Computer Vision Research Engineer (Remote - Romania) at Altametrics

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

60000.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, TensorFlow, PyTorch, Object Recognition, Occlusion Handling, 3D Modeling, CNNs, NeRF, 3D Reconstruction, Image Processing, Segmentation, Python, C++, OpenCV, Transformers

Industry

Software Development

Description

Job Description: We are looking for a talented Computer Vision Research Engineer to join our team and contribute to the development of innovative AI-powered solutions. In this role, you will work on sophisticated applications requiring state-of-the-art expertise in machine vision, deep learning, and neural network architectures. This position offers an opportunity to work on challenging problems involving object recognition, occlusion handling, and 3D modeling in real-world scenarios. About Us: Altametrics provides a comprehensive product line of enterprise software and professional services catering to the needs of various departments and executive management of corporate clients. Our cloud-based software solutions are designed for quick deployment, scalability, reliability, and availability. We offer industry-leading consulting, professional services, development, engineering, training, and support. Responsibilities: Design and implement advanced computer vision and machine learning models tailored to real-world challenges. Build and optimize pipelines for object detection, classification, and occlusion prediction using frameworks like TensorFlow and PyTorch. Research and apply cutting-edge techniques such as Convolutional Neural Networks (CNNs), Neural Radiance Fields (NeRF), and 3D reconstruction. Handle image processing, segmentation, and feature extraction for large datasets. Collaborate with cross-functional teams to integrate computer vision models into scalable applications. Continuously improve models through iterative testing and refinement based on user feedback and performance metrics. Document and present findings, methodologies, and recommendations effectively to team members and stakeholders. Requirements: Educational Background: Bachelors, Masters, or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Data Science, or related fields. Experience: Minimum 3 years of professional experience in computer vision or machine learning. Research: First-author publications in high-impact academic or industry journals. Technical Skills: Proficiency in TensorFlow, Keras, and PyTorch. Strong understanding of deep learning architectures, including CNNs and transformers. Familiarity with occlusion handling techniques. Experience in developing and deploying machine learning models in real-world applications. Proficiency in programming languages like Python and C++. Solid grasp of image processing libraries such as OpenCV. Preferred Skills: Experience with object detection models (YOLO, Faster R-CNN) and real-time inference optimization. Salary: $50-60k USD annual

Responsibilities

Design and implement advanced computer vision and machine learning models to address real-world challenges, focusing on building and optimizing pipelines for object detection, classification, and occlusion prediction using major deep learning frameworks. Research and apply cutting-edge techniques like CNNs, NeRF, and 3D reconstruction while collaborating on integrating these models into scalable applications.