1889 Image Processing Jobs - Page 12

B.Tech/M.Tech in Electronics/Computer Science At least 4 years work experience (B.Tech/MTech) in Computer Vision/Image Processing/Signal Processing/Machine Learning Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning Strong proficiency in python , C++ , Linux Fluency in data structures, algorithms Knowledge of embedded realization of ML models is a plus Prior experience with Deep learning frameworks such as Tensorflow/Pytorch What You Need Develop novel algorithms for solving challenging 3D computer vision & Augmented Reality problems for enhancing Mobile Camera user experience Develop multi-view geometry related solutions , strong knowledge & debugging skill in camera ISP Use innovative ideas to continuously improve the solution to take them to the end-user Extensive quality evaluation and regression testing of the developed solution to meet strict quality guidelines Actively participate in design discussions to enhance end-to-end development of the solution Follow strict agile practices with regular code reviews, etc

We are seeking an experienced Embedded Engineer with with a strong background in medical image visualization, optical imaging, and embedded software technologies You will lead the design and integration of advanced image visualization solutions for surgical applications, combining real-time imaging, computer vision, and 3D model rendering on the NVIDIA Jetson platform This role is ideal for someone who thrives at the intersection of hardware-based imaging systems and high-performance visualization software, from integrating surgical cameras and medical imaging to optimizing real-time rendering pipelines for intraoperative use Key Responsibilities Design, implement, and optimize real-time medical visualization pipelines on NVIDIA Jetson platforms (eg, AGX Orin, Xavier Integrate and synchronize multiple imaging modalities (surgical microscopes, endoscopes, ultrasound, external tracking systems) into cohesive visualization environments Develop and optimize 3D rendering, image processing, and augmented reality overlays for intra-operative guidance on video feed Implement algorithms for camera calibration, image registration, and fusion of multimodal medical data Interface directly with imaging sensors, frame grabbers, and APIs via USB, Ethernet, and GPIO Perform performance optimization using CUDA, TensorRT, JetPack, with focus on low-latency and high-fidelity renderingConduct validation with synthetic and real surgical imaging data under clinical workflow constraints Contribute to IEC 62304 and ISO 13485-compliant documentation for imaging software modules Required Skills Qualifications Bachelors or Masters degree in Computer Science, Biomedical Engineering, or related field 3+ years of experience in surgical visualization, and high-performance graphics Strong embedded systems skills (Jetson, JetPack SDK) Proven expertise in integrating and optimizing camera-based or optical imaging systems Proficiency in C++, Python, CUDA, Linux Solid understanding of real-time rendering, image processing, and visualization frameworks (eg, OpenGL, VTK, ITK) Preferred (Secondary) Experience with surgical navigation or AR-based medical visualization Knowledge of optical system design and calibration Familiarity with DICOM standards and medical imaging formatsExposure to medical regulatory standards (ISO 13485, IEC 60601, IEC 62304) What We Offer Opportunity to create cutting-edge surgical platforms with tangible impact in surgical care Work closely with surgeons, biomedical engineers, and AI experts from the top universities in the world in a collaborative setting Access to advanced imaging hardware and RD facilities Competitive salary, benefit, growth and career building opportunities

