1157 Image Processing Jobs

You should have strong expertise in C/C++, Data Structures, LSP, LDD, Kernel Development, ARM Architecture, and Debugging with JTAG and T32 (GDB, KGDB optional). Your experience should include working on relevant projects and utilizing tools like GIT, as well as having an understanding of Jenkins. For the Audio domain, you will need knowledge in ALSA, PCM (Pulse Code Modulation Framework), Stage Freight, Audio Manager, Flinger, Audio Services, Audio HAL, and Codecs. For the Camera domain, we are seeking experienced embedded software engineers who are passionate about developing software for embedded systems. Your responsibilities will include Camera HAL3 driver development, customizing the Android framework for various mobile device form factors, designing end-to-end camera use cases and implementing features, image processing, debugging and resolving issues in the existing code base, as well as some power and performance optimization tasks. It is essential to have a strong understanding and experience in Android camera/video/audio frameworks/services, as well as proficient C & C++ programming and debugging skills. Knowledge of build systems, compilers like cmake, NDK, and Linux with cross-compilation experience is necessary. You should also have a good grasp of operating system fundamentals such as virtual memory, CPU scheduling, process states, and synchronization, along with concepts like RTOS, RAM/Cache, Interrupt handling, applied to embedded systems. Moreover, hands-on experience in Camera application development, real-time issues like memory/stack corruption, ANR, deadlocks, race conditions, and knowledge of camera design, imaging modules, subsystems pipeline, and architecture are required. Strong communication and interpersonal skills are a plus for customer-facing interactions. This is a full-time position with a day shift schedule from Monday to Friday. The work location is in person.,

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG) is responsible for creating all of KLA's metrology and inspection products. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from various markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface macro inspection that is critical for various processes. LS-SWIFT operates globally and serves a worldwide customer base. Responsibilities: - Design, develop, and implement cutting-edge deep computer vision, signal processing, machine learning, or image processing algorithms - Rapidly prototype and validate new image processing and machine learning ideas - Develop end-to-end solutions considering system, imaging pipeline, user experience, and end application requirements - Collaborate in a highly cross-functional organization for systems integration of algorithms - Write robust production-quality code - Take ownership of prototype to production of algorithms Requirements: - Strong background in signal processing, machine learning, deep learning, computer vision, and image processing - Proficiency in C/C++, Matlab, Python, and object-oriented design - Experience in design and rendering software is a plus - Knowledge of common deep learning frameworks like TensorFlow and PyTorch - Ability to formulate problems into mathematical equations - Team player with excellent written and verbal communication skills - Ability and willingness to travel worldwide to support demos and projects at customer sites Minimum Qualifications: - Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years KLA offers a competitive, family-friendly total rewards package and is proud to be an equal opportunity employer. Be cautious of potentially fraudulent job postings and recruiting activities. KLA does not ask for financial compensation for interviews or equipment, nor work with recruiters who charge such fees. If you have concerns about the legitimacy of any communication, interview, or offer, please contact talent.acquisition@kla.com for verification.,

You are a motivated and detail-oriented individual seeking an opportunity as an Entry-Level Image Data Annotation Specialist. This role is ideal for recent graduates or anyone interested in starting a career in the dynamic field of machine learning and computer vision. As an Entry-Level Image Data Annotation Specialist, you will be exposed to cutting-edge technology and have the chance to contribute to innovative projects that advance the frontiers of artificial intelligence. Your responsibilities will include learning to extract images from videos and identifying appropriate frames for annotation, tagging and annotating image data under the guidance of experienced team members, documenting annotations and insights to provide valuable information for the machine learning team, converting annotated files into text format to support the preparation of training data, collaborating with the engineering team to refine training data and assist in continuous improvement efforts, and offering insights to the machine learning team on data characteristics and nuances. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. We are specifically seeking freshers or recent graduates who possess a strong interest in machine learning, computer vision, and artificial intelligence. A basic understanding of image processing concepts and computer vision algorithms, along with coursework or projects in these areas, would be advantageous. Attention to detail, a commitment to accuracy in annotation tasks, excellent communication and teamwork skills, and the ability to quickly learn and adapt to new technologies and tools are also essential attributes for this position.,

