computer vision engineer

Intozi Technologies Pvt Ltd

Job Title: Computer Vision Engineer Experience Level: 3&ndash;5 Years Location: GurugramJob Type: Full-time Department: Engineering / AI / R&amp;D Reports to: Lead AI Engineer / Engineering ManagerAbout the RoleWe are seeking a skilled and passionate Computer Vision Engineer with 3 to 5 years of industry experience to join our AI team. You will be responsible for designing, developing, and deploying advanced computer vision and image processing solutions across various applications. The ideal candidate has a strong foundation in machine learning and deep learning, with a proven track record of building and optimizing computer vision systems in production environments.Key Responsibilities<ul><li>Develop and implement computer vision algorithms for tasks such as object detection, segmentation, classification, tracking, and pose estimation.</li><li>Build and train deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.</li><li>Collaborate with data scientists and product teams to define system requirements and design robust, scalable solutions.</li><li>Optimize models for performance, latency, and accuracy on edge devices or in cloud environments.</li><li>Analyze large datasets of images and videos to improve algorithm performance.</li><li>Stay updated with the latest research and developments in computer vision and AI.</li><li>Contribute to code reviews, documentation, and maintain high standards of software quality.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, Robotics, or a related field.</li><li>3&ndash;5 years of hands-on experience in computer vision, machine learning, or deep learning roles.</li><li>Proficient in Python and libraries such as OpenCV, NumPy, and scikit-learn.</li><li>Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.</li><li>Solid understanding of image processing techniques, CNNs, and classical vision methods.</li><li>Experience with model deployment (e.g., ONNX, TensorRT, OpenVINO) and performance tuning.</li><li>Familiarity with version control systems (e.g., Git) and Agile/Scrum development practices.</li></ul>Preferred Qualifications<ul><li>Experience with real-time vision systems or video analytics.</li><li>Background in working with edge devices (e.g., NVIDIA Jetson, Raspberry Pi).</li><li>Knowledge of 3D vision, SLAM, or multi-view geometry is a plus.</li><li>Publications or contributions to open-source CV/ML projects.</li><li>Familiarity with MLOps tools and containerization (e.g., Docker, Kubernetes).</li></ul>What We Offer<ul><li>Competitive compensation and benefits</li><li>Opportunity to work on cutting-edge technology</li><li>Flexible work environment</li><li>Career growth and learning opportunities</li><li>Collaborative and inclusive team culture</li></ul>hr@intozi.ioJob Types: Full-time, PermanentPay: ₹50,000.00 - ₹75,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

Computer Vision Engineer

T-Tech Solutions Pvt Ltd

Position: Computer Vision Engineer Experience Required: Minimum 1 year Education: Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fieldJob OverviewWe are looking for a passionate and skilled Computer Vision Engineer with hands-on experience in object detection, image/video processing, and model deployment. The ideal candidate should be able to work with deep learning frameworks, prepare datasets, and develop real-time computer vision solutions.Required Skills Computer Vision &amp; Deep Learning<ul><li>Object detection (YOLO or similar models)</li><li>Image and video processing</li><li>OpenCV for preprocessing and augmentation</li><li>Experience with PyTorch or TensorFlow</li><li>Understanding of basic ML concepts and evaluation metrics</li><li>Strong Python skills (NumPy, Pandas, Matplotlib)</li><li>Dataset preparation &amp; labeling (CVAT, Roboflow, or similar)</li><li>Handling CCTV/RTSP live video streams</li><li>API development using FastAPI or Flask</li><li>Basic knowledge of Docker</li><li>Git version control</li><li>Experience with Jupyter Notebook</li><li>Linux basics</li></ul>Responsibilities<ul><li>Train and fine-tune computer vision models</li><li>Work with live video camera streams</li><li>Prepare and maintain datasets</li><li>Build and maintain API endpoints for model inference</li><li>Optimize models for speed and accuracy</li><li>Implement detecting, tracking &amp; analytic systems.</li><li>Collaborate with backend teams for deployment</li><li>Maintain code quality &amp; documentation</li></ul>Job Type: Full-timePay: From Rs35,000.00 per monthWork Location: In person

COMPUTER VISION ENGINEER

VIDIZMO LLC

<div>We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that&rsquo;s at the forefront of AI innovation, this is your chance to hit the ground running. 
VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance. 
Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection. 
About the Role

We are seeking an experienced Computer Vision &amp; Video Analytics Engineer with deep expertise in TensorRT optimization and GPU-accelerated inference. In this role, you will build and optimize real-time intelligent video analytics (IVA) systems by bridging cutting-edge ML models with high-performance production pipelines.

