computer vision engineer

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>As a Computer Vision Engineer Developer you will contribute to the development and maintenance of AI pipelines addressing key problems such as object detection item tracking recognition and counting</li>
<li>Working under the guidance of senior engineers and data scientists you ll assist in implementing deep learning models preparing datasets and validating performance metrics in real world scenarios</li>
<li>This is an ideal role for early career AI professionals who are passionate about CV and eager to grow through exposure to synthetic data foundational models and production grade systems</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Assist in building and testing CV models for detection tracking classification tasks and latest foundation and VLM models</li>
<li>Prepare and annotate image video datasets support data ingestion and cleaning pipelines</li>
<li>Contribute to writing and debugging training scripts model loaders and preprocessing functions</li>
<li>Run evaluation jobs and generate performance reports using tools like TensorBoard or custom scripts</li>
<li>Support error analysis by identifying model weaknesses across edge cases</li>
<li>Collaborate with senior engineers on integrating models into scalable inference pipelines</li>
<li>Help visualize model outputs draw bounding boxes heatmaps or segmentation masks for explainability</li>
<li>Document experiments and code for reproducibility and knowledge sharing</li>
<li>Used OpenCV MediaPipe and scikit image for preprocessing motion analysis and visual overlays</li>
<li>Integrated DL models with post processing logic e</li>
<li>g</li>
<li>NMS temporal smoothing event triggering</li>
<li>Ensured low latency inference by profiling and tuning frame wise preprocessing</li>
<li>Supported integration of RTSP video feeds and video decoders in test pipelines</li>
<li>point cloud ingestion and processing Open3D PCL calibration registration ICP FGR 3D detection segmentation with sparse CNNs PointNet and RGB LiDAR IMU fusion</li> 
</ul> 
<h2 class="jobSectionHeader">Technical Requirements:</h2> 
<ul>
<li>Good Python skills and working knowledge of PyTorch or TensorFlow</li>
<li>Familiarity with image processing libraries e</li>
<li>g</li>
<li>OpenCV PIL and dataset tools e</li>
<li>g</li>
<li>COCO format YOLO datasets</li>
<li>Eagerness to learn take feedback and contribute in collaborative development environments</li>
<li>Exposure to object detection tracking projects academic hackathons or prior work</li></ul> 
<h2 class="jobSectionHeader">
Additional Responsibilities:</h2> 
<ul>
<li>Basic understanding of synthetic data or 3D asset usage in training pipelines</li>
<li>Familiarity with Git Linux command line and Jupyter Notebooks</li>
<li>Interest in building a career in computer vision and AI for real world automation</li>
<li>Bachelor s degree in Computer Science Data Science or a related technical field</li>
<li>1 3 years of experience or strong internship projects in computer vision or ML model development</li></ul> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Technology-&gt;Machine Learning-&gt;Python,Technology-&gt;Artificial Intelligence-&gt;Computer Vision,Technology-&gt;Cloud Platform-&gt;Azure AI Services-&gt;Computer Vision with Azure</div>

Computer Vision Engineer

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world&rsquo;s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
 
 
 You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Improve the performance of our models and algorithms already in production
 </li>
 <li>
 Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
 </li>
 <li>
 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
 </li>
 <li>
 Convert state-of-the-art research prototypes into reliably working product features
 </li>
 <li>
 Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
 </li>
 <li>
 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
 </li>
 <li>
 Build automated deployment, validation, and active learning pipelines.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
 </li>
 <li>
 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
 </li>
 <li>
 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
 </li>
 <li>
 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
 </li>
 <li>
 Strong experience in Python or C++
 </li>
 <li>
 Hands-on experience in building embedded algorithms and applications
 </li>
 <li>
 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
 <li>
 Prior experience with Eigen library and RTOS is a strong plus
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