At Murf AI, we're simplifying multimedia creation by harnessing the power of artificial intelligence. Our platform empowers users to craft high-quality voiceovers effortlessly, without the need for recording equipment. Some interesting facts about Murf AI: Customers in 100+ countries 1Mn+ registered users 6X growth in revenue in the last 12 months 120+ voices in 20+ languages offered by Murf Studio Consistently rated a Leader and Momentum Leader on G2 in the text-to-speech category in 2023 and 2022 Working on bleeding-edge research problems in synthetic speech, synthetic video, and dubbing. We are seeking a highly skilled and innovative Research Scientist specializing in Generative Video AI to join our dynamic team. As a Research Scientist, you will play a pivotal role in developing cutting-edge algorithms and models for creating synthetic videos, avatars, and lip syncing applications. Your expertise in AI, computer vision, and image processing will be instrumental in advancing our technology and pushing the boundaries of generative video AI. This is an exciting opportunity to work at the forefront of AI research and contribute to groundbreaking advancements in the field. An ideal candidate will hold a Ph.D. in AI or Computer Science with a specialization in Computer Vision, Image Processing, or related fields with 3+ years of additional relevant work experience. Roles & Responsibilities: Conduct research in the field of generative video AI, focusing on synthetic videos, avatars, and lip-syncing use-cases Develop algorithms and models based on state-of-the-art computer vision and machine learning advancements, especially in the areas of generative AI (e.g. image, video, or 3D generation) Collaborate with cross-functional teams to understand requirements, identify research problems, and propose innovative solutions Collect and curate large-scale datasets for training and evaluating video generation models Develop and optimize computational pipelines for video generation, ensuring efficiency and scalability Stay up-to-date with the latest advancements in generative video AI, attending conferences, publishing research papers, and actively contributing to the scientific community Provide technical guidance and mentorship to junior researchers and engineers Collaborate with product teams to integrate research findings into practical applications and drive commercialization efforts Contribute to patent filing and intellectual property protection activities, as applicable Skills & Qualifications: Strong background in generative models, deep learning such as GANs, NeRFs, VAEs, Diffusion Models, etc. Solid understanding of image processing and computer vision techniques in general Ability to conduct original research and first principles problem-solving Ability to collaborate effectively in a team environment and lead research initiatives Proficiency in programming using Python and either TensorFlow or PyTorch Proven publications in computer vision or artificial intelligence peer-reviewed top-tier conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.) or leading Journals (LNCS, PAMI, TOG, etc.) published by IEEE, ACM, Springer, Elsevier, etc. Experience with large-scale data collection and curation is a plus Benefits/Perks: Collaborative and stimulating work environment Opportunity to work with cutting-edge technologies and make a significant impact in the field of generative video AI Insurance/healthcare coverage as per company policy Leaves available as per company policy Why Murf.ai Murf AI is revolutionizing creative workflows for businesses through the utilization of our cutting-edge AI technology. Recognized as a consistent Leader and Momentum Leader on G2 in 2022 and 2023, we empower L&D and creative teams to evolve into dynamic creative powerhouses. With a focus on cutting-edge research and innovation, a positive work culture, and real impact in the AI-driven space, Murf.ai is one of the fastest-growing companies in the AI voice space. Join us at this pivotal moment, where your ideas matter, and your leadership can leave a lasting impact. If you're ready for a challenge and have the vision to lead from the front, Murf.ai is where your journey into the next chapter of AI innovation begins.,

