We are seeking a highly skilled Computer Vision Engineer to join our team and work on cutting-edge projects involving computer vision algorithms on edge devices……
Object detection model: 3 years (Preferred). Ability to ship working systems independently. Build and deploy real-time computer vision systems for factory……
Develop and train computer vision models for. We are seeking a Computer Vision Engineer to design develop and deploy image and video based AI models for real……
Skills : Core computer vision skills include experience with OpenCV, NumPy, image processing, deep learning frameworks like PyTorch or TensorFlow (PyTorch……
As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized……
Build analytics-driven solutions that help improve Revenue Cycle Management outcomes and customer experience. In this role, you will design, develop, implement,……
Solid knowledge of web architectural and design patterns. Work with cross-functional teams during crisis to address and resolve complex incidents and problems……
We are looking for a Computer Vision Engineer with 3–6 years of experience to build and deploy production-grade Industrial AI systems as part of Hypervise, our……
Deep understanding of computer vision fundamentals (feature-based vision, geometric methods, multi-view geometry) and AI-based perception using PyTorch.…
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for computer vision solutions.…
Integrate computer vision solutions with imaging hardware and edge devices. Experience working with cameras, sensors, or real-time video streams.…
Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. Collaborate with cross-functional teams including……
Join us to work on innovative and cutting-edge AI solutions in a fast-growing environment. We are looking for a highly skilled Computer Vision Engineer to join……
In this role, you will own the full lifecycle of computer vision applications—from designing data pipelines and training state-of-the-art networks for OCR,……
We offer options to work flexibly, especially after successful onboarding – whether it be working remotely, flexible working hours or a combination of both.…
You will be driving our vision to achieve a frictionless onboarding experience across hundreds of different data sources, including leveraging AI to build……
Stay up to date with the latest advancements in computer vision deep learning and AI and apply this knowledge to push the boundaries of current solutions.…
Leadership:* Ability to mentor junior engineers and lead computer vision design reviews. 5–7 years of experience in computer vision and AI/ML engineering.…
If you also have exposure to NLP, that’s a plus, but the core expectation is solid computer vision expertise. Experience working with multimodal models (vision……
On a typical day, you will review and annotate AI-generated content, assess responses for correctness and clarity, identify reproducible error patterns, and……
Design, develop, and optimize computer vision models for: Stay updated with the latest research and advancements in computer vision and edge AI.…
Analyzes technical requirements of projects and determines the best technical solution for complex problems. Strong experience in image processing.…
Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions. Prior freelance/client-facing project experience is……
We are seeking a highly skilled Computer Vision Engineer to join our team and work on cutting-edge projects involving computer vision algorithms on edge devices. The ideal candidate will have experience in developing computer vision applications on edge devices such as embedded systems, IoT devices, mobile devices, and other low-power devices.
Key Responsibilities:
Develop and implement computer vision algorithms for edge devices, including object detection, recognition, tracking, and segmentation.
Optimize computer vision algorithms to run efficiently on edge devices with limited computational resources.
Design and implement software architecture for computer vision systems on edge devices.
Collaborate with hardware engineers to optimize performance and minimize power consumption.
Test and evaluate computer vision algorithms on various edge devices to ensure functionality and performance.
Stay up-to-date with the latest research and advancements in computer vision and machine learning.
Requirements:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
3+ years of experience in developing computer vision applications on edge devices.
Strong proficiency in computer vision libraries such as OpenCV, TensorFlow, and PyTorch.
Experience with low-level programming languages such as C++ and CUDA.
Familiarity with hardware design and optimization for edge devices.
Ability to work in a team environment and communicate effectively with cross-functional teams.
Prior experience of building and scaling video analytics/video intelligence platforms would be helpful.
How we work:
We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams.
We value open discussion, ownership, and a founder mindset.
We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making.
We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year.
We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor.