78 Gstreamer Jobs - Page 2

Project description We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems. At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way. Responsibilities The engineer will be responsible for the Development, debugging, bug fixing and testing of our Xilinx embedded distribution with Yocto flows. Skills Must have Candidate should have 3-10yrs experience Good Knowledge of multimedia frameworks like v4l2 and DRM framework in Linux . Experience in Linux device drivers. Strong knowledge in C. Hands-on experience with Configuration Management tool like GIT, Perforce. Knowledge on GStreamer multimedia framework Have an interest to constantly learn and share new findings. A quality mindset, ability for strategic thinking and a drive to always improve. Self-motivated Nice to have GStreamer application development for creating multimedia pipelines

Project description This is a great opportunity to work as a part of a highly regarded team to deliver leading-edge solutions. We are looking for an experienced engineer for an exciting role to augment our Client's core Linux-embedded team to work on the latest platforms and software. The person will interact closely with key technical experts to ensure the best possible performance and results on the SoC platforms. Responsibilities Developing and optimizing GFX, Multimedia, Display, and Audio drivers according to project requirements. Collaborating with cross-functional teams for seamless integration of drivers. Conducting thorough testing, troubleshooting, and debugging of drivers. Contributing to the improvement and optimization of existing systems. Providing technical guidance and support as needed. Skills Must have 1.Engineer with 3-8 Years of experience in embedded Linux driver/kernel development. 2.Strong C development skills. 3.Experience with any one of the driver development domain Graphics driver DRM/KMS, OpenGL, Vulkan, OpenCL, Mesa. Multi Media-Video driver Vaapi, vdpau, gstreamer, v4l2. Power Management System to RAM, S0ix3. Display Driver development X, Wayland, Weston, Display driver Experience with Audio sub-systems, Audio drivers, frameworks and ALSA SOC(ASOC), Audio protocols like I2S/TDM. Proficient in Yocto development. Virtualization Xen, KVM, QNX hypervisor knowledge. Ethernet Driver Network driver development. 4.Good working experience with IPC, DMA driver development. 5.Experience with kernel mode driver programming in Linux 6.Linux Device driver programming experience in Linux Kernel and Drivers. 7.Experience dealing with Linux community and Open Source contribution is a plus 8.System knowledge, System Debugging Nice to have Expertise with CAR Framework Automotive experience

**Purpose of Job** 1. To Maintain Accounts of Nandi Printers Pvt Ltd correctly 2. To Maintain Tax Compliance of the Company 3. To Improve our Accounting systems 4. To Monitor, Track and Supervise day-to-day account-related activities 5. To Implement systems for collecting, analysing, verifying and reporting information --- **Eligibility Criteria** 1. BCom Graduate 2. Minimum of 4 years of experience in accountancy; it is advantageous to have worked in an audit firm 3. Good Command of English, Hindi, and Kannada. Other Indian Languages like Tamil/Telegu would be an added advantage 4. Has Experience in Statutory Compliances i.e. Direct and Indirect Taxes 5. Must have a strong desire to learn and the ability to adapt 6. Ability to act competently when necessary --- **Key Responsibilities** Manage and oversee the daily operations of the accounting department including: 1. Month and end-year process 2. Accounts payable/receivable 3. Cash and Bank Books 4. General ledger 5. Payroll and utilities 6. Statutory Compliance work: - GST 1, GSTR 2B reconciliation, GSTR 3B, GSTR 9 7. TDS, ESI and PF 8. Organized maintenance of accounts 9. Monitor and analyze accounting data and produce financial reports or statements 10. Establish and enforce proper accounting methods, policies and principles 11. Coordinate and complete annual audits 12. Improve systems and procedures and initiate corrective actions 13. Establish and maintain fiscal files and records to document transactions 14. Payment-related activities - Sundry debtors and Sundry Creditors 15. Financial Year closing activities 16. Storage of Documents and maintenance of files.