As a Software Testing Engineer, you will leverage your 4+ years of experience in software testing, focusing on test automation. Your responsibilities will include designing and implementing automation tests, demonstrating a solid understanding of the Software Testing Life Cycle (STLC), and various testing methodologies. Proficiency in Advanced Python is essential, along with a strong grasp of object-oriented programming, multithreading, exception handling, and file handling. You will be involved in framework designing using OOPs techniques in Python and ensuring adherence to software development principles and best practices. Moreover, your expertise in Mobile automation using Appium for the Android platform is crucial, along with a working knowledge of Selenium. Familiarity with CI/CD tools such as Jenkins and GitLab CI for integrating automated tests is expected. Additionally, experience with version control systems like Git, OCR, image processing techniques, and automating multilingual features is highly desirable. Your role will require strong analytical skills to identify, troubleshoot, and resolve issues in software applications, as well as the ability to think critically about software quality and assess risk. Knowledge of performance testing methodologies and tools like JMeter and Gatling for load testing applications is a plus. You will be proficient in testing RESTful and SOAP APIs using tools like Postman, Requests, or Pytest. In this position, you will be responsible for developing and maintaining test plans, test cases, and test data requirements in alignment with functional specifications. You will also identify, document, and track defects, collaborating closely with development teams to ensure timely resolution. Participation in performance and load testing activities to assess application behavior under various conditions will be part of your role. Documentation plays a vital role, and maintaining clear and comprehensive documentation of testing processes, test cases, test results, and improvements is essential. Furthermore, you will have the opportunity to mentor and guide junior engineers, fostering a culture of knowledge sharing and growth. Strong teamwork skills are crucial to collaborate effectively with developers, product managers, and other QA team members. As a Software Testing Engineer, you will work in the field of Software Engineering, focusing on the development, maintenance, and optimization of software solutions/applications. You will apply scientific methods to analyze and solve software engineering problems, showcasing your expertise in research, design, development, and maintenance. Your role will involve exercising original thought and judgment, supervising the technical and administrative work of other software engineers, and building skills and expertise in the software engineering discipline. Collaboration and teamwork with other software engineers and stakeholders will be key aspects of your responsibilities.,

Qualcomm India Private Limited is looking for experienced embedded software engineers interested in developing software for mobile devices. Specifically, the position involves developing embedded software supporting Camera/Image/Video functionality across the business units. The responsibilities include Camera HAL3 driver development, strong knowledge in LA build Infrastructure, Camera end-to-end use case design and feature implementation, knowledge on Image processing, debugging and resolution with existing code base, partnering with global development teams and external customers, onsite customer support, power and performance optimization, designing and implementing component unit tests for developer validation, and ensuring backward compatibility. The ideal candidate should have a profound understanding of System-on-Chip (SoC) architecture, Camera pipeline, memory subsystem architecture. Minimum Qualifications: - Bachelor's (BE/BTech) or Master's (MS/MTech) degree in Engineering, Information Systems, Computer Science, or related field with 9+ years of experience. - Expertise in C & C++ programming languages. - Strong Knowledge of Android Camera or Image or Video processing. The candidate must have strong knowledge and hands-on experience in Camera HAL3 development and Android camera frameworks, strong C & C++ programming and debugging skills, strong knowledge in operating system fundamentals, concepts like RTOS, RAM/Cache, Interrupt handling applied to embedded systems, hands-on experience in Realtime issues, strong debugging and analysis skills, proficiency in performance & power, strong communication skills, willingness to travel, working experience in multimedia technologies, proficiency in version control tools, and experience in unit test frameworks. Duties and Responsibilities: - Ability to multitask in a quick-paced environment. - Gather, integrate, and interpret information across modules to troubleshoot issues. - Define tasks, create work breakdown, estimate tasks, and plan execution among team members. - Resolve complex software issues and bugs quickly. - Communicate with project lead, collaborate with project team, identify gaps in design, suggest strategies, perform code reviews, manage project priorities, perform integration testing, and more. Qualcomm is an equal opportunity employer and is committed to providing accommodations for individuals with disabilities during the application/hiring process. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes. For more information about this role, please contact Qualcomm Careers.,

