Experience: 1.00 + years
Salary: Confidential (based on experience)
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid ()
Placement Type: Full time Permanent Position
(*Note: This is a requirement for one of Uplers client - XenReality)
What do you need for this opportunity
Must have skills required:
Neural Networks, OpenCV, Yolo, Cnn, R-CNN, Computer Vision
XenReality is Looking for:
Computer Vision AI/ML Engineer
Location: Bangalore (Hybrid)
Type: Full-Time Role
Start Date: Immediate - 30 Days
Responsibilities __________________________________________________________
- Develop and optimise custom Convolutional Neural Networks (CNNs).
- Work on information extraction, defect detection, object detection, segmentation, 3D reconstruction AI models.
- Implement and finetune deep learning models for various visual AI applications.
- Experiment with stateoftheart computer vision architectures and contribute to researchdriven improvements.
- Optimise inference performance for edge devices (like, Raspberry Pi and other ARM computers) and cloudbased applications.
- Collaborate with the AI team on data preprocessing, augmentation and model evaluation.
Requirements ____________________________________________________________
- Pursuing or completed a Bachelor's degree in Computer Science, AI/ML, or any related engineering field.
- Strong understanding of CNNs, computer vision, and deep learning frameworks (PyTorch).
- Hands-on experience with OpenCV, NumPy, and image processing techniques.
- Familiarity with object detection (YOLO, Faster RCNN), segmentation (UNet, Mask RCNN) is a plus.
- Strong programming skills in Python, Git and ability to work with large datasets.
- Passion for AIdriven innovation and solving realworld visual AI challenges.
- 2-3 years of relevant work experience (good to have).
Skills ____________________________________________________________________
- Computer Vision, Machine Learning, Linear Algebra, Convex Optimization.
- Software: Python, Git, Docker, OpenCV, C++, Linux Based OS, AWS, GCP, Azure.
- Hardware: x86 or ARM computers with CUDA based AI training and inference.
About XenReality _________________________________________________________
At XenReality, we simplify the deployment of Vision AI technology in Businesses, making it universally accessible and transformative across industries. We target Manufacturing, Power & Utilities, Automotive, Retail and Defence Sectors for usecases such as information extraction, defect detection, object recognition, activity tracking and 3D reconstruction. We are incubated at IIMBangalore and a part of NVIDIA's Inception Program.
How to apply for this opportunity
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