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Strong Engineering experience with advance python skills.- Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.- Work on operationalize LLMs, from experimentation to deployment in production environments.- Implement and monitor observability tools for LLM applications (latency, throughput, prompt performance, hallucinations, drift, etc.).- Manage prompt management and versioning systems, as well as fine-tuning and retrieval-augmented generation (RAG) workflows.- Automate model validation, testing, and CI/CD pipelines to support safe and efficient LLM deployment.- Ensure security, compliance, and ethical use of LLMs in production environments (e.g., data governance, bias detection).- Stay updated with advances in LLM infrastructure, serving frameworks, and tooling ecosystems.- Must To Have Skills: Proficiency in Machine Learning Operations.- Good exposure of cloud based services including AI services.- Must have thorough understanding of infrastructure need for LLMOps implementation.- Must have python skills.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive ECU Software Good to have skills : JetbeansMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and experienced C++ Engineer with experience in Computer Vision and Image processing to develop and optimize image processing and computer vision applications across desktop and embedded platforms. The ideal candidate will bring hands-on expertise in C++, OpenCV, and AI/ML frameworks, with a solid understanding of real-time systems and multi-threaded applications. You will be involved in the full software development lifecyclefrom requirements gathering to deploymentwhile collaborating with cross-functional teams on innovative solutions for real-world problems such as vehicle recognition, tread depth estimation, and sensor fusion. Roles & Responsibilities:- Design, develop, and maintain robust computer vision and image processing solutions for practical, field-deployed systems.-Translate project requirements into technical specifications and implement efficient software modules.-Contribute to multi-platform development, including desktop and embedded systems (Linux, Windows, Android).-Optimize performance of algorithms using profiling tools, multi-threading, and hardware acceleration.-Participate in code reviews, design sessions, and mentor junior engineers.-Continuously improve development workflows, coding standards, and integration pipelines. -69 years of experience in computer vision / image processing.-Strong programming expertise in C++ and Python.-Hands-on experience with OpenCV, OpenGL, Qt/GTK, and multi-threaded programming.-Proficiency in one or more AI/ML frameworks (PyTorch, TensorFlow, or Keras).-Experience with socket communication, real-time systems, and backend databases (SQL-based).-Solid understanding of data structures, algorithms, and system performance tuning.-Familiarity with software development in Linux, Windows, and embedded environments. Good To have - Experience with embedded platforms (e.g., Jetson, Raspberry Pi, Android-based systems).Knowledge of hardware acceleration frameworks such as OpenVINO or CUDA.Exposure to DevOps tools, CI/CD practices, and containerization (e.g., Docker).Experience in industrial automation, automotive systems, or smart surveillance. Professional & Technical Skills: - Develop and optimize image processing algorithms using C++ and OpenCV for use cases like:Tread depth measurement Vehicle detection and identificationPressure and structural analysis-Work with modern frameworks and libraries such as:OpenVINO, OpenGL, Qt, GTK, Dlib, OpenMP, MPI, Android NDKDeep learning libraries including PyTorch, TensorFlow, and Keras-Use a range of programming languages depending on project needs:C++, Python, C#, Lisp-Develop using IDEs such as Visual Studio, VS Code, Qt Creator, Xcode, and Spyder.-Build and maintain backend systems using MySQL, MS SQL Server, and SQLite.-Implement socket-based communication and multi-threading for real-time data transfer and processing.-Apply strong data structures and algorithmic knowledge to enhance system performance and reliability. -Work with hardware and embedded teams to integrate sensor data and ensure seamless hardware-software interfacing.-Support deployment, testing, and debugging across multiple platforms and hardware configurations.-Keep up with the latest advancements in computer vision, AI/ML, and edge computing technologies.-Document technical architecture, decisions, and module-level workflows.-Engage in client interactions to provide technical insights, feedback, and support for ongoing and upcoming projects. Additional Information:- The candidate should have minimum 7.5 years of experience in C++ Programming Language.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : User Experience (UX) Design Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in User Experience (UX) Design.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in User Experience (UX) Design.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Strong Engineering experience with advance python skills.- ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Good exposure of cloud based services including AI services.- Must have thorough understanding of infrastructure need for MLOps implementation.- Must have python skills.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Front End Development (FED) Angular Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Front End Development (FED) Angular.- Strong understanding of AI and ML concepts.- Experience with cloud AI services like AWS or Azure.- Knowledge of deep learning and neural networks.- Familiarity with chatbot development.- Hands-on experience with image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Front End Development (FED) Angular.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Strong Engineering experience with advance python skills.- Design, build, and maintain LLM pipelines for training, fine-tuning, evaluation, and deployment.- Work on operationalize LLMs, from experimentation to deployment in production environments.- Implement and monitor observability tools for LLM applications (latency, throughput, prompt performance, hallucinations, drift, etc.).- Manage prompt management and versioning systems, as well as fine-tuning and retrieval-augmented generation (RAG) workflows.- Automate model validation, testing, and CI/CD pipelines to support safe and efficient LLM deployment.- Ensure security, compliance, and ethical use of LLMs in production environments (e.g., data governance, bias detection).- Stay updated with advances in LLM infrastructure, serving frameworks, and tooling ecosystems.- Must To Have Skills: Proficiency in Machine Learning Operations.- Good exposure of cloud based services including AI services.- Must have thorough understanding of infrastructure need for LLMOps implementation.- Must have python skills.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with cloud platforms and services related to AI deployment.- Ability to work with programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : User Experience (UX) Design Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing solutions with production-ready quality on cloud or on-prem application pipelines. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI models for various applications.- Conduct research on emerging AI technologies and tools.- Mentor junior team members in AI/ML concepts. Professional & Technical Skills: - Must To Have Skills: Proficiency in User Experience (UX) Design.- Strong understanding of AI and ML concepts.- Experience with cloud AI services and tools.- Knowledge of deep learning and neural networks.- Hands-on experience in developing chatbots and image processing solutions. Additional Information:- The candidate should have a minimum of 7.5 years of experience in User Experience (UX) Design.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Qualification:Computer Science or a related field. Experience:3 5 years. of Vacancy:1. Responsibilities. Develop and deploy computer vision algorithms and deep learning models for diverse problems. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing. Analyze, evaluate and optimize existing computer vision systems to improve performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions that meet project requirements. Monitor the performance and accuracy of computer vision models, making necessary adjustments and improvements. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Skills. 3 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science, or a related field. Proven experience in developing computer vision systems, including hands-on implementation and deployment. Strong knowledge of computer vision algorithms, libraries and tools, such as OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, PIL, Matplotlib, Seaborn, etc. Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL. Expertise in various computer vision projects including object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking and model compression/optimization. Knowledge of runtime AI frameworks like ONNX, TensorRT, OpenVINO. Experience in cloud platforms (AWS, Azure), Docker, Kubernetes and GitHub. Experience in training models through GPU computing or on the cloud. Familiarity with machine learning and deep learning concepts and frameworks. Excellent problem-solving skills and the ability to think analytically. Good written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audiences. Ability to work independently and in a fast-paced environment and also be able to work in a team when required. Desired Candidate Profile. Experience:3 5 years. Location:Bangalore. Qualification:Computer Science or a related field. Job Type:Full-Time, Permanent. Schedule:Day Shift, Monday to Friday. Workplace Type:On-site (Work from Office). Notice Period:Immediate.