You will be part of a team at Left Right Mind focusing on C++/MFC technologies for one of our clients in the electronics industry. Your role will involve participating in full software life-cycle development including UI design, development, testing, and deployment. To be successful in this position, you should have 5+ years of experience in C++, MFC, and/or C#, with expertise in OOAD and design of large scale applications. Experience in multi-threaded and distributed applications across operating systems is essential. You should have proven experience in debugging large complex software and working on production quality applications. Key Responsibilities: - Design and implement documented requirements - Support bug fixing and enhance unit testing of existing applications - Meet deadlines within the constraints of the current system - Train and mentor team members in analyzing, debugging, and performance tuning - Contribute individually to product solution development - Provide innovative solutions to technical challenges - Collaborate with teams across different geographical zones for software solutions development and delivery Qualifications: - 5+ years of experience in C++, MFC, and/or C#, OOAD - Experience in multi-threaded and distributed applications - Proven experience in debugging large complex software - Strong communication and teamwork skills - BE/BTech/MS/MCA/MTech (CS/Electronics) or equivalent degree Nice to Have: - High Performance Computing - Image Processing - Real Time Systems - Semiconductor or Medical Devices company software experience If you are a software engineer with a passion for developing industry-leading applications and features, we encourage you to apply for this exciting opportunity.,

Samsung is a world leader in Memory, LCD and System LSI technologies and is currently seeking exceptional software and hardware talent to join the Samsung Indian Design Centre and the Advanced Computing Lab (ACL) in San Jose, CA. The Samsung Austin Research Center (SARC) in Austin, TX was established in 2010 as one of Samsung's strategic investments in high-performance low-power ARM-based device technology. The GPU design teams in Austin (SARC), San Jose (ACL), and India Bangalore are currently developing a GPU for deployment in Samsung mobile products. Additionally, the System IP team is focused on Coherent Interconnect and memory controller architectures. As a GPU Engineer, you will be part of a team responsible for designing and documenting major units in a GPU pipeline for Mobile graphics applications and potentially other related markets. This mid to senior level position involves working as an individual contributor to drive the functional and cycle simulators for the GPU pipeline. Collaboration with cross-functional teams including RTL design, modeling, and software on various sub-blocks of the end solution is essential. **Role and Responsibilities:** - Design and document major units in a GPU pipeline targeted at Mobile graphics and machine learning. - Develop functional and cycle simulators for the GPU pipeline, including collecting statistics for evaluating potential optimizations, prototyping to test functional correctness, and specifying detailed schemes for next-level hardware and/or software implementation. - Collaborate with implementation, modeling, and software teams to define and develop microarchitecture, software implementation, and/or a verification plan. - Investigate alternate approaches for important GPU workloads, incremental optimizations, and rebalancing to maximize performance in future key workloads. - Work with software developers to understand trends in future graphics and AI applications, addressing problems faced by application and middleware developers. - Find and/or implement applications to exercise novel algorithms in drivers/hardware. **Minimum Requirements:** - Experience using parallel programming. - Knowledgeable in GPU or other parallel processing architectures. - Strong knowledge of GPU architecture, primarily on Linux Stack or Kernel Mode Driver. - Knowledge of key mobile GPU graphics workloads and compute application workloads such as computer vision, image processing, AI, and Image compression. - Knowledge of game applications, game rendering engines, academic papers on advanced rendering techniques desirable. - Expertise in implementing advanced graphics rendering techniques, machine-learning (AI) approaches. - Proven ability to debug complex issues in multi-threaded environments. - Understanding of Operating System fundamentals and concepts. - Familiarity with offline and JIT compiler designs. - Background in Linux and Android development. - Strong C, C++, and Python programming experience or industrial experience in systems programming (driver development a strong plus). - Strong algorithmic background and outstanding problem-solving skills. - System-level performance analysis and strong OS fundamentals (memory management, multithreading/synchronization, user/kernel mode interaction). - Excellent C and C++ programming skills (assembly a plus). - Understanding of rasterization pipeline and modern GPU architectures. - Excellent communication and teamwork skills. - Ability to own a problem and drive it to completion. **Preferred Qualifications:** - Experience working with ARM 64-bit architecture. - Experience developing system software for Android OS. - Knowledge of high-level shading languages, e.g., GLSL/HLSL. - Understanding of modern real-time rendering game engines.,