SkyRich Tech Solutions

About the Role:We are seeking a highly skilled Senior Computer Vision Engineer with 2&ndash;5 years of experience to join our team and develop state-of-the-art computer vision solutions. The ideal candidate will be responsible for designing, developing, and deploying machine vision algorithms to solve real-world problems in areas such as object detection, tracking, recognition, and image/video analytics.You will work closely with data scientists, ML engineers, and software developers to bring innovative computer vision applications to production.Key Responsibilities:<ul><li>Design and implement computer vision algorithms for image and video processing.</li><li>Develop models for object detection, segmentation, and classification using frameworks like OpenCV, TensorFlow, or PyTorch.</li><li>Pre-process and annotate image/video datasets for model training and evaluation.</li><li>Optimize vision models for speed, accuracy, and real-time performance (edge and cloud).</li><li>Integrate computer vision pipelines into production systems (APIs, embedded devices, or cloud services).</li><li>Collaborate with cross-functional teams (hardware, software, and product) to ensure seamless deployment.</li><li>Stay up to date with research in computer vision, deep learning, and AI technologies.</li><li>Debug, profile, and optimize code for computational efficiency.</li></ul>Required Skills &amp; Qualifications:Education:Bachelor&rsquo;s or master&rsquo;s degree in computer science, AI/ML, Robotics, or a related field.Experience:2&ndash;5 years of hands-on experience in computer vision and deep learning.Technical Skills:<ul><li>Strong proficiency in Python or C++.</li><li>Expertise in OpenCV, NumPy, and image/video processing libraries.</li><li>Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras).</li><li>Familiarity with computer vision tasks (object detection, tracking, OCR, 3D visions).</li><li>Strong understanding of linear algebra, image processing, and machine learning fundamentals.</li><li>Experience with GPU acceleration (CUDA, TensorRT) is a plus.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and deploying ML models to production is a plus.</li><li>Knowledge of version control (Git) and CI/CD practices.</li></ul>Soft Skills:<ul><li>Strong problem-solving skills and ability to work on challenging, open-ended problems.</li><li>Excellent communication skills and a collaborative mindset.</li><li>Passion for innovation and staying updated on the latest research in AI and computer vision.</li></ul>Nice-to-Have:<ul><li>Experience with edge AI deployment (NVIDIA Jetson, OpenVINO, TFLite).</li><li>Experience with 3D vision, SLAM, or AR/VR applications.</li><li>Background in robotics, autonomous systems, or video analytics.</li></ul>Compensation &amp; Benefits:<ul><li>Competitive salary and performance-based incentives.</li><li>Opportunity to work on cutting-edge AI/ML applications.</li><li>Professional development budget for conferences, research papers, and courses</li></ul>Job Type: Full-timeWork Location: In person

Senior Computer Vision Engineer

Monitize AI

<div>About Us
We are building the world&rsquo;s most valuable robotics training datasets. Our mission is to capture and process large-scale video data of human actions and environments, then deliver structured datasets to leading robotics companies.
The Role
We&rsquo;re looking for a Computer Vision &amp; Robotics Engineer to take ownership of our video data pipelines from raw uploads to structured, client-ready datasets. You&rsquo;ll work with state-of-the-art tools (classic CV models + modern vision-language models) and annotation platforms to automate, scale, and ensure quality.
What You&rsquo;ll Do<ul>
<li>
Build scalable pipelines to process and clean massive amounts of video data.</li>
<li>Automate annotation workflows using classic CV models + vision-language models (ChatGPT, Gemini, etc.) + human QA.</li>
<li>Package datasets in industry-standard formats (COCO, AVA, pose/action recognition datasets).</li>
<li>Maintain high data quality: filtering, deduplication, validation, metadata consistency.</li>
</ul>
Requirements
What We&rsquo;re Looking For<ul>
<li>
Strong Python skills (OpenCV, PyTorch/TensorFlow, NumPy/Pandas).</li>
<li>Experience with large-scale video dataset processing.</li>
<li>Familiarity with robotics training processes and models.</li>
<li>Familiarity with annotation tools (Label Studio, CVAT, Supervisely, etc.).</li>
<li>Knowledge of dataset standards used in CV/robotics (COCO, Pascal VOC, AVA).</li>
<li>Hands-on experience automating labeling and data QA.</li>
<li>Familiarity with modern Vision-Language Models (ChatGPT, Claude, Gemini, etc.) and how they can assist in labeling/annotation.</li>
</ul>
Nice-to-Have<ul>
<li>
Background in robotics, autonomous driving, computer vision, or large-scale data companies.</li>
<li>Prior startup experience (fast iteration, lean teams).</li></ul></div>

Computer Vision & Robotics Engineer

Kodifly

<div>About Kodifly: 
Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle. 
 
