image processing engineer

Softscholars Technologies

Position: R&amp;D Software Engineer (MATLAB/Python) Location: Gandhipuram, Coimbatore (In-Office Only) Experience: 0&ndash;1 Year (Freshers with strong fundamentals encouraged) Education: B.E/B.Tech/M.E/M.TechInterview Process<ul><li>Technical Assessment</li><li>Direct Face-to-Face Interview</li></ul>(No online interviews)About the RoleWe are hiring motivated engineers who excel in problem-solving, coding, and applied research. This role focuses on MATLAB/Python development, algorithm implementation, and supporting R&amp;D teams working on AI/ML, Image Processing, Data Mining, and IEEE-based projects.If you enjoy learning new technologies and building research-oriented applications, this opportunity gives strong exposure and structured growth.Key Responsibilities<ul><li>Develop efficient, reusable code in MATLAB, and Python</li><li>Implement algorithms and simulations based on IEEE and research methodologies</li><li>Assist the R&amp;D team in building prototypes and technical solutions</li><li>Prepare research codes for PhD engineering projects</li><li>Research emerging tools, models, and frameworks as required</li></ul>Required Skills<ul><li>Strong knowledge in MATLAB or Python</li><li>Basics of ML/AI, Image Processing, Data Mining, or Signal/Communication Systems</li><li>Java exposure is an added advantage</li><li>Good communication, analytical thinking, and a willingness to learn independently</li><li>Real-time course certifications are a plus</li></ul>⭐ Training &amp; Commitment Policy<ul><li>Training Duration: 3 months (structured technical training will be given)</li><li>Commitment Period: 2 years after training, due to long-term R&amp;D project requirements</li><li>Document Requirement: Original certificates to be submitted for the duration of the agreement (standard policy).</li></ul>This policy ensures continuity and stability for project execution.Why Join Us?<ul><li>Structured training in MATLAB/Python development with AI/ML, Image Processing, and Data Mining Projects</li><li>Career growth path: Trainee &rarr; Software Engineer &rarr; Senior Software Engineer</li><li>Performance-based increments &amp; incentives</li><li>Work on impactful real-time academic &amp; industry research projects</li><li>Mentorship from experienced researchers</li></ul>How to ApplyEmail: softscholarshrd@gmail.com Walk-In: Monday to Friday, 10:00 AM &ndash; 12:00 PM Location: Gandhipuram, CoimbatoreJob Type: Full-timePay: ₹10,000.00 - ₹15,000.00 per monthAbility to commute/relocate:<ul><li>Gandhipuram, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Are you agreeing to the 2 years commitment with the company?</li><li>What is your expert Language? PYTHON OR MATLAB</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Language:<ul><li>Tamil and English (Required)</li></ul>Work Location: In person

R&D Software Engineer (MATLAB/Python)

10xengineers

FPGA Design Engineer &ndash; Imaging SystemsExperience Level: 3+ years Location: Lahore, on-site Job Type: Full-TimeAbout the roleWe&rsquo;re seeking an experienced FPGA Design Engineer to develop high-performance, low-latency imaging systems across various domains, including broadcast video, medical imaging, and machine vision.The ideal candidate brings deep expertise in Xilinx and Intel/Altera FPGAs, strong RTL development, and solid experience with both bare-metal firmware and Linux-based embedded systems.What You&rsquo;ll Do<ul><li>Develop and optimize FPGA designs for image acquisition, video processing, and sensor interfacing.</li><li>Implement RTL (Verilog/VHDL/SystemVerilog) using Vivado/Vitis (Xilinx) and Quartus Prime (Intel).</li><li>Integrate high-speed interfaces: MIPI CSI, HDMI, LVDS, SDI, PCIe, etc.</li><li>Design AXI/Avalon-based systems and real-time video pipelines.</li><li>Build and customize PetaLinux environments (BSP, kernel, U-Boot, device tree).</li><li>Interface with ARM/MicroBlaze/Nios II processors in SoC designs.</li><li>Collaborate with software, hardware, and systems teams for full system integration and validation.</li></ul>What We&rsquo;re Looking For<ul><li>3+ years in FPGA development for imaging or embedded systems.</li><li>Hands-on with Xilinx (Zynq, Ultrascale+) and Intel (Cyclone, Arria) platforms.</li><li>Strong RTL, timing closure, and hardware debugging (ILA, SignalTap, ModelSim).</li><li>Experience with PetaLinux, bare-metal firmware, and embedded Linux integration.</li><li>Scripting and automation (TCL, Python, Bash) for build flows and testing.</li><li>Familiarity with real-time constraints and image processing pipelines.</li></ul>Culture and Core Value TraitsExceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment with existing and new algorithms are necessary to excel in this role.<ul><li>Self-driven and self-starter, in addition to excellent communication skills.</li><li>Great at thinking outside the box and have an aptitude for innovation and problem solving.</li><li>Interact appropriately with others to maintain a positive and productive work environment.</li><li>Always willing to explore the other side of fear, be challenged, and crave cutting edge technologies.</li><li>Maintain a regular and predictable work schedule.</li></ul>Job Type: Full-timeWork Location: In person

FPGA Design Engineer – Imaging 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

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

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

Research Scientist Intern, Computational Photography & Computer Vision (PhD)

GE HealthCare

<div>
 
 
 
 
 Job Description Summary
 
 
 
 
 
 
 These roles will be based in one of the following locations: Istanbul(either Asia or Europe), Izmir, Antalya or Bursa.
 