You will architect low-latency, GPU-accelerated video solutions using TensorRT, CUDA, NVIDIA DeepStream, and GStreamer, ensuring scalable, production-grade deployment across edge and cloud environments. 
Responsibilities
<ul>
<li>Architect and optimize real-time video analytics pipelines using NVIDIA DeepStream and GStreamer.</li>
<li>Lead TensorRT-based model optimization, including precision tuning (FP16/INT8), engine building, and performance benchmarking.</li>
<li>Maximize GPU throughput and minimize latency using CUDA kernels, memory optimization, and parallelization techniques.</li>
<li>Integrate computer vision models (detection, segmentation, tracking, classification) into high-performance production systems.</li>
<li>Develop clean and efficient C/C++ and Python code in Linux-based environments.</li>
<li>Troubleshoot, debug, and optimize GPU-accelerated inference pipelines.</li>
<li>Collaborate with ML, hardware, and backend engineering teams to refine and deploy end-to-end AI systems.</li>
<li>Participate in system design, code reviews, performance tuning, and optimization cycles.</li></ul> 


Requirements
<ul>
<li>Professional experience in computer vision, GPU acceleration, or high-performance computing.</li>
<li>Strong proficiency in C/C++ and Python.</li>
<li>Hands-on experience with:
<ul><li>TensorRT (model conversion, calibration, engine building, profiling)</li>
<li>CUDA programming</li>
<li>NVIDIA DeepStream SDK</li>
<li>GStreamer pipelines</li>
</ul></li><li>Strong background in CV frameworks: PyTorch, TensorFlow, ONNX, OpenCV.</li>
<li>Understanding of core CV tasks: detection, segmentation, classification, tracking, and model optimization.</li>
<li>Familiarity with Kafka, MQTT, or microservice-based architectures.</li>
<li>Excellent debugging and performance engineering skills in GPU-accelerated environments.</li>
<li>Bachelor's or Master&rsquo;s in Computer Science, Electrical Engineering, or related fields.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience with Docker, containerization, and Kubernetes.</li>
<li>Familiarity with NVIDIA Jetson, Orin, or edge AI devices.</li>
<li>Experience building custom GStreamer plugins or low-level CUDA kernels.</li>
<li>Knowledge of distributed inference or multi-GPU optimization.</li></ul> 


Essential Skills:

The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools&mdash;including mandatory use of platforms like ChatGPT&mdash;to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential. 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location) 


Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA</div>

GPU Computer Vision Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Data Scientist &ndash; Computer Vision Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dhahran, Eastern, Saudi Arabia
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 computer vision models
 
 for processing
 
 multiple real-time camera streams
 
 .
 </li>
 <li>
 Build and optimize
 
 deep learning pipelines
 
 using
 
 CNNs
 
 ,
 
 YOLO
 
 ,
 
 Auto-Encoders
 
 ,
 
 Vision-Language Models (VLMs)
 
 , and
 
 OCR models
 
 .
 </li>
 <li>
 Fine-tune and train
 
 YOLO
 
 ,
 
 VLM
 
 , and
 
 OCR models
 
 (such as
 
 PaddleOCR
 
 ) for both
 
 image and video
 
 understanding, including
 
 text detection and recognition
 
 .
 </li>
 <li>
 Collaborate with data engineering teams to develop data annotation pipelines and clean large-scale datasets.
 </li>
 <li>
 Utilize tools such as
 
 Label Studio
 
 or
 
 CVAT
 
 for annotation tasks and ensure high-quality labeled data.
 </li>
 <li>
 Deploy models using
 
 NVIDIA DeepStream
 
 ,
 
 Docker
 
 , and
 
 microservices architecture
 
 for scalable production environments.
 </li>
 <li>
 Develop APIs and backend services using
 
 FastAPI
 
 for model inference and integration.
 </li>
 <li>
 Continuously improve model performance through experimentation, evaluation, and feedback loops.
 </li>
 <li>
 Contribute to the documentation, scaling, and maintenance of vision systems in production.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with
 
 video analytics
 
 ,
 
 object detection
 
 ,
 
 tracking
 
 ,
 
 segmentation
 
 , and
 
 scene understanding
 
 .
 </li>
 <li>
 Exposure to
 
 edge computing
 
 ,
 
 GPU optimization
 
 , and
 
 model quantization
 
 for real-time deployment.
 </li>
 <li>
 Familiarity with
 
 CI/CD pipelines
 
 and MLOps practices in vision systems.
 </li>
 <li>
 Experience with
 
 large-scale vision datasets
 
 and data curation tools.
 </li>
 </ul>
 
 
 
 
 Thank you for expressing interest in this role at TCS. We will review your application and reach out to you if your profile aligns with our requirements for this opportunity.
 