Requirement: BCom Graduate and CA [ Advantage] Minimum of 5 years of experience in accountancy, it is advantageous to have worked in an audit firm Good Command of English, Hindi and Kannada. Other Indian Languages like Tamil/Telegu would be an added advantage Has Experience in Statutory Compliances i.e Direct and Indirect Taxes Must have a strong desire to learn and the ability to adapt Ability to act competently when necessarily Job Responsibilities Manage and oversee the daily operations of the accounting department including: 1. Month and end-year process 2. Accounts payable/receivable 3. Cash and Bank Books 4. General ledger 5. Payroll and utilities 6. Statutory Compliance work: - GST 1, GSTR 2B reconciliation, GSTR 3B, GSTR 9 7. TDS, ESI and PF 8. Organized maintenance of accounts 9. Monitor and analyse accounting data and produce financial reports or statements 10. Establish and enforce proper accounting methods, policies and principles 11. Coordinate and complete annual audits 12. Improve systems and procedures and initiate corrective actions 13. Establish and maintain fiscal files and records to document transactions 14. Payment-related activities - Sundry debtors and Sundry Creditors 15. Financial Year closing activities 16. Storage of Documents and maintenance of files. Other Benefits 1.ESI and PF 2.Bonus 3.Earned Leaves

Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Job Overview This is a challenging position that requires the candidate to learn and internalize Qualcomm Video Software stack. The candidate will support Video framework issues from Kernel driver, user space including Wifi display, Widevine, PlayReady. He should have knowledge of Android Video framework, GStreamer /RTSP and knowledge of H.264, H.265, MJPEG, VP9 etc. It requires the ability to understand and explain technical information in a concise manner with strong communication skills between customers and developers. Trouble shoot issues reported by customers across the Video functional area on the following sub systems- Video, Wifi Display, Video Firmware,RTSP etc. Co-work with OEM, ISVs and Algorithm vendors to debug power, performance and functional issues. Follow established software processes and procedures and contribute towards improving software quality. Be familiar with Android and Linux /Yocto’s video framework and Linux Kernel, experienced in resolving video related issues. Coordinate with internal/international technology teams about issue fixes and solutions Minimum Qualifications - Knowledge or experience of Video protocols and encoding format is very critical. - Good understanding of video encode and decode interfaces and firmware/ratecontrol options. . - Knowledge on GStreamer and Yocto V4L2 based video stack -or- Android Video stack and its implementation . - Strong skill of software integration, optimization, and debugging on embedded RTOS (Real Time Operating Systems) - Strong C/C++/ Java development and debugging skills on embedded systems - - Good communication & interpersonal skills for customer-facing role - Self-starter with motivation and initiative - Flexibility to learn and work on new Multimedia area - Ability to work as part of a dedicated project team and independently - Candidate should have good written communication skills and interpersonal skills. Be flexible to assignments and easily work in a team environment. Preferred Qualifications Experience in Yocto based Embedded systems development and Gstreamer protocol will be a strong advantage. Experience in resource constrained environment like NXP FRDM, NVIDIA ORIN , RaspberryPI or other embedded SOMs will be a good to have skill. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of any combination of academic and/or work experience with debugging techniques.