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

We are seeking a 'Computer Vision Engineer' to develop AI-driven video analytics solutions for extracting in-depth cricket data from match footage, live broadcasts, and player tracking systems. This role involves leveraging deep learning, pose estimation, and image processing to analyze player movements, shot selection, bowling mechanics, and match dynamics. Key Responsibilities. Video-Based Cricket Analytics. Develop computer vision models for player tracking, ball trajectory prediction, and shot classification. Extract real-time insights from video streams, including player positions, footwork analysis, and batting/bowling techniques. Implement pose estimation (OpenPose, MediaPipe, DeepLabCut) to analyze player body movements. Use action recognition models to classify batting strokes, bowling variations, and fielding plays. Deep Learning & Image Processing. Apply CNNs, Transformers, YOLO, Mask R-CNN, and Optical Flow for cricket action recognition. Develop segmentation models to differentiate players, umpires, and key match elements (ball, stumps, pitch zones). Use GANs and super-resolution techniques to enhance low-quality video footage. Build OCR (Optical Character Recognition) systems to extract scoreboards and match statistics from live broadcasts. Real-Time Video Processing & Streaming. Implement real-time video processing pipelines using OpenCV, FFmpeg, and GStreamer. Work with multi-angle TV footage and drone feeds to enhance match analysis. Develop low-latency algorithms for real-time ball speed, swing, and spin detection. Data Collection, Annotation & Model Training. Build automated annotation tools for labeling cricket match videos. Train supervised and unsupervised learning models using cricket datasets. Collaborate with sports analysts to validate and refine model predictions. Model Deployment & Performance Optimization. Deploy computer vision models on edge devices, cloud platforms, and real-time streaming systems. Optimize models for low latency and high accuracy in live cricket broadcasts. Implement A/B testing and continuous monitoring to improve model performance. Camera Calibration & Video Trigonometry. Perform camera calibration for distortion correction and real-world coordinate mapping. Use homography transformation and perspective correction for multi-angle alignment. Apply video trigonometry to calculate player distances, ball speed, angles, and movement trajectories. Work with multi-camera synchronization and stereo vision for depth estimation in cricket analytics. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Design, develop, and deploy Generative AI solutions leveraging state-of-the-art AI/ML technologies. Perform fine-tuning of LLM models, RAG implementation, and dataset curation to deliver customized AI use cases. Work with platforms like GCP, AWS, Azure, and private servers/edge devices to create scalable AI systems. Implement AI tools and frameworks, such as NVIDIA libraries, TensorFlow, and PyTorch, to develop advanced solutions. Ensure seamless integration of AI models with business processes, and adhere to best practices in software development methodologies. Demonstrate strong knowledge of NLP, neural networks, and cloud platforms while ensuring robust performance and innovation in Gen AI solutions. Skills : - Gen AI/ML, LLM Fine-Tuning, Cloud Platform Expertise (AWS, Azure, GCP), RAG Implementation, NLP, Python, Neural Networks, Gen AI, Machine Learning, LLM Fine-Tuning, RAG Implementation, TensorFlow, PyTorch, NVIDIA Libraries, Python, NLP, Cloud Platforms (AWS, Azure, GCP), AI Use Case Development, AI Integration, Software Development Methodologies

