeJS and Python to ensure efficient communication between systems and scalable deployment. Your role will involve implementing advanced object detection algorithms for various image-based applications and continuously optimizing model performance for accuracy, latency, and scalability in production environments. Utilizing Git for version control and CI/CD practices, you will ensure seamless updates and rollouts of AI solutions. Preferred skills for this role include familiarity with cloud infrastructure such as AWS, Azure, or Google Cloud, experience with Docker and Kubernetes for containerized AI solutions, and knowledge of Machine Learning Operations (MLOps) for automating ML lifecycle processes. A Bachelors or Masters degree in Computer Science, Machine Learning, AI, or a related field, along with 5 to 8 years of experience in AI/ML engineering, will be essential qualifications for this position. Join Neutrinos to be part of a dynamic team at the forefront of AI and machine learning innovation. You will have the opportunity to work on challenging projects with real-world impact, competitive salary and benefits, and experience a collaborative and growth-focused environment in Bangalore.,

Location - Noida Sector 16 Job Description Looking for engineers with knowledge of Artificial Intelligence, Machine Learning, and Deep Learning algorithms. Knowledge of programming language Python. Knowledge of Machine Learning/Deep Learning libraries like TensorFlow, Keras, NumPy, Pandas, scikit-learn, SciPy, etc. Basic understanding of computer vision concepts and libraries. Strong knowledge of data structures and algorithms. Strong mathematical skills. Excellent analytical and problem-solving skills. Experience with Generative AI (GenAI) and the latest developments in AI to support GIS functionality. Proficiency in Python scripting. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques to find coarse features in images and create multiple segments. Proven experience with GenAI and Large Language Models (LLMs), including speech-to-text models and multi-modal input models. Requirements Good programming skills in Python. Knowledge of TensorFlow, Theano, OpenCV, Keras, NumPy, etc. Experience with Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Knowledge of developing and training deep neural networks. Knowledge of writing machine learning algorithms: supervised, unsupervised classification, and regression. Good communication and analytical skills. Proven experience with GenAI and LLMs. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques for image processing. Experience with speech-to-text models and multi-modal input models.