computer vision engineer

Redlinux

Freelancing OpportunityJob Title: Computer Vision / ML Engineer Experience: 3&ndash;7 yearsRole SummaryWe are seeking a skilled Computer Vision &amp; Machine Learning Engineer to design, develop, and deploy end-to-end vision-based solutions. The ideal candidate will have strong experience in model training/fine-tuning, pipeline management, and cloud deployment using Azure.Key Responsibilities<ul><li>Develop, train, and fine-tune deep learning models using TensorFlow, PyTorch, and YOLO.</li><li>Implement computer vision solutions for object detection, classification, and segmentation using OpenCV.</li><li>Build scalable ML training and inference pipelines using DVC and MLflow.</li><li>Manage data versioning, experiment tracking, and model registry.</li><li>Deploy ML models to production on Azure cloud environments.</li><li>Collaborate with cross-functional teams to translate business needs into effective ML solutions.</li><li>Optimize model performance, latency, and accuracy through iterative experimentation.</li><li>Maintain code quality using Git and follow CI/CD best practices.</li><li>Document workflows, experiments, performance metrics, and model iterations.</li></ul>Required Skills<ul><li>Strong expertise in TensorFlow and PyTorch.</li><li>Hands-on experience with YOLO (v5/v7/v8) model training &amp; fine-tuning.</li><li>Proficiency with OpenCV for image/video processing.</li><li>Knowledge of ML experiment tracking tools like MLflow.</li><li>Experience with DVC (Data Version Control) for pipeline/data management.</li><li>Good understanding of Azure cloud services for ML deployment.</li><li>Strong Git workflow knowledge.</li><li>Familiarity with end-to-end ML/vision pipeline design and orchestration.</li><li>Solid understanding of Computer Vision &amp; deep learning concepts.</li></ul>Nice to Have<ul><li>Experience with ONNX, TensorRT, or model quantization/optimization.</li><li>Understanding of MLOps concepts.</li><li>Exposure to Kubernetes or Docker.</li><li>Knowledge of monitoring &amp; logging model performance.</li></ul>Job Types: Part-time, Freelance Contract length: 12 monthsPay: &#8377;30,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Experience:<ul><li>total work: 7 years (Required)</li></ul>Shift availability:<ul><li>Night Shift (Required)</li><li>Overnight Shift (Required)</li></ul>Work Location: Remote

Computer Vision Engineer

SkyRich Tech Solutions

About the Role:We are seeking a highly skilled 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>Preprocess 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

Tech Electronics Company

Location: Englewood, CO Employment Type: Full-Time Department: Engineering / AI &amp; Machine LearningAbout the RoleWe&rsquo;re looking for a highly skilled Computer Vision Engineer to join our team and help build next-generation visual intelligence solutions. You will develop, optimize, and deploy algorithms that enable machines to understand visual data at scale. This role is ideal for someone who enjoys pushing the boundaries of deep learning, real-time inference, and perception systems.What You&rsquo;ll Do<ul><li>Design, implement, and optimize computer vision algorithms for detection, tracking, segmentation, recognition, and 3D understanding.</li><li>Build and train deep learning models using frameworks such as PyTorch, TensorFlow, or ONNX.</li><li>Work with large-scale image/video datasets, improving data pipelines and annotation quality.</li><li>Deploy models into production on edge devices, cloud environments, or embedded systems.</li><li>Collaborate with cross-functional teams including software engineering, robotics, and product development.</li><li>Perform benchmarking, model optimization, and performance tuning (e.g., TensorRT, quantization, pruning).</li><li>Stay up to date with research and evaluate state-of-the-art vision techniques for real-world applications.</li></ul>What You Bring<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, Machine Learning, or related field (PhD is a plus).</li><li>Strong foundation in computer vision, image processing, and deep learning.</li><li>Hands-on experience with CNNs, transformers, generative models, and modern architectures.</li><li>Proficiency in Python, C++, and experience with GPU computing (CUDA preferred).</li><li>Familiarity with CV libraries such as OpenCV, Open3D, MMDetection, Detectron2, or similar.</li><li>Experience in training and deploying models on real-world systems.</li><li>Excellent problem-solving skills and the ability to translate research into production-ready code.</li></ul>Nice-to-Have Skills<ul><li>Experience with SLAM, 3D reconstruction, or LiDAR perception.</li><li>Background in robotics, autonomous systems, or embedded platforms (Jetson, ARM).</li><li>Knowledge of MLOps tools for model versioning, monitoring, and deployment.</li><li>Contributions to open-source projects or published research.</li></ul>Why Join Us<ul><li>Work on cutting-edge computer vision applications that make a real impact.</li><li>Opportunity to shape product vision and contribute to core AI architecture.</li><li>Collaborative and innovative team culture.</li><li>Competitive salary, based on experience.</li></ul>Job Type: Full-timePay: $122,000.00 - $160,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: In person

