26 Video Analytics Jobs

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Role Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience 2+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual, Look no further. Click on Apply and we will reach out to you soon!

Date 11 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Assurance & Quality (AQ) Engineer DepartmentQuality Assurance / Engineering LocationRemote Role Purpose: To ensure the highest quality standards are met for live streaming and video surveillance solutions, especially in CCTV systems. The AQ Engineer will be responsible for validating compliance with STQC (Standardization Testing and Quality Certification) norms and will perform thorough testing and verification of live video streaming functionalities, encoding/decoding quality, latency, resilience, and compatibility. Key Responsibilities: Conduct functional, performance, and security testing on live streaming and CCTV video systems. Ensure systems comply with STQC guidelines, including for government-grade video surveillance. Validate end-to-end video streaming workflows – capture, encoding, transmission, and playback. Test latency, frame rate consistency, resolution standards, and night vision capabilities. Ensure compatibility across various video codecs (H.264, H.265), streaming protocols (RTSP, RTMP, ONVIF). Develop and maintain automated test scripts for regression and stress testing of video systems. Collaborate with development, network, and security teams to resolve quality issues. Conduct compliance and certification testing to ensure product readiness for deployment. Generate quality reports, issue logs, and root cause analysis documentation. Required Skills & Experience: Bachelor’s Degree in Electronics, Computer Science, or related discipline. STQC Certification or experience working with STQC standards is mandatory . 3–6 years of experience in QA for video surveillance, CCTV, or live streaming environments. Strong understanding of video streaming protocols and CCTV camera technologies. Familiarity with tools like Wireshark, VLC, ONVIF Device Manager, and IP video testers. Experience with CCTV integration platforms, video analytics, and storage systems (NVR/DVR). Good scripting skills (Python, Shell) for test automation preferred. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Knowledge of cybersecurity practices for video surveillance. Experience with cloud-based video management systems (AWS Kinesis Video, Azure Media Services). Exposure to AI-based video analytics and real-time video alert systems. Key Performance Indicators (KPIs): Number of defects identified pre-production Compliance rate with STQC guidelines Stream quality consistency (uptime, resolution, frame drop rate) Test automation coverage and execution speed Turnaround time for issue resolution

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, automobiles, computing devices. IoT devices and XR devices. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. Join Qualcomm and become part of the growing visual technology systems team that innovates to bring the higher performance on visual technologies at the lowest power consumption and device cost, while providing the strongest feature differentiation. We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing, video codec architecture/design and computer vision. Successful candidates will be part of a visual technology systems team that develops embedded camera and imaging solutions, image signal processor (ISP), visual analytics and video codec IPs as well as advanced algorithms for computer vision and image/video processing to address different Qualcomm businesses. ResponsibilitiesThe job responsibilities may include a subset of the following: Overall engineering lead for the project responsible for on-time delivery of Visual technology IPs including architecture, systems design, hardware, software, documentation, and tools that meet power and performance KPIs along with product requirements and stability to enable the launch of products. Key traits Constant engagement Very high availability Prioritization Provides clarity Attention to detail and tracking of key issues Leadership by example Minimum qualifications Bachelor's degree in Science, Engineering, or related field. 8+ years experience in integrated chipset architecture, systems engineering, HW/SW design Strong knowledge of IP development life cycle from concept to commercialization Cross functional lead who can effectively work across the teams. Preferred qualifications: Background in digital signal processing Background in image processing algorithms, color science and image signal processor pipelines, video codecs and video analytics is a plus. Educational requirements: RequiredBachelors in Computer science or Electrical & Computer Engineering PreferredMas ter s in Computer science or Electrical & Computer Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Job Title: C++ Developer, Software Engineer Location: Pune, India (Full-time | Work From Office) Experience Required: 1 to 2 years Key Skills: C++, Linux, Multithreading, Socket Programming, OOPS, AI/ML, Computer Vision About IntelliVision IntelliVision is a global leader in AI-based video analytics solutions , specializing in: Face Recognition Vehicle Detection and Classification License Plate Recognition (LPR/ANPR) Intelligent Video Analysis Advanced Driver Assistance Systems (ADAS) Parking & Traffic Managemnt Our advanced technologies power smart cities, smart homes , security and surveillance and transportation systems worldwide. Website: www.intelli-vision.com Job Summary We are seeking a talented C++ Developer with a strong foundation in: C++ Programming Linux-based Development Multithreading and Socket Programming OOPS Concepts Exposure to AI/ML and Computer Vision is a plus Key Responsibilities Develop and maintain C++ applications in Linux environments Implement high-performance, multithreaded solutions Work with socket programming and network-based communications Collaborate with AI/ML teams for integration Debug, optimize, and enhance software components Participate in code reviews and design discussions Requirements 12 years of experience in C++ development Strong knowledge of Linux, multithreading, and socket programming Good understanding of OOPS concepts Exposure to AI/ML and computer vision (preferred) Bachelors degree in Computer Science or related field Thanks and Regards, Pooja Khandelwal Email: pooja.khandelwal@intelli-vision.com IntelliVision Technologies Pvt. Ltd. https://www.intelli-vision.com

