computer 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

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
 
 
 
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 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
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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>
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 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
 </li>
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 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
 </li>
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 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
 </li>
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 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
 </li>
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 Strong experience in Python or C++
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 Hands-on experience in building embedded algorithms and applications
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 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
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 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>

BARATHI COMPUTERS

Position: Computer Service Engineer Location: Salem Company: Barathi Computer Systems &ndash; HP Showroom in SalemJob Description:We are hiring a Computer Service Engineer to handle Laptop, Desktop and Printer service support at our HP Showroom in Salem. The ideal candidate should have hands-on experience in system installation, LAN networking, and troubleshooting hardware and software issues.Responsibilities:<ul><li>Installation and troubleshooting of Laptops, Desktops and printers</li><li>Server based LAN network configuration and maintenance</li><li>Software installation and OS setup</li><li>Customer site visits and service reporting</li><li>Support showroom service operations and AMC customers</li></ul>Requirements:<ul><li>Qualification: Diploma / Any Degree in Computer or Electronics</li><li>Experience: 1&ndash;2 years preferred</li><li>Must have knowledge of LAN, Server , Windows installation, and printer configuration</li><li>Should be a resident of Salem</li><li>Two-wheeler preferred for on-site service visits</li></ul>Salary: 10000 TO 15000 + IncentivesWhatsApp Resume: 97509 12007 Contact: 98427 15427 Location: Barathi Computer Systems, HP Showroom, SalemJoin our growing technical team and work with leading HP products!Job Types: Full-time, PermanentPay: &#8377;10,000.00 - &#8377;15,000.00 per monthWork Location: In person

Computer Service Engineer

Cybertron info service

We are hiring computer service engineer with below mentioned qualificationDesktop / Laptop serviceHardware installation and troubleshootingOs and other software installationNetworking knowledge ( ip configuration , crimping etc)CCTV installation ( not compulsory)Salary + TA will be providedAttractive salary packages for experienced candidatesJob Types: Full-time, PermanentPay: &#8377;15,000.00 - &#8377;25,000.00 per monthBenefits:<ul><li>Paid sick time</li></ul>Experience:<ul><li>total work: 1 year (Required)</li></ul>Work Location: In person

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

Dil Computer Solutions

To install, configure, and troubleshoot computer hardware, software, and networks, providing technical support to resolve issues for users. Key responsibilities include diagnosing and fixing hardware or software faults, managing system updates. Focuses on end-user hardware and software issues.Job Type: Full-timePay: &#8377;15,000.00 - &#8377;18,000.00 per monthWork Location: In person

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