Computer Vision Specialist: Global Robotics Innovation

2 days ago


Mumbai, Maharashtra, India sliQue Robotics Full time

About sliQue Robotics

sliQue Robotics is a pioneering company located in Indore, focused on revolutionizing business operations through intelligent robotic systems.

Our innovative platform, DataBarn, integrates robotics, IoT devices, data analytics, and automation to optimize company operations. By joining sliQue, you will be part of shaping the future of connected robotics and empowering businesses to operate smarter and more efficiently.

Role Overview

This is a full-time role for a Computer Vision Engineer at sliQue Robotics, with a global location requirement. The role involves developing and implementing computer vision algorithms, collaborating with international clients, and providing on-site support during deployments.

Candidates must be willing to travel internationally for up to 6 months per year.

Key Responsibilities

  • Algorithm Development: Design and implement computer vision algorithms for tasks like object detection, tracking, 3D reconstruction, and more.
  • Image Processing Expertise: Implement advanced image processing techniques such as feature detection and matching (SIFT, SURF, ORB), image segmentation (Mask R-CNN, U-Net), and optical flow.
  • Project Collaboration: Work closely with international clients and cross-functional teams to understand project requirements and deliver customized solutions.
  • 3D Vision Development: Engage in 3D vision-related tasks, including Structure from Motion (SfM), SLAM, and depth estimation using tools like Open3D and PCL.
  • Deep Learning for Vision: Develop models using CNNs, YOLO, Faster R-CNN, GANs, and Vision Transformers (ViT) to solve real-world vision challenges.
  • On-Site Support: Provide technical support and integration services during international deployments.
  • Research & Innovation: Stay updated on the latest computer vision and machine learning advancements to incorporate cutting-edge techniques into our products.
  • Performance Optimization: Enhance systems for improved accuracy, efficiency, scalability, including GPU acceleration and real-time processing.
  • Documentation: Maintain comprehensive documentation of methodologies, code, and project developments.

Qualifications

The ideal candidate should have:

  • A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Minimum of 3 years of experience in computer vision, image processing, and related fields.

Technical Skills

  • Image Processing: Feature detection, object tracking, segmentation, camera calibration, depth estimation.
  • Deep Learning: CNNs, YOLO, Faster R-CNN, Mask R-CNN, GANs, Vision Transformers, and transfer learning.
  • 3D Vision: Structure from Motion, SLAM, point cloud processing, LiDAR analysis.
  • Programming Languages: Python, C++, MATLAB (for prototyping and research).
  • Libraries and Frameworks: OpenCV, PyTorch, TensorFlow/Keras, NumPy, SciPy, Scikit-image, Dlib.
  • Optimization Techniques: Multithreading (OpenMP, TBB), GPU acceleration (CUDA, cuDNN), real-time processing.

Benefits

  • Competitive Compensation: Attractive salary with performance-based bonuses.
  • Benefits Package: Health insurance, retirement plans, and paid time off.
  • Professional Growth: Opportunities for training, conferences, and career advancement.
  • Global Experience: Exposure to international projects and diverse cultures.
  • Innovative Environment: Work with a team of experts on state-of-the-art technologies.

Estimated Salary: $120,000 - $180,000 per year, depending on experience and qualifications.



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