Hi All Greetings from Ontime Solutions Immediate hiring for Data Scientist Exp-4yrs to 8yrs Loc- Bangalore Computer Vision & Image Processing Strong knowledge of object detection, image segmentation, feature extraction, and optical flow. Familiarity with tools like OpenCV, Dlib, and MediaPipe for real-time vision processing. Experience with GANs (Generative Adversarial Networks) for image generation or style transfer tasks. Model Architectures Expertise in designing and deploying CNNs, RNNs, Transformers, and hybrid models. In-depth understanding of model architectures for multimodal data fusion (e.g., combining audio-video inputs for predictive models). Edge Computing & Embedded Systems Experience deploying and optimizing models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, Intel Movidius). Familiarity with frameworks like TensorFlow Lite, OpenVINO, or TensorRT for model deployment on edge hardware. Ability to work with microcontrollers and edge AI platforms, optimizing performance for low-power and low-latency Hybrid Immediate joiners only If you are interested, share me your resume to hrd9@ontimesolutions.in or call 7204275811

IT Associate Admin and Multitasking Computer Expert Good Communication CCTV Monitoring Urgent Immediate Joining

The Intelligent Video Surveillance & Analysis role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Intelligent Video Surveillance & Analysis domain.

The Intelligent Video Surveillance & Analysis role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Intelligent Video Surveillance & Analysis domain.

The Intelligent Video Surveillance & Analysis role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Intelligent Video Surveillance & Analysis domain.

Role & responsibilities Lead the presales function and manage a team of presales engineers across regions. Understand customer requirements and design optimal technical solutions based on IES's product and service portfolio. Prepare solution architecture, technical proposals, SLDs, BOQs, compliance statements, and presentations for client meetings. Support the sales team in technical discussions, demos, and client interactions. Collaborate with project execution, procurement, and commercial teams for smooth project handovers. Engage with OEMs and vendors to stay updated on technology trends and product knowledge. Contribute to tender preparation, compliance matrix filling, and value engineering suggestions. Support recruitment and training of presales team members as the team scales. Ensure delivery of accurate, competitive, and timely technical solutions for ELV, security, networking, structured cabling, fire alarm, access control, Wi-Fi, IP PA systems, and video analytics. Conduct periodic reviews of presales processes and propose improvements to align with organizational goals. Preferred candidate profile Experience: Minimum 5 to 8 years in presales, technical consulting, or solution engineering, preferably in system integration or technology infrastructure industries. Educational Qualification: B.E / B.Tech / Diploma in ECE, CSE, IT or a related discipline. Technical Expertise: Strong domain knowledge in ELV systems including IP CCTV Surveillance , Fire Alarm Systems , Access Control , EPABX & Intercom , Public Address (IP PA) Systems , and Video Analytics . In-depth understanding of Networking , Enterprise Wi-Fi Deployment , Switching & Routing , and Firewall Configurations . Proficiency in Structured Cabling , Fiber Termination , Rack Design , and Network Infrastructure Planning . Skills & Abilities: Proven ability to design end-to-end integrated solutions based on client requirements. Capability to manage presales documentation such as BOQs, Compliance Sheets, SLDs , and Technical Proposals . Excellent communication and presentation skills to interact with corporate clients and support the sales team effectively. Ability to lead technical discussions, provide value engineering, and evaluate RFPs/RFQs. Strong collaboration with internal teams (sales, execution, procurement) and external vendors. Salary and Allowances: The monthly CTC will range from Rs. 40,000 to Rs. 65,000, depending on skill set,experience, and capacity. Additional Allowances: Mediclaim coverage for the employee and their family. Official mobile SIM card for voice and data will be provided. Incentives and performance bonuses will be provided additionally. Travelling allowance will be paid separately.