Founded in 1991, this India-based technology innovator has evolved from a modest startup into a 500+ employee-strong enterprise with a global footprint across 50+ countries. With nearly 40% of its workforce dedicated to R&D, the company designs and manufactures advanced solutions in intelligent communication systems and electronic security infrastructureranging from enterprise-grade surveillance and access management to next-gen connectivity platforms. Operating out of a world-class development and manufacturing hub in Gujarat, it partners with over 4,000 global channel associates and has served more than a million customers, including several Fortune 500 firms across sectors like automotive, logistics, healthcare, and aerospace. Known for its award-winning design excellence and Make-in-India ethos, the firm has consistently maintained strong financial performance, with annual revenues estimated between 100500 crore. This is a workplace where tech-driven minds thrive on innovation, global exposure, and tangible impact. For their Vadodara office, they are looking for Embedded Engineers Embedded Camera Domain: Designation : Embedded Software Development - Engineer/ Sr. Engineer/SME Experience : 2+ Years Qualification : B.E/B.tech/M.E/ M.tech (EC, Electronics, E&TC, CSE) Work Location : Vadodara, Gujarat (Work from office only) Working Days : Five Notice Period : 1 month Technical Skill Set Required : Hands on experience in C, Embedded C (Very strong exposure in C Programming concepts ) Linux, Basic command of Linux OS IPC – Inter Process Communication exposure is good to have (Multi-threading and Socket Programming) Good knowledge of Networking protocols like Socket Programming/ RTSP/ TCP/ IP/ ONVIF etc is an advantage Hands-on with Micro-Processors like Arm 7/9, Cortex A8/A15, Qualcomm, Intel, IMX,NXP etc will be a huge plus Good exposure with Device Drivers and Kernel Programming will be a plus. Knowledge of Hardware Peripherals is also a plus. You have good logical and problem-solving skills. Good at communication and articulation of things to all. Individual Contributor role. Responsible for the development of software as per design. Must have Skills : C programming, networking fundamentals, Socket Programming, Basic command of Linux OS, Multi-threading Good to have Skills : Camera Image Tuning, RTSP Protocol, ONVIF Protocol, Audio Codec, Video Codec, Gstreamer/Streaming, Video parsers for H.264, H.265, HTML, and Javascript, Image Processing Technique Role & Responsibilities: Individual Contributor. Responsible for the development of software as per design. Collaborate with analysts and developers to produce software designs. Formulate program specifications and basic prototypes. Transform software designs and specifications into high-functioning code in the appropriate language. Integrate individual software solutions to higher-level systems. The individual is expected to complete the given task on time. The project should be bug-free. You have good logical skills and problem-solving skills. Good in Communication and Analytical skills. Serious candidates who meet the required criteria may submit their application

We are seeking highly skilled Embedded Software Engineers with expertise in the Media Domain, specializing in Embedded C++ and Linux development. The ideal candidate will have hands-on experience in multimedia processing, video/audio streaming, and strong understanding of frameworks like GStreamer. Key Responsibilities : - Design and develop multimedia applications using Embedded C++ on Linux platforms - Implement video/audio streaming solutions using GStreamer - Work on codec integration, synchronization, and pipeline development - Optimize media performance and manage multimedia buffers - Debug, test, and maintain robust media applications in real-time environments Required Skills : - Strong proficiency in Embedded C++ and Linux internals - Deep understanding of GStreamer, multimedia streaming protocols - Experience with media encoding/decoding and buffer management Preferred : - Exposure to multimedia standards (MPEG, H.264, AAC) - Familiarity with RTSP, RTP, or similar protocols.

Prepare&file of monthly quarterly&annual GST returns(GSTR-1, GSTR-3B, GSTR-9, GSTR-9C)GST reconciliation (Books vs GSTR-2A/2B and GSTR-3B) Assistance in GST audits&assessments Responding to GST departmental notices & queries Required Candidate profile Support in GSTregistrations, amendments&cancellations Staying updated with latest GST notifications,circulars&amendments Liaising with clients or internal teams for GST-related data and clarifications

