computer vision engineer

Motive

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 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
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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
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 Convert state-of-the-art research prototypes into reliably working product features
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 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
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 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
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 Build automated deployment, validation, and active learning pipelines.
 
 
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 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.
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 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
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 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
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 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
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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.
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 Prior experience with Eigen library and RTOS is a strong plus
 
 
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 </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>

Computer Vision Engineer

Luxoft

Work directly with computer vision perception engineers, and camera ISP engineers.
Define the image quality requirements for customer use cases
Develop image processing algorithms to optimizing the camera image quality for performance improvement of computer vision applications
Develop custom ML models for visual recognition and training it from scratch
Quantization and pruning the ML models
Data evaluation using relevant metrics to increase the model performance
Implement computer vision/image processing algorithms in fast/optimal C++ code
Implement heuristic/math algorithms and probabilistic methods for camera AI
Research existing C++ solutions for CV logic
Develop cross platform C++ code
Cover algorithms and CV code with unitest
Ramp up on new technologies related to CV/ML/algorithms (not R&amp;D)
Integrate machine learning modules into algorithms

Lead Machine Learning, Computer Vision Software Engineer

SkyRich Tech Solutions

About the RoleWe are seeking a highly skilled Vision Engineer 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<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Robotics, or a related field.</li><li>Technical Skills:</li><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 vision).</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

Vision Engineer

IO DataLabs

IO Data Labs is hiring for a Machine Learning Engineer. we are Canada based Organization seeking for a candidate with strong technical background. Apply NowJob Title: Machine Learning EngineerLocation: RemoteTiming: 6:30pm-2:30amAbout the Role:2-3 years' experience in machine learning, deep learning, search, natural language processing, data science, or computer visionHands-on experience with Python programming.Develop and maintain machine learning models using Python.Collect and preprocess data for ML models.Train and evaluate models using Python libraries.Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements).Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning).Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn.Exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch.Good understanding of data structures and algorithms.Experience with model evaluation techniques and performance metrics.Experience with Optical Character Recognition (OCR) technologiesFamiliarity with cloud platforms and deploying models on cloud infrastructureFamiliarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus.Excellent written and verbal communication skills, demonstrating the ability to convey technical concepts clearlyExperience in the complete development and deployment lifecycle of an ML/AI projectCapacity to work independently and collaboratively in a remote environmentStrong analytical and problem-solving skills.Job Types: Full-time, PermanentPay: &#8377;300,000.00 - &#8377;600,000.00 per yearWork Location: Remote

Machine Learning Engineer

Onliest

Job Title: Machine Learning Engineer &ndash; 3D GraphicsLocation: UAE Experience: 6+ years Job Type: Full-TimeRole: We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise. In this role, you will be responsible for developing and optimizing 3D mannequin models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualization modules that enhance the user experience.Key Responsibilities:3D Mannequin Model Development:<ul><li>Design and develop 3D mannequin models using ML-based body shape estimation.</li><li>Implement pose estimation, texture mapping, and deformation models.</li><li>Use ML algorithms to adjust measurements for accurate sizing and fit.</li></ul>Machine Learning &amp; Computer Vision:<ul><li>Develop and fine-tune ML models for body shape recognition, segmentation, and fitting.</li><li>Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.</li><li>Use GANs or CNNs for realistic 3D texture generation.</li></ul>3D Graphics &amp; Visualization:<ul><li>Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.</li><li>Optimize mesh processing, lighting, and shading for real-time rendering.</li><li>Use GPU-accelerated techniques for rendering efficiency.</li></ul>Model Optimization &amp; Performance:<ul><li>Optimize inference pipelines for faster real-time rendering.</li><li>Implement multi-threading and parallel processing for high performance.</li><li>Utilize cloud infrastructure (AWS/GCP) for distributed model training and inference.</li></ul>Collaboration &amp; Documentation:<ul><li>Collaborate with UI/UX designers for seamless integration of 3D models into web and mobile apps.</li><li>Maintain detailed documentation for model architecture, training processes, and rendering techniques.</li></ul>Key Skills &amp; Qualifications:Experience:<ul><li>3&ndash;8 years in Machine Learning, Computer Vision, and 3D Graphics Development.</li></ul>Technical Skills:<ul><li>Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.</li><li>Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.</li><li>Experience with 3D model formats (GLTF, OBJ, FBX).</li><li>Familiarity with Mesh Recovery, PyMAF, and SMPL models.</li></ul>ML &amp; Data Skills:<ul><li>Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation.</li><li>Experience with 3D pose estimation and body measurement algorithms.</li></ul>Cloud &amp; Infrastructure:<ul><li>Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).</li><li>Knowledge of Docker and Kubernetes for model deployment.</li></ul>Graphics &amp; Visualization:<ul><li>Knowledge of 3D rendering engines with shader programming.</li><li>Experience in optimization techniques for rendering large 3D models.</li></ul>Soft Skills:<ul><li>Strong problem-solving skills and attention to detail.</li><li>Excellent collaboration and communication skills.</li></ul>Interested candidates can send their updated resume to: careers@onliestworld.comJob Type: Full-time

ML Engineer -3D Graphic

WebDigitalSphere

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Lead AI Engineer

HMS-Hussain Metal Stone

Role OverviewWe&rsquo;re hiring an AI and Video Analytics Engineer with 3&ndash;4 years of hands-on experience in computer vision and deep learning. You&rsquo;ll design and deploy vision-based systems that analyze real-time video feeds &mdash; detecting objects, identifying patterns, and delivering actionable intelligence.This role combines algorithmic design, real-time processing, and system-level engineering &mdash; perfect for someone who&rsquo;s ready to go from &ldquo;implementer&rdquo; to &ldquo;solution owner.&rdquo;Key Responsibilities<ul><li>Develop and deploy AI-powered video analytics models for detection, classification, and event recognition.</li><li>Build scalable video processing pipelines using OpenCV, PyTorch, TensorFlow, and DeepStream.</li><li>Work on edge deployments (Jetson, Raspberry Pi, etc.) and optimize inference for low-latency environments.</li><li>Integrate models into production systems using GStreamer, Flask/FastAPI, or custom C++ backends.</li><li>Collaborate with backend and cloud teams for API integrations and real-time dashboards.</li><li>Participate in model tuning, dataset curation, and annotation workflows.</li><li>Stay updated with emerging research in vision transformers (ViT), multi-object tracking, and multimodal AI.</li></ul>Requirements<ul><li>3&ndash;4 years of experience in AI / Computer Vision / Deep Learning.</li><li>Strong command of Python and one or more frameworks like PyTorch, TensorFlow, or Keras.</li><li>Experience with OpenCV, NumPy, and video stream processing.</li><li>Practical exposure to DeepStream, TensorRT, or GStreamer is highly preferred.</li><li>Working knowledge of Docker, REST APIs, and cloud environments (AWS / GCP / Azure).</li><li>Understanding of object tracking (SORT, DeepSORT) and action recognition.</li><li>Good grasp of performance optimization and GPU acceleration.</li><li>Bonus points for:</li><li>Experience with Re-ID, heatmaps, or anomaly detection.</li><li>Familiarity with speech-to-video synchronization or audio analytics.</li></ul>*What We Offer<ul><li>Competitive market-based salary.</li><li>Cutting-edge AI projects with measurable, real-world deployment.</li><li>Collaborative R&amp;D culture &mdash; not bureaucracy.</li><li>Growth pathways into Lead AI Engineer / R&amp;D Specialist roles.</li></ul>Job Type: Full-timeExperience:<ul><li>Video Analytics: 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

AI and Video Analytics Engineer

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