Job Area: Engineering Group, Engineering Group > Software Applications Engineering General Summary: Mandatory skills of C/C++ programming and operating systems. Experience with Camera drivers and controllers, preferably with Linux V4L2 driver model. Working knowledge of MIPI-CSI-2 and PHY specification; Working experience with bus protocols such as I2C/SPI. Experience in driver design and implementation with multiple camera vendor sensors such as - Sony, Aptina, OmniVision; Experience with FPDLINK/GMSL2 serializer/deserializers, CVBS, analog cameras. Familiarity with camera imaging pipeline such as 3A (focus/white balance/exposure), HDR, color correction, etc., is a plus. Exposure to Video pre- and post-processing algorithms, motion compensation & estimation, deinterlacing, etc., for subjective quality enhancement is a plus. Knowledge of computer vision, Video Analytics (facial recognition, object recognition) is a plus. Knowledge of one or more Real-Time Operating Systems is preferredwhich includes Android, QNX, Embedded Linux. Solid understanding of ARM assembly language and low-level software/hardware interface design, JTAG based debugging is a plus. Exposure to Hypervisors and Virtualization is a plus. Fluent in industry standard software development toolsdebuggers, code revision control systems (GIT, Perforce), IDEs and build tools. 10+ years Software Engineering or related work experience. 2+ years in a technical leadership role with or without direct reports. Possess 3-yrs to 7-yrs of experience in embedded software development. Good work experience in embedded software and/or driver development. Candidate should be detail-oriented and have strong analytical and debugging skills, strong communication skills (written and verbal), working with teams across multiple time zones. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ 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 3+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. 2+ years of experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of experience with debugging techniques. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions. How do they use it? Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology. Responsibilities : We're building a brand-new Streaming Operations team in Bangalore as part of our wider global Video Operations team and we're looking for enthusiastic individuals to help launch and shape this critical function. As a Streaming Operations Analyst at Stats Perform, you'll play a key role in overseeing the technical delivery of live sports broadcasts from around the world. You'll be responsible for monitoring transmission quality, identifying and resolving issues in real time and ensuring our live output meets the highest standards of quality and reliability. The ideal candidate will embrace our rotational shift schedule, bolstering our ability to deliver services flawlessly at any given moment. While basic grasp in IP video workflow experience is beneficial, a knack for thriving in bustling live broadcast environments is equally vital. Responsibilities includes: Live Broadcast Management: Manage all technical aspects of live video broadcasts, including signal routing, keeping track of timings and line-up configurations as well as video and audio specifications requirements. Monitoring and Quality Assurance: Monitor video and audio signals to ensure optimal quality throughout live broadcasts. Perform regular quality checks and troubleshooting to address any issues promptly. Equipment Operation: Operate and maintain our state-of-the-art tool set thats required for video delivery. Support: Provide technical support to consumers during live events, troubleshooting technical issues and implementing solutions in real-time. Emergency Response: Act quickly and decisively to resolve/escalate any technical emergencies or disruptions that may occur during live broadcasts, including communicating with internal stakeholders and global content suppliers minimizing downtime and ensuring uninterrupted transmission. Documentation and Reporting: Maintain detailed records of broadcast activities, technical configurations and troubleshooting procedures. Generate reports as necessary to document incidents and track performance metrics. Collaboration: Collaborate closely with other team members, including Streaming Ops Specialists, Video Engineers, Planning/Scheduling to coordinate live broadcasts effectively and ensure smooth operation of the facility. This position will require you to work nights, public holidays and weekends as part of our 24/7/365 operation. Note: The above job description is intended to outline the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all responsibilities, duties and skills required. Management reserves the right to modify, add or remove duties and to assign other duties as necessary. Desired Qualifications: Remains calm and focused in a high-pressure, fast paced environment, especially when unexpected issues arise during live broadcast Communicates concisely and confidently using a calm, professional tone with the ability to relay critical information quickly and without ambiguity. Works effectively as part of a cohesive team, managing responsibilities while supporting peers to ensure smooth, coordinated operations. Demonstrates consistent reliability and professionalism while on shift, contributing to a stable and trusted environment. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Design and implement VMS and CCTV solutions for various projects, Conduct site surveys and assessments to determine system requirements. Proven experience with VMS platforms regards Neetu Sharma (HR) 9289321004 neetu.sharma@orbitouch-hr.com