 
 Advanced Field Engineer will be responsible for developing and maintaining strong interpersonal relationships with customer representatives, ensuring Customer Satisfaction and maintaining all equipment models for Imaging.
 
 
 GE Healthcare is a leading global medical technology and digital solutions innovator with over 100 years of healthcare industry experience and around 50,000 employees globally. We enable clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by our Edison intelligence platform. We operate at the center of an ecosystem working toward precision health - digitizing healthcare, helping drive productivity and improving outcomes for patients, providers, health systems and researchers around the world.
 
 
 
 
 Job Description
 
 
 
 
 
 These roles will be based in one of the following locations: Istanbul(either Asia or Europe), Izmir, Antalya or Bursa.
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Key Responsibilities/essential functions include:
 </li>
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 Technical: Maintains all models specific to a modality in the assigned area.
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 Advanced, total system-level troubleshooting, installation, maintenance and service repair needs on designated equipment.
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 Customer satisfaction: Daily interface with doctors and technicians on equipment status issues.
 </li>
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 Acts to ensure satisfaction to primary customers.
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 Assists in Account Sales visits; helps train others where necessary; identify Sales opportunities and communicate to account team.
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 Business growth: Assists in the growth and direction of business in his/her geographic area.
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 Productivity: Responsible for Warranty and PMS contract cost control.
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 Administration: Responsibly completes all administration tasks on time. Ensures timely completion of FMIs and PMS inspections documentation for assigned accounts.
 </li>
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 Installation: Plays a leading role in complex and multifunctional rooms. Shares best practices.
 </li>
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 Maintain effective quality systems and programs compliant with ISO 9001 standard, according to the GE Service Quality Policy Statement.
 </li>
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 Quality Specific Goals:
 </li>
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 Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position
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 Complete all planned Quality &amp; Compliance training within the defined deadlines
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 Identify and report any and all customer quality or compliance concerns immediately to the Quality Organization
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 Identify and report any personal quality or compliance concerns immediately to the Quality Organization
 </li>
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 Ensure timely dispatch closure
 </li>
 <li>
 Ensure completion of all field modifications instructions (FMI&rsquo;s) within prescribed timeframe
 </li>
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 Participate in continuous improvement activities by identifying and appropriately escalating process and product quality gaps, providing solutions when possible
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Qualified to Degree level or equivalent knowledge or experience
 </li>
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 Technical analytical skills
 </li>
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 Solid Field Services experience in Imaging
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 4 - 6 years Field Services experience
 </li>
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 Comprehensive knowledge of a specific modality or multi-modalities
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 Sought by others for guidance and advice
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 Proficiency in English
 </li>
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 Ability to work independently with minimum direction
 </li>
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 High work standards and quality
 </li>
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 Initiative and motivation
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 Plans and organizes work effectively
 </li>
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 Excellent communications, listening and interpersonal skills
 </li>
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 Strong Customer skills; deals tactfully and effectively with differences of opinion, influences rather than directs
 
 
 </li>
 </ul>
 
 EHS Specific Goals:
 
 
 
 <ul>
 <li>
 Comply with the Environment, Health &amp; Safety (EHS) Policies and applicable laws and regulations.
 </li>
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 Complete all mandatory EHS training. Actively participate in accident &amp; incident investigation and follow up.
 </li>
 <li>
 Maintain defined levels of housekeeping &amp; ensure a clean, clear workplace and participate in EHS inspections. Identify and correct hazards and unsafe conditions.
 
 
 </li>
 </ul>
 
 EHS Specific Goals:
 
 
 
 <ul>
 <li>
 Comply with the Environment, Health &amp; Safety (EHS) Policies and applicable laws and regulations.
 </li>
 <li>
 Complete all mandatory EHS training. Actively participate in accident &amp; incident investigation and follow up.
 </li>
 <li>
 Maintain defined levels of housekeeping &amp; ensure a clean, clear workplace and participate in EHS inspections. Identify and correct hazards and unsafe conditions.
 
 
 </li>
 </ul>
 GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
 
 
 Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you&rsquo;d expect from an organization with global strength and scale, and you&rsquo;ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 Relocation Assistance Provided:
 
 No
 
 
</div>

Advanced Field Engineer, Imaging

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