camera systems engineer

Vermelo RPO

Job Title: Vehicle Camera & Tracking Systems FitterLocation: Tunbridge Wells - HybridWe are looking for a Vehicle Camera & Tracking Systems Fitter to join our development team in the validation and testing of the in-vehicle camera devices with our IoT platform. Reporting to the Head of QA, you'll focus on user acceptance testing of both the hardware and its performance within our end-to-end solution.This is an ideal role for a methodical and analytical thinker. You'll conduct both real-world vehicle based tests and bench testing, producing clear, accurate test reports and working closely with developers and QA analysts to identify, reproduce, and help resolve any issues.A full UK driving license is essential as part of the role involves performing test drives with installed equipment to validate data accuracy. You'll also need to be comfortable installing and removing test hardware from vehicles.Key Responsibilities:<ul><li>Perform in-vehicle and bench-based testing of hardware devices</li><li>Create and maintain formal test documentation, including test plans and reports</li><li>Collaborate with developers, product owners, and QA teams in an Agile environment</li><li>Identify, document, and track issues through to resolution</li><li>Support investigation and troubleshooting of hardware and software integration issues</li></ul>Essential Skills:<ul><li>Experience in installing and removing aftermarket electronic equipment in vehicles</li><li>Ability to document test cases and results into formal reports</li><li>Technical and analytical mindset with practical problem-solving skills</li><li>Experience in Web and device testing</li><li>Hands-on experience using electronic test equipment (e.g., DMMs, oscilloscopes, function generators)</li><li>Excellent communication skills, both written and verbal</li><li>Full UK driving license</li></ul>Desired Skills:<ul><li>Experience with Azure or any cloud platform solution</li><li>Experience in Telematics and testing of telematics device</li><li>Working knowledge of specific HW systems such as GPS, GSM, LTE, MCU's and sensors that are common electronic components making up typical camera and telematics systems</li><li>Understanding of regulatory approvals and compliance for automotive or consumer electronics</li><li>Experience with API testing and integration</li></ul>

Vehicle Camera & Tracking Systems Fitter

M/s. GCS Automation Private Ltd.,

It is a field job only and only for Mumbai and Thane regionThe main responsibility of a CCTV technician is installing and configuring all type of cameras as per the customer's requirements.CCTV &amp; IP Camera installation &amp; support along with cabling configuration of NVR &amp; DVROnce the installation process is complete, the technician then has to test the cameras, which includes ensuring the software is up-to-date, the reception quality is adequate and more.We need Engineers Technician for all CCTV Range of products.For more details please call +91 9594936799Job Types: Full-time, PermanentPay: ₹23,500.00 - ₹37,500.00 per monthBenefits:<ul><li>Commuter assistance</li><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Work Location: In person

CCTV Engineer (FIELD)

NEXA NETWORK SOLUTIONS

We are looking for a dedicated ELV Engineer to oversee the design, installation, and commissioning of low-voltage systems. The ideal candidate will have a strong technical background in security systems and ensure all projects meet Qatar&rsquo;s regulatory standards.Key Responsibilities:<ul><li>System Design: Prepare and review shop drawings, BOQs, and technical submittals for CCTV, Access Control, and Intercom systems.</li><li>Installation &amp; Supervision: Lead site teams and subcontractors during the installation of Structured Cabling, Public Address (PA/VA), and SMATV.</li><li>Testing &amp; Commissioning: Conduct final testing of integrated systems, ensuring they meet MOI-SSD (Ministry of Interior) requirements.</li><li>Maintenance: Troubleshoot and resolve hardware/software issues in existing ELV environments.</li><li>Project Documentation: Prepare progress reports, method statements, and O&amp;M manuals.</li></ul>Requirements:<ul><li>Education: Bachelor&rsquo;s Degree in Electrical/Electronics/Telecommunications Engineering.</li><li>Experience: 3&ndash;5 years of experience in the Qatar/GCC market.</li><li>Certifications: Valid UPDA/MMUP registration is highly preferred.</li><li>Technical Skills: Proficiency in AutoCAD and system integration.</li><li>Local Status: Valid Qatar ID (QID) with Transferable Visa/NOC is mandatory.</li></ul>Job Type: Full-timePay: QAR3,500.00 - QAR8,000.00 per month

ELV Engineer (CCTV & Security Systems)

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

i-MiTiGATE iNTERNATiONAL

About the Role:We are looking for an experienced and self-motivated CCTV &amp; Access Control (ACS) Maintenance Engineer to join our team in Riyadh. The successful candidate will be responsible for the installation, maintenance, and troubleshooting of a wide range of CCTV and Access Control systems across commercial and government sites.Key Responsibilities:<ul><li>Install, maintain, and troubleshoot CCTV and Access Control systems.</li><li>Perform system configuration, testing, and commissioning.</li><li>Handle structured cabling and wiring for new and existing systems.</li><li>Conduct preventive maintenance and respond to service calls.</li><li>Diagnose faults and ensure timely resolution with minimal downtime.</li><li>Maintain accurate service reports and documentation.</li><li>Ensure compliance with company safety and quality standards.</li></ul>Requirements:<ul><li>Minimum 5 years of experience in the security systems industry (CCTV &amp; ACS).</li><li>Proven experience in installation, maintenance, and troubleshooting.</li><li>Experience working in Riyadh is essential.</li><li>Must hold a valid Saudi driving license (own car is preferred).</li><li>Strong technical knowledge of CCTV systems including Hikvision, Axis, Dahua, Bosch, and Gallagher.</li><li>Familiarity with Access Control systems from Honeywell, Johnson Controls, Assa Abloy, Genetec, and Avigilon.</li><li>Milestone VMS experience is a significant advantage.</li><li>Ability to work independently and handle client interactions professionally.</li></ul>Preferred Attributes:<ul><li>Excellent problem-solving and diagnostic skills.</li><li>Strong communication and organizational abilities.</li><li>Commitment to safety, quality, and customer satisfaction.</li></ul>Job Type: Full-timePay: &#65020;8,000.00 - &#65020;12,000.00 per month

Maintenance Engineer – CCTV & Access Control Systems

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

BMC Solutions

Carpediem Studio is Hiring!Position: PCR Engineer (Audio, Video, Lighting, Broadcast &amp; Live Streaming)We&rsquo;re looking for an experienced PCR Engineer to manage and operate AVL systems, broadcast setups, and live streaming operations in a fast-paced production environment.Key Responsibilities:<ul><li>Operate and manage Production Control Room (PCR) systems</li><li>Set up and operate audio, video, and lighting equipment</li><li>Handle live streaming &amp; broadcasting on digital and satellite platforms</li><li>Coordinate camera switching, audio mixing &amp; lighting control during live events</li><li>Monitor signal flow, AV quality, and system performance</li><li>Troubleshoot issues in real time during live productions</li><li>Manage encoders, decoders, switchers, mixers &amp; control systems</li><li>Coordinate with producers, directors &amp; technical teams</li><li>Conduct post-event checks and reporting</li></ul>Requirements:<ul><li>Diploma / Bachelor&rsquo;s in Media Technology, Broadcast Engineering, or related field</li><li>2&ndash;3 years experience in PCR / Broadcast / Live Production</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs90,000.00 per monthWork Location: In person

PCR Engineer (Audio, Video, Lighting, Broadcast & Live Streaming)

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