As a Computer Vision Engineer at wTVision in Noida, India, you will be an integral part of our development team, focusing on designing and implementing cutting-edge computer vision algorithms and systems. Your role will involve optimizing machine learning algorithms, conducting spatial and temporal analysis of object movements, developing real-time processing algorithms for Vision-AI perception metadata, and collaborating with the product team to define new features and functionalities. Your responsibilities will include analyzing and enhancing the end-to-end accuracy of the computer vision pipeline, staying abreast of emerging technologies, working on scalable software solutions with the software development team, and deploying models on edge devices like NVIDIA Jetson. You will be expected to have a strong academic background in Computer Science or related fields, proficiency in programming languages such as Python and C++, experience in image and video processing, and excellent communication and collaboration skills. Ideal candidates should have hands-on expertise with PyTorch, TensorRT, CuDNN, and Deep Learning frameworks like TensorFlow and Keras. A solid understanding of object-oriented programming, parallel computing, and concepts like Linear Algebra and 3D Geometry is required. Additionally, experience with NVIDIA Deep Stream, Jetson, and CUDA programming, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization technologies, and contributions to the computer vision community are considered advantageous. If you are self-motivated, possess strong problem-solving skills, and can deliver high-quality work while handling multiple tasks, we encourage you to apply. A passion for sports and technology will be a plus in this dynamic and innovative work environment.,

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. With LooprIQ Inspect, customers can easily automate the detection of defects in products, verify assembly of parts, and perform various other tasks. We have developed a state-of-the-art micro-service architecture that utilizes the latest computer vision AI models in the backend to analyze real-time video data. The inference results are stored in a scalable middleware and presented through a user-friendly front-end interface optimized for operators using the app in a factory setting. The data from the app can be seamlessly integrated with the customer's ERP system for deriving valuable analytics. We are currently looking for an experienced and motivated ML Engineer to join our team in a technical lead capacity. In this role, you will be responsible for leading the development and training of computer vision models that power LooprIQ Inspect, effectively addressing complex issues faced by customers in the manufacturing and aerospace industries. Additionally, you will serve as a technical lead, providing guidance and support to other members of the ML team. As a part of our team, you will have the opportunity to: - Design, train, debug, fine-tune, and deploy deep learning models for object detection, image segmentation, and image classification tasks. - Champion dataset management and exploration using cutting-edge data platforms like Encord. - Provide technical guidance and take ownership of deliverables within a close-knit team of ML scientists. - Collaborate with cross-functional teams to understand project requirements and offer technical expertise in computer vision. - Orchestrate complex computer vision pipelines and workflows using our internal Azure & ML Flow services, ensuring reproducibility and scalability of experiments and models. - Integrate computer vision models into production applications using Python libraries and other relevant technologies. - Optimize computer vision models for performance, efficiency, and accuracy across different hardware platforms. - Stay informed about the latest advancements in computer vision and machine learning research to enhance the company's capabilities. Minimum Requirements: - Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or related fields. - 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio. Experience in manufacturing industries is a plus. - 2+ years of proven technical leadership experience. - Proficiency in Python, familiarity with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and Linux/bash proficiency. - Experience in building, deploying, and maintaining production ML systems. - Familiarity with cloud platforms, especially Azure, for deploying and scaling computer vision models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. - Strong problem-solving skills, independence, innovation, and effective communication skills. Joining Loopr AI presents an exciting opportunity to work alongside a dynamic team at the forefront of computer vision technology. You will be involved in cutting-edge projects, collaborate with industry experts, and contribute significantly to solving real-world challenges using computer vision techniques.,

Our Company Changing the world through digital experiences is what Adobes all about We give everyone?from emerging artists to global brands?everything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen, Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards, Adobe is proud to be an Equal Employment Opportunity employer We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law Learn more about our vision here, Adobe aims to make Adobe accessible to any and all users If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe or call (408) 536-3015, Show