About the Role: We are looking for a Senior Software Engineer to work on core systems powering health data pipelines, secure user messaging, image uploads, and AI-enabled features. You will contribute to building robust microservices, efficient data pipelines, and modular infrastructure to support our next-gen health platform. Responsibilities: - Develop and maintain microservices for: - Health data exchange and real-time access - Chat/messaging and AI chatbot experiences - Image upload, parsing, and visualization pipelines - Write clean, testable code in Kotlin with Spring Boot - Work with Redis for caching, OpenSearch for fast querying, and PostgreSQL for persistence - Follow established engineering practices around testing, deployments, and logging - Participate in architectural discussions, code reviews, and optimization efforts - Work cross-functionally with QA, product, DevOps, and design teams Qualifications: - 4-7 years of backend engineering experience - Proficiency in Kotlin (or Java) and Spring Boot - Knowledge of Redis, OpenSearch, PostgreSQL - Experience building microservices and RESTful APIs - Exposure to messaging platforms, chat engines, or AI conversation systems - Basic understanding of image processing or file handling in backend systems - Comfortable in CI/CD, containerized deployments, and observability tooling.

As a Qualcomm Systems Engineer at Qualcomm India Private Limited, you will be at the forefront of technology innovation, pushing boundaries to enable next-generation experiences and driving digital transformation for a smarter, connected future. Your role involves researching, designing, developing, simulating, and validating systems-level software, hardware, architecture, algorithms, and solutions to facilitate cutting-edge technology development. Collaborating across functional teams, you will ensure system-level requirements and standards are not just met but exceeded. You should hold a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with a minimum of 2 years of Systems Engineering experience. Alternatively, a Master's degree in a relevant field with at least 1 year of related work experience is acceptable. A PhD in Engineering, Information Systems, Computer Science, or a related field is also a qualification option. Recent and relevant experience in image processing, computer vision, or the video domain is required for this role. You should possess a strong understanding of image processing and computer vision fundamentals, hands-on experience in camera/computer vision pipeline development, porting, and optimization, as well as expertise in optimizing image processing kernels on various architectures. Proficiency in C/assembly programming, multithreading, OS concepts, collaboration with cross-functional teams, and analytical problem-solving skills are essential. Exposure to OpenCV APIs is advantageous. Your responsibilities will include developing and productizing various computer vision solutions on Qualcomm processors, optimizing algorithms on CPU, DSP & GPUs, enhancing imaging firmware solutions, designing imaging features, and collaborating with diverse teams for productization. You will also interact with customers to commercialize Qualcomm computer vision solutions. The ideal candidate will possess a Bachelor's or Master's degree in Computer Engineering and/or Electrical/Electronics Engineering. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm's disability accommodations email or toll-free number. Qualcomm expects all employees to adhere to applicable policies and procedures, including security measures for protecting confidential information. Staffing and recruiting agencies are advised that Qualcomm's Careers Site is exclusively for individual job seekers, and unsolicited submissions will not be accepted. For further information about this role, please reach out to Qualcomm Careers.,