Role Senior/Junior Data Scientist /Senior Software Engineer Educational Qualification:- Bachelor of Technology in Computer Science or related field Years of Experience : 4-10 Years Location:- Bangalore or Kochi ( Both location Work From Office) # of Positions Multiple (includes Junior and Senior Data Scientist Positions) Required Skills: Senior Data Scientist - Out of 7+ total years of Experience, 5+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Junior Data Scientist - Out of 4+ total years of Experience, 2+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Fluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production setting Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library) Experience with SQL databases and SQL queries Self-starting, with the interest and passion to contribute in a fast-paced start-up like environment Experience working on or with cloud platforms (AWS, GCP, Azure) Very Good understanding of DevOps Roles and Responsibilities Build, deploy, monitor, and manage Machine Learning models Identify valuable input features and implement a means for calculating them (feature engineering) Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of Terawe Transition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniques Map customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new features

5+ years of exp in developing and deploying machine learning models & Team Lead. Programing Language: C++/Python OpenCV, OpenVino, TensorRT, TensorFlow, PyTorch, NVIDIA Deepstream SDK, etc. Cloud: AWS/GCP/Azure. Video Analytics/Image Processing.

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

Conduct site surveys to assess client needs and determine optimal camera placement. Develop detailed project plans including timelines, budgets, resource allocation, and scope of work. Prepare project documentation including technical specifications, system diagrams, and installation plans. Assemble and lead a project team consisting of technicians, installers, electricians, and subcontractors. Delegate tasks, monitor progress, and address technical issues during installation. Ensure adherence to safety guidelines and best practices on-site. Oversee the installation of CCTV cameras and infrastructure according to project plans. Conduct system testing and commissioning, including image quality checks, network connectivity, and recording functionality. Troubleshoot any technical issues during installation and address concerns promptly. Maintain open communication with clients, providing regular project updates and addressing their concerns. Maintain detailed project documentation including technical specifications, installation reports, and as-built drawings. Strong understanding of CCTV technology, including camera types (analog, IP), network infrastructure, recording systems, and video analytics. Proven experience managing complex projects with the ability to meet deadlines and budget constraints. Excellent communication and interpersonal skills to effectively lead and motivate a team. Ability to build strong relationships with clients and understand their needs. Ability to read and interpret blueprints and technical drawings. Location : - Punjab, Delhi,

Conduct site surveys to assess client needs and determine optimal camera placement. Develop detailed project plans including timelines, budgets, resource allocation, and scope of work. Prepare project documentation including technical specifications, system diagrams, and installation plans. Assemble and lead a project team consisting of technicians, installers, electricians, and subcontractors. Delegate tasks, monitor progress, and address technical issues during installation. Ensure adherence to safety guidelines and best practices on-site. Oversee the installation of CCTV cameras and infrastructure according to project plans. Conduct system testing and commissioning, including image quality checks, network connectivity, and recording functionality. Troubleshoot any technical issues during installation and address concerns promptly. Maintain open communication with clients, providing regular project updates and addressing their concerns. Maintain detailed project documentation including technical specifications, installation reports, and as-built drawings. Strong understanding of CCTV technology, including camera types (analog, IP), network infrastructure, recording systems, and video analytics. Proven experience managing complex projects with the ability to meet deadlines and budget constraints. Excellent communication and interpersonal skills to effectively lead and motivate a team. Ability to build strong relationships with clients and understand their needs. Ability to read and interpret blueprints and technical drawings. Location-Mumbai,Kolkata,Guwahati,Delhi / NCR,Punjab,

