Computer Vision Engineer

3 weeks ago

Mumbai, India sliQue Robotics Full time

Job Title: Computer Vision Engineer (Global, Full-Time)


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


Company Description

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 DescriptionThis 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


Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.


Experience: 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.


Soft Skills: Strong analytical and problem-solving abilities, excellent communication skills, and ability to work in a multicultural environment.


Other Requirements:


Valid passport.


Willingness and ability to travel internationally for up to 6 months per year.


What We Offer


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.


Equal Opportunity Employer sliQue Robotics is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Please Note: Apply only if you are comfortable with travel requirements and a global location role.

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