Project description This is a great opportunity to work as a part of a highly regarded team to deliver leading-edge solutions. We are looking for an experienced engineer for an exciting role to augment our Client's core Linux-embedded team to work on the latest platforms and software. The person will interact closely with key technical experts to ensure the best possible performance and results on the SoC platforms. Responsibilities Developing and optimizing GFX, Multimedia, Display, and Audio drivers according to project requirements. Collaborating with cross-functional teams for seamless integration of drivers. Conducting thorough testing, troubleshooting, and debugging of drivers. Contributing to the improvement and optimization of existing systems. Providing technical guidance and support as needed. SkillsMust have 1.Engineer with 3-8 Years of experience in embedded Linux driver/kernel development. 2.Strong C development skills. 3.Experience with any one of the driver development domain Graphics driver DRM/KMS, OpenGL, Vulkan, OpenCL, Mesa. Multi Media-Video driver Vaapi, vdpau, gstreamer, v4l2. Power Management System to RAM, S0ix3. Display Driver development X, Wayland, Weston, Display driver Experience with Audio sub-systems, Audio drivers, frameworks and ALSA SOC(ASOC), Audio protocols like I2S/TDM. Proficient in Yocto development. Virtualization Xen, KVM, QNX hypervisor knowledge. Ethernet Driver Network driver development. 4.Good working experience with IPC, DMA driver development. 5.Experience with kernel mode driver programming in Linux 6.Linux Device driver programming experience in Linux Kernel and Drivers. 7.Experience dealing with Linux community and Open Source contribution is a plus 8.System knowledge, System Debugging Nice to have Expertise with CAR Framework Automotive experience

As a R&D Specialist, this role will be responsible for designing, developing, and testing innovative software solutions using C++ and performing system testing on Linux. You have: Programming experience minimum 4+ with C++11/C++14/STL on Linux Good understanding on OOPS/OOAD concepts Strong working experience in writing multithreaded code, design patterns Good understanding of protocols such as TCP/UDP/IP, TLS, socket programming. Knowledge on REST and GRPC based API development Knowledge on Docker/Kubernetes/Microservice Knowledge on CI/CD, Familiarity of 3GPP standards in particular IMS/SIP domain. It would be nice if you also had: Exposure to LTE/5G Domain Exposure to media stack with SIP/RTP/RTCP processing, Media Codecs, Gstreamer/ffmeg libraries etc. As an R&D Specialist you will drive the development of advanced technologies, with a focus on creating cutting-edge solutions for network infrastructure, cloud technologies, and complex systems. This role will provide you with the opportunity to work on pioneering projects in collaboration with global teams, using your expertise in architecture design and research. Development of advanced technologies with a focus on creating cutting-edge solutions for network infrastructure, cloud technologies, and complex systems.

Role & responsibilities Job Title: Linux Video Lead Location: Hyderabad Department: Multimedia Software Linux Video Stack Key Responsibilities: Lead the design and development of Linux-based video driver architecture and user-space frameworks. Own the enablement and optimization of hardware video codecs (VPU/GPU) including H.264, H.265/HEVC, VP9, AV1, etc. Develop and maintain V4L2-based drivers, media controller interfaces, and buffer management frameworks. Collaborate with the hardware and firmware teams for new chip bring-up, validation, and performance tuning. Integrate and optimize multimedia frameworks such as GStreamer, FFmpeg, and OMX IL in embedded Linux environments. Drive system-level debugging, performance benchmarking, and compliance testing (CTS, GTS, etc.). Guide and mentor junior engineers, ensuring best practices in coding, testing, and documentation. Contribute to open-source communities when applicable, especially in kernel or media frameworks. Required Qualifications: Bachelors or Masters degree in Computer Science, Electronics, or a related field. 7+ years of experience in embedded Linux multimedia or video driver development. Strong hands-on experience with V4L2 , DRM/KMS, and video codecs (hardware & software). Deep understanding of Linux kernel architecture, memory management, and device tree. Proficient in C/C++ , and scripting languages such as Bash or Python. Experience in video framework integration: GStreamer , FFmpeg , or OpenMAX . Familiarity with performance profiling tools (perf, ftrace, gprof, etc.). Excellent debugging skills across kernel and user-space layers.