Job Description In this role you will be responsible for designing, implementing, and validating functionality for the next generation of our software composed of a cloud-based interface for configuration and monitoring as well as a processing engine for the transformation of PDF files into printable data. In digital printing, our software is used to configure, validate, monitor, and automate the exchange and the processing of PDF files into data that printing machines can use. You will work with a wide range of technologies, communication protocols and programming languages to provide customers with a fully automated digital printing workflow going from customer IT systems to printers. You will be part of a small team using modern tools and methodology to deliver innovative products in a fast-paced environment. Skills Required 3-10 years of experience writing software solutions in C++ / C#. 3+ years of experience in C# and .NET. Experience in Windows Operating System . Excellent in Multi-Threading . Good knowledge of modern software development principles, concepts, and practices, Good communication and interpersonal skills. Experience in cloud technologies (i.e Azure). Knowledge of digital printing technologies. Knowledge of image processing. Knowledge of GPU programming / CUDA. DFE Server development for VDP (Variable Data Printing) and Color processing. Having an algorithmic / scientific mindset (prior experience for example in Image Processing , Algorithm Optimization , etc.) Main responsibilities Design and implement new SW components handling: PDF processingin in a distributed environment, Connectivity with customers systems, our print engine,and our cloud platform, Configuration and monitoring functionality within our cloud platform, Participate to the extension of the automated build and test framework, Perform code reviews and ensure that own developments passe CI daily, Ensure that software quality standards are applied via adequate automated tests, Collaborate with different stakeholders (print specialists, product owner, field technicians, customers, ). Our Software Stack Languages: C#, C/C++20, Angular Frameworks: .NET, Azure, Adobe PPE, WPF CI/CD: Azure Devops with git IDE: Visual Studio Skills and Knowledge: C#, C++, Multi-Threading, windows operating system, DFE (Digital Front End), VDP (Variable Data Printing), Prior experience in Image processing and Algorithm optimization. Apply We Are Looking For Ambitious, Experienced Developers! Glassdoor Have a referral? X

Computer Vision Engineer Location: Jaipur, Indore and Gurgaon Experience: 4+ Position - 1 Role Overview: We re seeking a passionate and driven Computer Vision Engineer to join our AI team in building production-grade vision systems that scale. This role goes beyond traditional image processing it offers the opportunity to work on cutting-edge CV models and multimodal AI with LLMs . If you love clean code, powerful models, and real-world challenges across imagery, restoration, and emerging vision-language technologies, we want to talk to you. What You ll Do Design and implement advanced computer vision algorithms for: Image quality enhancement Blur/glare detection Super-resolution Color normalization Build deep learning models using PyTorch trained on large-scale visual datasets , from prototyping to deployment. Maintain robust vision pipelines with OpenCV , Albumentations , YOLO (Ultralytics) , and Segment Anything (SAM) . Deploy models via Docker/Kubernetes and integrate into cloud-native systems (AWS/GCP). Define, track, and optimize quantitative image quality metrics for automated evaluation and monitoring. Collaborate across product, design, QA, and data teams to translate user needs into engineering solutions. Contribute to exploratory R&D around LLMs , vision-language models , and tool-using agents supported by a strong learning environment. Stay up to date with research in NeRFs , diffusion models , generative vision , and multimodal systems . Minimum Qualifications 4+ years of professional software/ML development experience . 3+ years of hands-on experience building computer vision applications at scale. Strong command of Python , with deep familiarity using PyTorch and OpenCV . Experience developing and training deep learning architectures (CNNs, transformers) for visual tasks. Solid understanding of image processing , data augmentation , and model evaluation metrics . Hands-on experience with Docker , Git , and cloud services ( AWS , GCP , or similar). Interest in learning or contributing to LLM-based systems and multimodal AI pipelines . Preferred Qualifications Experience with models/tools like: YOLOv5/v8 , Detectron2 , SAM , OCR pipelines Familiarity with: CLIP , BLIP , vision-language models LangChain , AutoGen , CrewAI or similar tool-using frameworks Exposure to vector databases like FAISS , Weaviate , or Pinecone Background in generative models (GANs, diffusion), video analytics , or multimodal learning Publications, personal projects, or open-source contributions in CV/AI are a plus