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>
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 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>
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 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
 </li>
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 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>

HR Ways

About the company: California-based company that provides AI-powered traffic safety solutions, including integrated platforms with solar-powered cameras that detect traffic violations like stop-sign running, speeding, and distracted driving.Job Description:We are seeking a Senior Computer Vision Engineer to join our innovative team in Pakistan, driving the development of AI-powered traffic safety systems. This role is designed for a versatile, full-stack computer vision expert who can architect, build, and deploy robust custom computer vision algorithms for real-time traffic violation detection, while also managing end-to-end MLOps workflows. You will play a pivotal role in designing and optimizing algorithms for our solar-powered cameras, ensuring seamless integration with production systems. This is an ideal opportunity for someone passionate about AI, computer vision, and road safety, with strong expertise in both algorithm development and scalable deployment.What Youll Do<ul><li>Architect and build high-performance computer vision algorithms for real-time detection of traffic violations (e.g., speeding, lane violations, stop sign running) and scene analysis, ensuring accuracy and low latency.</li><li>Develop and optimize end-to-end computer vision pipelines, from image preprocessing and model training to inference and deployment, using frameworks like OpenCV, TensorFlow, PyTorch, or ONNX.</li><li>Lead MLOps efforts, including model deployment, versioning, monitoring, and performance optimization, using tools like Docker, Kubernetes, and CI/CD pipelines.</li><li>Collaborate with hardware engineers, backend developers, and data scientists to integrate computer vision models with IoT camera systems and cloud-based infrastructure.</li><li>Design and implement scalable data preprocessing and annotation workflows to ensure high-quality datasets for training robust vision models.</li><li>Mentor junior engineers, conduct code reviews, and enforce best practices for building maintainable, high-performance AI systems.</li><li>Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability and performance.</li><li>Contribute to system architecture decisions, balancing trade-offs between accuracy, speed, and resource constraints for real-time applications.</li></ul>What Were Looking For<ul><li>5+ years of experience in computer vision or related fields, with a proven track record of building and deploying algorithms for real-time applications (e.g., object detection, tracking, or segmentation).</li><li>Expert proficiency in Python and computer vision/ML frameworks (e.g., OpenCV, TensorFlow, PyTorch, YOLO, Detectron2).</li><li>Strong expertise in designing and optimizing real-time computer vision algorithms, with a focus on performance in resource-constrained environments.</li><li>Hands-on experience with MLOps practices, including model deployment, containerization (Docker), orchestration (Kubernetes), and CI/CD pipeline development.</li><li>Deep understanding of machine learning and deep learning concepts, including CNNs, transformers, and optimization techniques.</li><li>Proficiency with version control systems (e.g., Git) and software engineering best practices.</li><li>Ability to lead complex projects, solve technical challenges, and collaborate effectively in a fast-paced, mission-driven environment.</li><li>Experience with cloud platforms (e.g., AWS, GCP, Azure) for scalable model deployment and data processing.</li><li>Willingness to participate in occasional on-call support for mission-critical systems.</li></ul>Bonus Points<ul><li>Experience with real-time data processing, edge computing, or IoT systems, particularly for camera-based applications.</li><li>Familiarity with advanced computer vision techniques, such as multi-object tracking, 3D reconstruction, or low-light image processing.</li><li>Background in traffic safety systems, smart city technologies, or autonomous vehicle perception systems.</li><li>Expertise in managing large-scale image or video datasets, including data annotation pipelines.</li><li>Knowledge of hardware optimization for computer vision (e.g., NVIDIA Jetson, TensorRT, or embedded systems).</li><li>Contributions to open-source computer vision or ML Ops projects.</li></ul>Why this company:<ul><li>Your work will help save lives and improve road safety.</li><li>Series A of $22M led by Bain Capital.</li><li>Fast-moving startup environment with meaningful ownership.</li><li>Competitive compensation and early-stage equity.</li></ul>Other Details:Experience: 5+ years &#65279;Location: Islamabad/ Lahore (on-site)Apply at jobs@hrways.co (not com)About HR Ways: &quot;HR Ways is an award-winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide, ranging from the world's biggest SaaS Companies to the most competitive Startups. We have entities in Dubai, Canada, the US, the UK, Pakistan, India, Saudi Arabia, Portugal, Brazil, and other parts of the world. Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.&quot;Job Type: Full-timeWork Location: In person