Common Skills Required: Proficiency in programming skills (Python/ Perl/ C/ C++). should be able to understand and make minor changes in the code. Create test strategy, detailed and well-structured test plans and test cases based on high level feature requirement. Writes functional tests for features to ensure functionality. Collaborates with others inside of project team to accomplish project objectives and improve the overall quality of the product. Develop/Enhance Tools, Application or processes to improve the Quality and Test efficiency. Participate in review and provide feedback on product feature requirements, specifications, and technical design documents. Assists in the development of test case automation scripts to improve productivity. Experience with Gitlab, Docker, Jenkins, Devops, Automated build Jenkins, Jenkin pipeline, Build application for Android, Linux, Firmware, Automated cmakes, Debugging knowledge in Python, Ruby. Good oral and written communication skills. BSP/Embedded Testing Domain [ HYD ]: Candidate to have good knowledge in ARM architecture and Trust zone, Bus protocols like UART/I2C/SPI and/or USB, Storage like eMMC, UFS. Candidate to have good knowledge on C, C++and Object-oriented concepts to write test apps and compiling the test apps. Candidate to have good experience in using automation core APIs, building test cases, and validating it on a target device. Candidate to have good experience/exposure in Linux or RTOS based Device drivers and kernel programming. Candidate should have prior experience with Linux and Device Driver unit and regression testing. Candidates to have good understanding on how to build Linux and DD, load the build on the boards, detecting boot time issues. Connectivity Domain [ BLR ]: Candidate to have good command over Operating systems Android/Linux/Windows Candidate to have good understanding of various Networking Protocols(TCP/UDP/IPv4/IPv6/, VLAN, DHCP etc.). Candidate to have good understanding of both Cellular and Wi-Fi technologies (5G/LTE/WCDMA/GSM). Candidate to have good understanding on log data analysis. Candidate to have good knowledge of Bluetooth profile like AVRCP, PBAP,A2DP,HFP,OPP,PAN,A2DP SINK. Candidate to have good WiFi Protocol knowledge on 11a/b/g/n/ac/ax. Multimedia Domain [ HYD/BLR ]: Working on audio and video codecs drivers to ensure optimal performance. Understanding and utilizing the ALSA/V4L2/GStreamer framework to enhance multimedia functionality. Having a basic understanding of image formats, image sensors, ISP, and Linux Kernel to troubleshoot and optimize multimedia applications. Good working experience in Display technology i.e MIPI DSI/HDCP/PSR/DP CTS/VGA/DVI/HDMI/HDR/Variable refresh rate/Multi Stream Transport/DSC/ DRM. Understanding of developing graphics applications using graphics API like DirectX, OpenGL ES , Vulkan, improving coverage, creating GPU bring-up test-plans and test methodologies Being an expert in automation test frameworks to ensure reliable and efficient multimedia system testing. Education Requirements: B. Tech / M. Tech (ECE / CSE)

Role & responsibilities Lead the design and development of Linux-based video driver architecture and user-space frameworks. Own the enablement and optimization of hardware video codecs (VPU/GPU) including H.264, H.265/HEVC, VP9, AV1, etc. Develop and maintain V4L2-based drivers, media controller interfaces, and buffer management frameworks. Collaborate with the hardware and firmware teams for new chip bring-up, validation, and performance tuning. Integrate and optimize multimedia frameworks such as GStreamer, FFmpeg, and OMX IL in embedded Linux environments. Drive system-level debugging, performance benchmarking, and compliance testing (CTS, GTS, etc.). Guide and mentor junior engineers, ensuring best practices in coding, testing, and documentation. Contribute to open-source communities when applicable, especially in kernel or media frameworks. Preferred candidate profile Bachelors or Master’s degree in Computer Science, Electronics, or a related field. 7+ years of experience in embedded Linux multimedia or video driver development. Strong hands-on experience with V4L2 , DRM/KMS, and video codecs (hardware & software). Deep understanding of Linux kernel architecture, memory management, and device tree. Proficient in C/C++ , and scripting languages such as Bash or Python. Experience in video framework integration: GStreamer , FFmpeg , or OpenMAX . Familiarity with performance profiling tools (perf, ftrace, gprof, etc.). Excellent debugging skills across kernel and user-space layers.