Job_Description":" AI/ML Engineer Key Responsibilities Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis. Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch. Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus. Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery. Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data. Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms. Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems. Monitor and maintain deployed models to ensure consistent performance in clinical environments. Requirements Must-Have Skills Proficient in Deep Learning and Machine Learning techniques. Strong experience with TensorFlow and PyTorch. Solid background in image processing and computer vision, especially with CNN architectures. Proficiency with Docker and experience with CI/CD pipelines. Excellent programming skills in Python and experience with relevant ML libraries. Understanding of data pipelines and handling large-scale medical imaging datasets. Nice to Have Experience deploying ML models on cloud platforms such as AWS and Azure. Experience with Kubernetes or orchestration frameworks. Familiarity with MLOps tools and workflows. Experience with distributed training or federated learning. Contributions to healthcare AI research or open-source projects. Education & Experience Bacheloror Masterdegree in Computer Science, Biomedical Engineering, Data Science, or related field. 1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting. Why Join Us Opportunity to work on transformative AI applications in healthcare and radiology. Collaborative and mission-driven team environment. Access to advanced medical imaging datasets.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience, 10 years of experience with Camera ISP image processing or other multimedia IPs such as Display or Video Codec, 10 years of experience with System Verilog Assertions (SVA), assertion-based verification, and formal verification, 4 years of experience in people management, developing employees, Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, Experience in low-power design verification, Experience working with RTL design and integration teams on methodologies that improve team productivity and velocity, Experience working with software teams to define hardware/software interfacing including control/status registers, security, and error handling, About The Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products You'll contribute to the innovation behind products loved by millions worldwide Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration, Google's mission is to organize the world's information and make it universally accessible and useful Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful We aim to make people's lives better through technology, Responsibilities Lead a team of individuals; set and communicate individual and team priorities that support organizational goals Meet regularly with individuals to discuss performance and development, and provide feedback and coaching, Work cross-functionally to debug failures and verify the functional correctness of the design, Provide test plans, including verification strategy, environment, components, stimulus, checks, and coverage, and ensure documentation is easy to use, Plan the verification of complex Camera ISP hardware IPs at subsystem and full chip level by fully understanding the design specification and interacting with architecture and design engineers to identify important verification scenarios, Create and enhance constrained-random verification environments using System Verilog and UVM, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercards AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercards competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: oConfluence (Documentation) oBitbucket/Stash (Code Sharing) oShared Folders (File Sharing) oALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required

Company Overview Group/Division The ICOS Vision Systems division focuses on the backend of the line semiconductor industry providing fully automated tools to inspect and sort, finished integrated circuit packages. For more than 15 years, ICOS has been a market leader with tray-to-tray and tray-to-tape inspection and sorting tools found in the production facilities of all major chipmakers in the world. Our market-leading technology and superior customer service requires strong talent in optics, machine control, algorithms and applications within our engineering teams. The ICOS division headquarters are in Leuven, Belgium with additional engineering and manufacturing operations in Singapore and Shenzhen (China). Job Description/Preferred Qualifications Extend and maintain software driving wafer and panel metrology products for the semiconductor industry. Tasks Analyze, design and implement new features. Create automated tests. Develop and maintain supporting tooling. Analyze and fix bugs. Provide support to other (non-developer) team members and field engineers. Skills and qualifications 3 to 10 years of experience in SW engineering role. Good knowledge of (modern) C++ and/or C#. Knows how to use a version control system, preferably git. Understands UML models and is able to create them. Handles the full development cycle: requirements gathering, analysis, implementation, testing, installation and support. Knowledge of image processing, automation or robotics is a plus. Good spoken/written English communication skills. Can work independently in a small team. Takes initiative. Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 years