Job Description: - Conduct site surveys to assess client needs and determine optimal camera placement. - Develop detailed project plans including timelines, budgets, resource allocation, and scope of work. - Prepare project documentation including technical specifications, system diagrams, and installation plans. - Assemble and lead a project team consisting of technicians, installers, electricians, and subcontractors. - Delegate tasks, monitor progress, and address technical issues during installation. - Ensure adherence to safety guidelines and best practices on-site. - Oversee the installation of CCTV cameras and infrastructure according to project plans. - Conduct system testing and commissioning, including image quality checks, network connectivity, and recording functionality. - Troubleshoot any technical issues during installation and address concerns promptly. - Maintain open communication with clients, providing regular project updates and addressing their concerns. - Maintain detailed project documentation including technical specifications, installation reports, and as-built drawings. - Strong understanding of CCTV technology, including camera types (analog, IP), network infrastructure, recording systems, and video analytics. - Proven experience managing complex projects with the ability to meet deadlines and budget constraints. - Excellent communication and interpersonal skills to effectively lead and motivate a team. - Ability to build strong relationships with clients and understand their needs. - Ability to read and interpret blueprints and technical drawings. Location - Delhi, Mumbai, Guwahati, Kolkata

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, automobiles, computing devices. IoT devices and XR devices. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. Join Qualcomm and become part of the growing visual technology systems team that innovates to bring the higher performance on visual technologies at the lowest power consumption and device cost, while providing the strongest feature differentiation. We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing, video codec architecture/design and computer vision. Successful candidates will be part of a visual technology systems team that develops embedded camera and imaging solutions, image signal processor (ISP), visual analytics and video codec IPs as well as advanced algorithms for computer vision and image/video processing to address different Qualcomm businesses. Responsibilities:The job responsibilities may include a subset of the following: Overall engineering lead for the project responsible for on-time delivery of Visual technology IPs including architecture, systems design, hardware, software, documentation, and tools that meet power and performance KPIs along with product requirements and stability to enable the launch of products. Key traits Constant engagement Very high availability Prioritization Provides clarity Attention to detail and tracking of key issues Leadership by example Minimum qualifications: Bachelor's degree in Science, Engineering, or related field. 8+ years experience in integrated chipset architecture, systems engineering, HW/SW design Strong knowledge of IP development life cycle from concept to commercialization Cross functional lead who can effectively work across the teams. Preferred qualifications: Background in digital signal processing Background in image processing algorithms, color science and image signal processor pipelines, video codecs and video analytics is a plus. Educational requirements: Required:Bachelors in Computer science or Electrical & Computer Engineering Preferred:Mas ter s in Computer science or Electrical & Computer Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Conduct site surveys to assess client needs and determine optimal camera placement. Develop detailed project plans including timelines, budgets, resource allocation, and scope of work. Prepare project documentation including technical specifications, system diagrams, and installation plans. Assemble and lead a project team consisting of technicians, installers, electricians, and subcontractors. Delegate tasks, monitor progress, and address technical issues during installation. Ensure adherence to safety guidelines and best practices on-site. Oversee the installation of CCTV cameras and infrastructure according to project plans. Conduct system testing and commissioning, including image quality checks, network connectivity, and recording functionality. Troubleshoot any technical issues during installation and address concerns promptly. Maintain open communication with clients, providing regular project updates and addressing their concerns. Maintain detailed project documentation including technical specifications, installation reports, and as-built drawings. Strong understanding of CCTV technology, including camera types (analog, IP), network infrastructure, recording systems, and video analytics. Proven experience managing complex projects with the ability to meet deadlines and budget constraints. Excellent communication and interpersonal skills to effectively lead and motivate a team. Ability to build strong relationships with clients and understand their needs. Ability to read and interpret blueprints and technical drawings. Location - Punjab, Delhi.