We are looking for a highly skilled Senior C++ Engineer with over 5 years of experience to join our team at Naico ITS in SmartCity, Kochi. As a Senior C++ Engineer, you will be responsible for working on complex software migration projects involving legacy codebases. Your expertise in C++ programming, particularly in unmanaged code, will be essential for this role. One of the key requirements for this position is proficiency in image processing and visualization, with a focus on medical imaging (DICOM). You should have strong debugging, performance optimization, and memory management skills to ensure the smooth transition of software projects. Additionally, the ability to analyze and refactor tightly coupled codebases for improved maintainability and performance is crucial. Specifically, we are seeking candidates with experience in VTK (Visualization Toolkit) and migrating from VTK 5.x to 9.x. Knowledge of VTK rendering pipeline, OpenGL2, and shader-based rendering is desirable. Understanding VTK Edge components and their custom reimplementation in VTK 9.x will be an advantage in this role. Your responsibilities will include analyzing and planning the migration from VTK 5.x to VTK 9.x, identifying and replacing VTK Edge dependencies with custom implementations, and upgrading the rendering pipeline to OpenGL2 for enhanced compatibility and performance improvements. If you are ready to take on this exciting challenge and have the required skills and expertise, we encourage you to apply for this position. We are looking for immediate joiners who are passionate about software development and are eager to contribute to our team at Naico ITS.,

The job involves building, training, and testing multiple Convolutional Neural Network (CNN) models, optimizing model training and inference using multiple GPUs and CPU cores. The ideal candidate should have a keen interest in Life Sciences, Image processing, Genomics, and Multi-omics analysis, and should be interested in reading and implementing research papers in the relevant field. The candidate should possess strong experience with Deep Learning frameworks such as TensorFlow, Keras, and PyTorch, as well as strong programming skills in Python and experience with libraries like Scikit-Learn and NumPy. Experience in training Object detection Models like YOLOv3/Mask CNN and semantic segmentation models like DeepLab, Unet, along with a good understanding of image processing and computer vision algorithms like watershed and histogram matching is required. Experience in cell segmentation and membrane segmentation using CNNs is optional. Minimum qualification required is B.E/B.Tech. in Computer Science or equivalent stream. The candidate must have experience with image processing, 2-10 years of experience, good Python programming and algorithmic skills, experience with deep learning model training using any known framework, and working knowledge of genomics data in R&D. Preferred qualifications include understanding of one or more omics data types (transcriptomics, metabolomics, proteomics, genomics, epigenomics), and prior work experience as a data scientist, bioinformatician, or computational biologist will be a big plus. This is an individual contributor role with a CTC ranging from 15-40 LPA. The key skills required for this position are Image Processing, PyTorch, and TensorFlow.,

As an AI Manager, you will lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Your responsibilities will include developing and maintaining the infrastructure required for the deployment and execution of algorithms at scale. You will collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. It will be your duty to optimize algorithm performance and resource utilization to meet business objectives. To excel in this role, you must stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems. You will drive continuous improvement in development processes, tools, and methodologies. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms. - Familiarity with high-performance computing, parallel programming, and distributed systems. - Strong leadership and team management skills with a track record of successfully leading engineering teams. - Proficiency in programming languages such as Python, C++, and CUDA. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. Preferred Qualifications: - Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with GPU architecture and algorithm development toolkit like Docker, Apptainer. Minimum Qualifications: - Bachelor's degree plus 8+ years of experience. - Master's degree plus 8+ years of experience. - Ph.D. with 6 years industry experience or M.Tech. + 8 years experience or B.Tech. + 10 years experience. - Minimum 3 years of experience working as a Manager (only Lead experience will not qualify). - 8 years of experience in any of the programming languages such as Python/C++/CUDA. - 8 years of experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. - 5 years of experience in Image processing. - Product Company Experience is a MUST. Candidates from engineering product companies have higher chances of selection. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT) are preferred.,

As a Lead Algorithm Engineer, you will be responsible for leading and mentoring a team of algorithm engineers to ensure their professional growth and success. You will play a crucial role in developing and maintaining the infrastructure necessary for deploying algorithms at scale. Collaboration with data scientists, software engineers, and product managers is key to designing and implementing robust and scalable algorithmic solutions. Your expertise will be essential in optimizing algorithm performance and resource utilization to achieve business objectives. Staying up-to-date with the latest advancements in algorithm engineering and infrastructure technologies is paramount. By applying these advancements, you will contribute to enhancing our systems. Driving continuous improvement in development processes, tools, and methodologies is an integral part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your proven experience in developing computer vision, image processing algorithms, and ML/DL algorithms will be a valuable asset. Proficiency in programming languages such as Python, C++, and CUDA is required. Additionally, you should possess strong leadership and team management skills, along with excellent problem-solving and analytical abilities. Effective communication and collaboration are essential qualities for success in this role. Preferred qualifications include experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. Familiarity with GPU architecture and algorithm development toolkits such as Docker and Apptainer is a plus. The minimum qualifications for this position include a Bachelor's or Master's degree along with at least 8 years of relevant experience. Familiarity with high-performance computing, parallel programming, and distributed systems is also expected.,