Company Overview Group/Division The ICOS Vision Systems division focuses on the backend of the line semiconductor industry providing fully automated tools to inspect and sort, finished integrated circuit packages. For more than 15 years, ICOS has been a market leader with tray-to-tray and tray-to-tape inspection and sorting tools found in the production facilities of all major chipmakers in the world. Our market-leading technology and superior customer service requires strong talent in optics, machine control, algorithms and applications within our engineering teams. The ICOS division headquarters are in Leuven, Belgium with additional engineering and manufacturing operations in Singapore and Shenzhen (China). Job Description/Preferred Qualifications Extend and maintain software driving wafer and panel metrology products for the semiconductor industry. Tasks Analyze, design and implement new features. Create automated tests. Develop and maintain supporting tooling. Analyze and fix bugs. Provide support to other (non-developer) team members and field engineers. Skills and qualifications 3 to 10 years of experience in SW engineering role. Good knowledge of (modern) C++ and/or knowledge of C#. Python is a plus. Knows how to use a version control system, preferably git. Understands UML models and is able to create them. Handles the full development cycle: requirements gathering, analysis, implementation, testing, installation and support. Knowledge of image processing, automation or robotics is a plus. Good spoken/written English communication skills. Can work independently in a small team. Takes initiative. Minimum Qualifications Masters Level Degree and 0 years related work experience; Bachelors Level Degree and related work experience of 2 years

** DO NOT APPLY ON NAUKRI ** WA CV: 888-464-3032 --- Part-Time Job: 4 hours / day -- (Fixed Time) --- Online Image Checking & Tagging Very Sharp Focus Excellent Computer & Internet Knowledge General Awareness Good English Required Candidate profile Part-Time Job 4 hours / day -- (Fixed Time) Mon-Sat Must have own laptop & Broadband Wi-Fi Good English

Introduction: You will bring your experience in AI/ML, image processing, and data analysis with a focus on vision-based applications, for contribution to transformative technological advancements. At the software and instrumentation group of CITE, we provide a distinguished platform for professionals aspiring to lead innovation in next-generation Vision Systems. You will be part of a dynamic and multidisciplinary team of scientists and engineers engaged in the development of advanced solutions for material characterization, inspection, automation, and intelligent instrumentation. This role offers a unique opportunity to engage in continuous learning while contributing to impactful, cutting-edge research and development initiatives. Key Responsibilities: - Design and develop software solutions using advanced artificial intelligence and classical image processing techniques. - Integration of machine vision setup for vision-based inspection - Development of user-interface using Python/C++/HTML etc. to access the camera interface and to perform offline and online data analysis - Algorithm development using classical image processing and advance AI-based methodologies - preparing dashboard for experimentation data visualization using Excel/Power Bi/any SoTA tool. - Pipeline development for central data connectivity - Experience in application development - Preparing high quality technical document, software architecture document and version control - Optimized, Clear, leaner and efficient coding using Python/LabVIEW/MATLAB/C++ etc., using GPU based architecture - System integration and deployment at customer locations - Support in system configuration and product deployment - Sensor integration, calibration, fusion with central processor Required Skills, Qualifications and Experience: - B.Tech / M.Tech in Electrical/Electronics/Instrumentation/Computer Science Engineering/ any relevant stream from a reputed institution. - 2-5 years of hands-on project experience in AI/ML, image processing, and Python programming. - Strong foundation in image processing and machine vision using python/C++/MATLAB. - Expertise in developing deep learning models for vision-based applications using Torch/TensorFlow. - Familiarity with sensor integration, edge computing, embedded system, data pipeline management in cloud platform, database management, application & user interface development - Experience with hardware-software integration and communication protocols. - Excellent problem-solving skills and attention to detail. - Strong communication and documentation abilities. Highly desirable: experience in paper publication/patent filing/ publishing technical reports in the field of computer vision and real-time data analysis.

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,