Senior Computer Vision Engineer

Axix Technologies

Position OverviewWe are looking for an AI &amp; Computer Vision Engineer with strong hands-on experience in building and deploying real-time AI systems. You&rsquo;ll work on production-grade solutions that use facial recognition, LLMs, and data-driven automation&mdash;not just research or prototypes.This is a fast-paced, product-driven environment, ideal for engineers who learn by building and enjoy solving challenging, real-world problems.Key Responsibilities<ul><li>Develop and deploy machine learning and computer vision pipelines for real-time use cases</li><li>Build and optimize systems using Face Recognition, WebRTC, and LLM frameworks</li><li>Integrate scalable microservices using Docker, Kubernetes, and Kafka</li><li>Design and maintain modular architectures for continuous data streaming</li><li>Collaborate with cross-functional teams to ensure AI models perform in production</li><li>Participate in code reviews, testing, and performance optimization</li></ul>Required Qualifications<ul><li>BS/MS in Computer Science, Software Engineering, or Artificial Intelligence</li><li>2+ years of practical experience in ML/AI development</li><li>Proficiency in: PyTorch, TensorFlow, OpenCV, YOLOv8 / YOLOv11</li><li>Experience with backend frameworks: Django, FastAPI</li><li>Familiarity with frontend integration: React or Next. js</li><li>Strong understanding of MLOps, LangChain, and cloud deployment strategies</li></ul>Essential RequirementApplicants must have hands-on, practical experience in the technologies they mention. Only candidates who have implemented or deployed real projects using the listed tools and frameworks will be considered.How to Apply: Send your CV to careers@axixtechnologies.comContact: +92 300 1119405Work Mode: Onsite &mdash; Gulberg III, Lahore (No remote positions)Job Type: Full-timeWork Location: In person

AI & Computer Vision Engineer (Onsite — Lahore)

5+ years of experience in computer vision or related fields.Should have experience with object detection, tracking, or segmentation.Expert proficiency in Python and computer vision/ML frameworks (e.g., OpenCV, TensorFlow, PyTorch, YOLO, Detectron2)Hands-on experience with MLOps practices, containerization (Docker), orchestration (Kubernetes), etc.Experience with cloud platforms (e.g., AWS, GCP, Azure) for scalable model deployment and data processing.Islamabad and Lahore (on-site)5+ yearsJob Type: Full-timeWork Location: In person

Senior MLOps/ Computer Vision Engineer

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