Computer Vision Engineer
at Twtindia
Remote, remote, mid, contract, 3–10 years
seen 3d ago
- C
- Calculus
- TensorRT
- GPU parallel architecture
- AWS RDS
- PyTorch
- Terraform
- Docker
- AWS EC2
- Python
- TensorFlow
- DeepStream
- AWS Lambda
- C++
- AR/VR
- NVIDIA IGX
- 3D vision
- OpenGL
- NVIDIA Jetson
- Objective C
- NVIDIA Xavier
- Statistics
- CUDA
- OpenCV
- AWS SageMaker
- Linear algebra
- TAO Toolkit
- AWS S3
- CI/CD
- Swift
- Kubernetes
About the role
As a Computer Vision Engineer, you’ll be responsible for designing and deploying advanced algorithms in computer vision, image processing, and deep learning. Collaborating with our 3D development team, you’ll build state-of-the-art models to enhance our applications in 3D reconstruction, object detection, and AR/MR/XR.
What you would do
● Algorithm Development: Design and optimize computer vision and deep learning algorithms for 3D applications. ● Model Deployment: Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements ● Research and Innovation: Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision. ● Cross-Functional Collaboration: Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals. Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints ● Documentation: Maintain code quality and document solutions for easy reference.
What they are looking for
● Experience: 3 or 3 to 8+ years in computer vision, deep learning, and AI. ● Education: Bachelor’s or Master’s in Computer Science, Data Science, Electrical Engineering, or related field. ● Technical Skills: ● Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV. ● Understanding about depth and breadth of computer vision and deep learning algorithms.Knowledge of algorithms and data structures relevant to computer vision. ● Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier. (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)● Concepts of parallel architecture on GPU is an added advantage. ● Knowledge in linear algebra, calculus, and statistics ● Preferred: Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)
Job Category: Computer vision engineer
Job Type: Contract (6–12 Months)
Job Location: Remote
Read from twtindia.in, last seen 3d ago.