 
 
 
 
 
 Application Deadline :
 
 31 -Dec-2025
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
 
 
</div>

Data Scientist – Computer Vision Engineer

Ophthalytics Inc

Salary: PKR 120,000 &ndash; 280,000 / month (based on experience/results) Shift: (First three months and then flexible timings) 6:00 PM &ndash; 3:00 AM PKT | RemoteAbout OphthalyticsOphthalytics is a fast-growing US healthcare AI startup expanding globally. Our mission is to end preventable blindness worldwide by enabling early detection of vision-threatening diseases using advanced imaging and AI.We are among a small number of companies building Explainable AI (XAI) algorithms&mdash;AI that produces clinically meaningful outputs with transparency and trust.Recognition &amp; Momentum<ul><li>Named one of Georgia&rsquo;s Top 10 Most Innovative Companies (2025)</li><li>Partnerships and collaborations with world-class research ecosystems, including Georgia Tech, and research relationships involving leading institutions such as Yale and Harvard</li><li>Rapid expansion across new regions, customers, and product capabilities</li></ul>Role SummaryWe are hiring a Computer Vision Engineer with strong deep learning expertise and proven ability to build production-ready ML systems on AWS. TensorFlow is preferred, but you should also be comfortable working with PyTorch and other modern ML frameworks as needed.This is a high-ownership, fast-paced role with significant growth potential. You will work directly with the Founder, with high visibility and real impact on product direction and execution.Key Responsibilities<ul><li>Build and improve computer vision models for:</li><li>Classification (including multi-label)</li><li>Object detection</li><li>Segmentation</li><li>Image quality assessment / quality gating</li><li>Implement and fine-tune modern deep learning architectures:</li><li>EfficientNet, ConvNeXt</li><li>Vision Transformers (ViT, Swin)</li><li>Own evaluation and reporting:</li><li>F1, AUROC, sensitivity/specificity, thresholding, error analysis, experiment tracking</li><li>Data management &amp; data engineering (required):</li><li>design/maintain dataset pipelines (ingestion, cleaning, normalization, deduplication)</li><li>dataset versioning and lineage, train/val/test split strategy</li><li>labeling workflow support, metadata management, and quality checks</li><li>build reproducible data + training pipelines with clear documentation</li><li>Build scalable training and deployment workflows on AWS</li><li>Productionize models for deployment (as needed):</li><li>TensorFlow Serving / TF-TRT / TFLite</li><li>TorchScript / ONNX (plus)</li><li>latency/throughput optimization and reliability checks</li><li>Maintain strong software engineering standards:</li><li>clean code, Git/PR workflows, documentation, and unit/integration testing</li></ul>Required Qualifications<ul><li>3+ years of hands-on experience in computer vision / deep learning (or equivalent portfolio)</li><li>TensorFlow 2.x / Keras preferred, plus working knowledge of PyTorch and/or other ML frameworks</li><li>Strong Python skills</li><li>Strong grasp of CV modeling and training best practices (losses, augmentation, imbalance handling)</li><li>Strong evaluation experience (F1, AUROC, sensitivity/specificity, calibration, error analysis)</li><li>AWS is required: S3, EC2, IAM, CloudWatch (minimum); experience running ML workloads on AWS</li><li>Strong knowledge of data management and data engineering for ML pipelines and large datasets</li><li>Strong software development best practices (testing, code reviews, maintainable architecture, Git)</li></ul>Preferred Qualifications<ul><li>AWS SageMaker, ECR, ECS/EKS, Step Functions, Terraform/IaC</li><li>MLOps experience: experiment tracking, model registry, drift monitoring</li><li>Explainability methods: Grad-CAM / saliency / attention visualization</li><li>Medical imaging familiarity (bonus): DICOM/DICOMWeb, clinical workflow exposure</li></ul>Why Join Ophthalytics<ul><li>High-impact mission: your work supports early detection and prevention of blindness globally</li><li>Fast-paced environment: high ownership, rapid iteration, real production outcomes</li><li>Direct access to leadership: work directly with the Founder and influence priorities</li><li>Huge growth potential: opportunity to grow into senior/lead roles as the team scales</li><li>World-class ecosystem: collaborations and partnerships connected to leading research institutions and innovation hubs</li></ul>How to ApplyPlease send:<ul><li>Resume to awais@ophthalytics.com</li><li>Email Subject: CV Engineer</li><li>Answer: your strongest area (classification/detection/segmentation), and highlight one production deployment you&rsquo;ve delivered</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs250,000.00 per monthWork Location: Hybrid remote in Lahore

Computer Vision Engineer (TensorFlow Preferred) — Full-Time — Remote (Pakistan) | Night Shift

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

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

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