Job Description: 
We are looking for a Computer Vision &amp; Robotics Engineer with a focus on 3D and Spatial data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing solutions for SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and developing deep learning techniques to images, 3D &amp; spatial Data. 
 
Key Responsibilities:<ul><li>
Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.</li><li>
Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.</li><li>
Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D &amp; 3D data analysis and visualization.</li><li>
Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.</li><li>
Conduct R&amp;D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.</li><li>
Ensure the robustness and accuracy of our computer vision applications under various operational conditions</li><li>
Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.</li><li>
Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).</li><li>
Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.</li><li>
Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.</li><li>
Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.</li><li>
Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.</li></ul>
Qualifications:<ul><li>
1+ years of experience
</li><li>Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.</li><li>
Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.</li><li>
Proficiency in applying deep learning methods to point cloud data.</li><li>
Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.</li><li>
Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).</li><li>
In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.</li><li>
Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.</li><li>
Knowledge of parallel computing principles and GPU programming techniques is a plus.</li><li>
Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.</li><li>
Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.</li><li>
Experience with ROS software and methodologies.</li><li>
Proficient in programming languages such as C++, Python, or similar.</li><li>
Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.</li><li>
Excellent analytical, problem-solving, and communication skills.</li><li>
Team-oriented with an ability to work in a collaborative environment.</li></ul> 
We Offer:<ul><li>
Opportunity to work with state-of-the-art technology in a rapidly evolving field.</li><li>
A collaborative environment where innovation is encouraged and rewarded.</li><li>
Competitive salary and share options.</li><li>
Fast track internal growth &amp; promotions for top candidates.</li></ul> 
Join Us at Kodifly: If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology!</div>

<div>
 
 About Kodifly:
 
 
 
 Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle.
 
 
 
 Job Description:
 
 
 
 We are looking for a Computer Vision &amp; Robotics Engineer with a focus on 3D and Spatial data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing solutions for SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and developing deep learning techniques to images, 3D &amp; spatial Data.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.
 </li>
 <li>
 Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.
 </li>
 <li>
 Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D &amp; 3D data analysis and visualization.
 </li>
 <li>
 Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.
 </li>
 <li>
 Conduct R&amp;D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.
 </li>
 <li>
 Ensure the robustness and accuracy of our computer vision applications under various operational conditions
 </li>
 <li>
 Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.
 </li>
 <li>
 Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
 </li>
 <li>
 Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.
 </li>
 <li>
 Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.
 </li>
 <li>
 Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.
 </li>
 <li>
 Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1+ years of experience
 </li>
 <li>
 Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.
 </li>
 <li>
 Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.
 </li>
 <li>
 Proficiency in applying deep learning methods to point cloud data.
 </li>
 <li>
 Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.
 </li>
 <li>
 Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
 </li>
 <li>
 In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.
 </li>
 <li>
 Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.
 </li>
 <li>
 Knowledge of parallel computing principles and GPU programming techniques is a plus.
 </li>
 <li>
 Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.
 </li>
 <li>
 Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.
 </li>
 <li>
 Experience with ROS software and methodologies.
 </li>
 <li>
 Proficient in programming languages such as C++, Python, or similar.
 </li>
 <li>
 Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Team-oriented with an ability to work in a collaborative environment.
 
 
 </li>
 </ul>
 
 We Offer:
 
 
 
 <ul>
 <li>
 Opportunity to work with state-of-the-art technology in a rapidly evolving field.
 </li>
 <li>
 A collaborative environment where innovation is encouraged and rewarded.
 </li>
 <li>
 Competitive salary and share options.
 </li>
 <li>
 Fast track internal growth &amp; promotions for top candidates.
 
 
 </li>
 </ul>
 
 Join Us at Kodifly:
 
 If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology! 🚀
 
 
</div>

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