Xinthe Technologies is a global software services and product engineering company that focuses on helping businesses stay relevant and thrive in a technology-driven world. We are seeking a highly skilled and experienced Technical Lead specializing in Computer Vision with Python Programming, with a focus on image and video processing. The ideal candidate will have a strong academic background, significant hands-on experience in computer vision, and a proven track record of leading technical teams. Key Responsibilities: Technical Leadership: - Lead a team of computer vision engineers and developers. - Provide technical direction and mentorship to team members. - Drive the design, development, and deployment of computer vision algorithms and applications. Project Management: - Oversee project planning, execution, and delivery within stipulated timelines. - Collaborate with cross-functional teams to ensure seamless integration of computer vision solutions. - Manage stakeholder expectations and communicate project progress effectively. Research and Development: - Stay updated with the latest advancements in computer vision, image processing, and video processing technologies. - Conduct research to develop innovative solutions and improve existing methodologies. - Publish findings in reputed journals and conferences. Software Development: - Develop, optimize, and maintain Python-based computer vision codebases. - Implement state-of-the-art machine learning algorithms for image and video analysis. - Ensure code quality through rigorous testing and documentation. Image and Video Processing: - Design and implement algorithms for image enhancement, restoration, and transformation. - Develop solutions for video analysis, including object tracking, motion detection, and video summarization. - Optimize processing pipelines for real-time performance. System Architecture: - Design scalable and efficient architectures for computer vision systems. - Integrate computer vision modules with other system components and services. Client Interaction: - Understand client requirements and translate them into technical specifications. - Present technical solutions and demonstrate product capabilities to clients. - Provide post-deployment support and address client queries and issues. Required Skills and Qualifications: Technical Skills: - Proficiency in Python and its libraries (e.g., OpenCV, TensorFlow, PyTorch). - Strong understanding of computer vision concepts (e.g., object detection, image segmentation, feature extraction). - Extensive experience in image processing (e.g., filtering, edge detection, image transformation). - Significant experience in video processing (e.g., object tracking, motion analysis, video encoding/decoding). - Familiarity with machine learning and deep learning frameworks. - Experience with software development practices (e.g., version control, unit testing, continuous integration). Leadership Skills: - Proven ability to lead and mentor technical teams. - Excellent project management and organizational skills. Communication Skills: - Strong verbal and written communication skills. - Ability to present complex technical information to non-technical stakeholders. If you are interested in this position, please revert with your updated CV or feel free to call at 9963348886. Happy Working !!,

As an Automation Engineer specializing in IoT and Vision Systems, you will play a crucial role in designing and implementing cutting-edge automation and IoT solutions for our manufacturing processes. Your deep technical expertise, problem-solving skills, and enthusiasm for robotics and smart manufacturing technologies will be key assets in this role. Your responsibilities will include designing and implementing complete IoT solutions, developing scalable system architectures, and collaborating with stakeholders to deliver impactful IoT projects. You will also work on high-speed monitoring systems using vision systems for real-time quality control, develop firmware for microcontrollers and sensors, and write backend services for data acquisition and analytics. Additionally, you will program and integrate robotic systems for advanced automation and continuously seek opportunities for innovation and improvement in automation processes. To excel in this role, you should have at least 3 years of experience in image processing and vision system integration, along with proven experience in end-to-end IoT solution development. Strong coding skills in Python, C/C++, or PLC programming, familiarity with communication protocols, hands-on experience with PCB prototyping and sensor integration, and a background in robotics programming and vision-guided systems are essential. Your problem-solving abilities, creativity in automation solutions, and excellent analytical and communication skills will be invaluable assets. Key Skills: - Designing image processing-based high-speed monitoring systems - Developing sensor networks for manufacturing IPQA parameters - Strong programming and logical reasoning skills - Passion for robotics and automation - Creative approach to solving complex manufacturing problems If you are passionate about leveraging IoT and vision systems to drive automation and innovation in manufacturing, we invite you to join our team as an Automation Engineer.,

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : HanaMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to foster professional growth.- Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline construction. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education