Role & responsibilities Key Responsibilities: Lead the design, development, and integration of ALSA SoC audio drivers , audio DSP firmware interfaces, and audio middleware components. Work on Linux kernel audio drivers , machine drivers, and integration of audio codecs and amplifiers. Collaborate closely with hardware, DSP firmware, and multimedia teams to enable seamless audio experiences. Interface with user-space frameworks such as PulseAudio , PipeWire , GStreamer , or Android Audio HAL . Optimize audio latency, power consumption, and performance across different use cases (voice, music, VoIP, low-power audio). Ensure compatibility with industry standards and support certification efforts (e.g., Hi-Res Audio, AOSP compliance). Lead debugging and analysis of complex issues across the audio stack (DSP kernel user space). Mentor and guide junior engineers in the team, promote best development practices, and perform code reviews. Drive contributions to open-source communities related to Linux audio if applicable. Preferred candidate profile Bachelor's or Master's degree in Computer Science, Electronics, or related field. 7+ years of experience in Linux audio systems development with strong expertise in ALSA SoC , ASoC layer, and kernel driver architecture. Hands-on experience with audio codec integration , I2S/TDM interfaces , and DMA engine configuration . Strong knowledge of audio pipelines, PCM handling, mixer controls, and device tree bindings for audio. Proficient in C , with good knowledge of Linux kernel internals and debugging tools. Experience working with audio DSPs and firmware interfaces (e.g., ADSP/Hexagon). Familiarity with audio testing tools and automation (e.g., Tinycap/Tinyplay, SoX, Audio Precision tools).

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

Job description Calculation and depositing of GST TDS, EPF and assistance for filing TDS/TCS return Purchase bill entry in tally Sales bill making and entry in tally Bank reconciliation Vendor payment Good knowledge of Preparations of Balance Sheet Required Candidate profile English: Excellent (Spoken and Written) (Sunday fix off)

Accounts Executive(Female) For Real Estate Company in Sector 50, Gurgaon, Industry Accounting Auditing Taxation Qualification B.Com Key Skills Accountant Executive Accounts GST TDS GST and TDS GStreamer BILLING Bank Reconciliation SECTOR 50 FEMALE

Conducting tax planning and tax oversight for special projects Daily Accounts RERA Compliance GST Compliance other Tax Compliance Preparing income tax returns Reviewing tax forms and make recommendations for adjustments if necessary Resolving any tax-related issues for the business or client. Maintaining strong professional relationships with businesses and clients for continued service.

Location: Surat (Vesu) Experience: 1 Year Exp in GST Return Filing & TDS Return Filing Gender : Male Salary: 17K Timing : 10 to 8 (1) Tally Prime Software (2) GST Return Filing & TDS Return Filing whatsapp ; +91 9724346949

Project description We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems. At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way. Responsibilities The engineer will be responsible for the Development, debugging, bug fixing and testing of our Xilinx embedded distribution with Yocto flows. Skills Must have Candidate should have 3-10yrs experience Good Knowledge of multimedia frameworks like v4l2 and DRM framework in Linux . Experience in Linux device drivers. Strong knowledge in C. Hands-on experience with Configuration Management tool like GIT, Perforce. Knowledge on GStreamer multimedia framework Have an interest to constantly learn and share new findings. A quality mindset, ability for strategic thinking and a drive to always improve. Self-motivated Nice to have GStreamer application development for creating multimedia pipelines Other Languages EnglishB2 Upper Intermediate Seniority Regular

About The Role Senior Computer Vision Machine Learning Engineer About Us At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms- IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasksobject detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Show more Show less

As an Embedded Engineer specializing in CCTV systems, you will be responsible for designing, developing, and optimizing embedded firmware for our range of surveillance products. Interested candidates conduct HR- 9952467010 Experience 3 years plus