41 Video Analytics Jobs

As a Lead AI ML Developer at Reverence Technologies, you will be leading a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics projects. In this full-time onsite role, located in Noida & Kochi, you will be responsible for collaborating with cross-functional teams to understand business requirements, develop project plans, and ensure the scalability and maintainability of AI/ML solutions. With over 10 years of experience, you will leverage your expertise in developing and deploying machine learning models to guide the team towards successful project outcomes. Your role will involve staying updated with the latest AI/ML research and technologies to evaluate their impact on business operations, in addition to managing team performance, providing mentorship, and fostering a positive team culture. To qualify for this position, you should have a minimum of 6 years of experience in developing and deploying machine learning models, along with at least 3 years of experience in leading machine learning teams. Strong programming skills in C++ and other relevant languages are essential, as well as familiarity with machine learning libraries such as OpenCV, OpenVino, TensorFlow, PyTorch, etc. Experience with cloud platforms like AWS, GCP, or Azure will be advantageous, along with excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.,

As a Content Creator in our planned Media Division, your role will be instrumental in helping us achieve our goal of setting up and operating our marketing efforts as a media company. Your day-to-day responsibilities will include creating compelling written and visual content across various platforms, conducting research to understand target audience needs and pain points, collaborating with cross-functional teams to incorporate industry insights, optimizing content for SEO, and tracking performance using analytics tools. To qualify for this role, you should have a Bachelor's degree in digital media, marketing, film production, or a related field (or equivalent experience). You should also have proven experience in video content creation, preferably in a media or marketing role targeting executive-level personas. Strong scriptwriting and storytelling skills are essential, along with the ability to convey complex concepts in a concise and engaging manner. Familiarity with video analytics tools, strong research skills, a creative mindset with a keen eye for visual aesthetics and storytelling techniques are also required. Additionally, you should have an in-depth understanding of CEOs, CIOs, and business leaders" needs, pain points, and challenges. Excellent organizational and time management skills are necessary, with the ability to handle multiple video projects simultaneously. You should be able to work collaboratively with cross-functional teams and develop and execute a comprehensive content strategy aligned with our goals. About Company: We partner closely with ambitious business leaders who are focused on growth. Our specialty lies in creating a "Nerve Center for Businesses" - a powerful business intelligence and decision support system designed to achieve three critical objectives. Firstly, we deliver actionable insights that drive informed decision-making, helping businesses reach their goals. Secondly, our systems enable autonomous decision-making through streamlined automation, reducing reliance on manual processes. Lastly, we cultivate a data-driven culture by empowering teams with real-time information for strategic and operational decisions. Our solutions ensure that businesses not only meet but exceed their growth targets, supported by robust data and efficient systems at every stage.,

As India's largest book publishing platform, Notion Press has been empowering writers for over 13 years by enabling them to publish and sell their books globally. With a dedicated team of over 120 professionals and plans for expansion into Southeast Asia, Europe, and North America, we are at the forefront of revolutionizing the publishing industry. In this role, you will be responsible for creating captivating and informative scripts for social media, with a focus on engaging our audience and aligning with our brand's values. You will also present video content on camera with clarity and confidence, brainstorm content ideas, research trending topics, and manage the entire content creation process from ideation to delivery. Additionally, you will monitor video performance metrics to enhance content engagement and viewer retention, staying updated with Instagram trends and best practices. The ideal candidate for this position will have 0-2 years of experience in creating video content for Instagram or similar platforms, possess a confident on-camera presence and strong verbal communication skills, demonstrate a creative mindset with a passion for storytelling, and exhibit excellent scriptwriting abilities. Familiarity with social media management, video analytics, organizational skills, and a keen interest in video trends and digital media landscapes are also essential. A portfolio showcasing presentation style and scriptwriting capabilities would be advantageous. Joining Notion Press offers a unique opportunity to work in a flat and transparent culture, collaborate with a high-growth startup leadership team, and access the best learning and development opportunities. You will have the chance to make a significant impact in a hyper-growth environment, contribute to fulfilling writers" dreams, and reach thousands of readers in India. The benefits package includes Employee Stock Options, Paid Time Off for Annual Vacations, Healthcare Insurance, Telecom Reimbursement, and more. If you are excited about the prospect of contributing to our mission of democratizing publishing and empowering writers worldwide, we look forward to hearing from you.,

You are a dynamic and solution-driven Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions by leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. As a Computer Vision Engineer at our organization, you will play a critical role in the entire lifecycle of our products, from ideation to development, production, and deployment. You will be a part of our internal Computer Vision/Video Analytics team, which specializes in applied research and is central to the perception algorithms deployed across our products. Your responsibilities will include leading and mentoring a team of engineers, collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow, integrating video analytics solutions with existing systems or platforms, executing AI algorithms using various platform-specific frameworks, troubleshooting issues, providing technical support during integration and deployment phases, and researching new technologies and methodologies to enhance video analytics capabilities. To be successful in this role, you should have a minimum of 2 years of experience and hold a qualification in B.E/B.tech/M.E/M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or a related field. You must possess good experience in Deep Learning/Computer Vision projects, working exposure with Neural networks, CNN, and experience with deep learning frameworks such as Tensorflow, PyTorch, or Keras. Additionally, having programming skills using Python and C++, exposure to projects like Object Detection/Motion Detection/Face Recognition, and experience optimizing deep learning models for embedded form factors would be advantageous. You should also have a superhuman thirst for learning and be proactive in scouting for ideas and keeping up-to-date with advancements in the field. Join our team of like-minded engineers, applied researchers, and technocrats who share the will, courage, and madness to achieve our mission of designing, developing, and manufacturing world-class technology products for customers worldwide, right from India. If you are an innovative and tech-savvy individual looking for a challenging and rewarding environment, apply now to be part of our incredible journey!,

Date 10 Jul 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.

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company in Vadodara, Gujarat, you will play a crucial role in the Software Development team focusing on IVA/Computer Vision. With a minimum of 2 years of experience and a degree in B.E/B.tech/M.E/ M.tech in EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE, or related fields, you will have the opportunity to work on cutting-edge projects that leverage deep learning and computer vision techniques to extract meaningful insights from video streams. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow. You will lead and mentor a team of engineers, participate in design reviews, integrate video analytics solutions with existing systems, and execute AI algorithms using various platform-specific frameworks like TensorRT and TensorFlow Lite. Additionally, you will research new technologies and methodologies to enhance video analytics capabilities and document your work through code documentation and technical reports. The ideal candidate for this role will have a strong foundation in Deep Learning/Computer Vision projects, with expertise in neural networks, CNN, model training strategies, and deep learning frameworks such as Tensorflow, PyTorch, or Keras. Good programming skills in Python and C++, along with experience in projects like Object Detection, Motion Detection, and Face Recognition, will be beneficial. You should also possess the ability to optimize deep learning models for embedded form factors and have a thirst for continuous learning and advancement in the field. Joining our team will provide you with the opportunity to work for an Indian Tech Company that creates innovative products for a global audience. You will be part of a challenging and rewarding environment, receive a competitive salary and other benefits, and enjoy a generous leave schedule, including company-paid medical insurance for the whole family. If you are an innovative and tech-savvy individual looking to make a significant impact in the field of computer vision and AI, we encourage you to apply and be part of our dynamic team.,

B.E./B.Tech with 4+ years in Pre-Sales/Solution Design Strong knowledge of VMS, Command Center Solutions, AI-based Analytics, and IT Infrastructure Hands-on with PowerPoint, Excel, and technical documentation Excellent communication skills

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. 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.

Role & responsibilities: Create engaging video content for social media platforms including Instagram, Facebook, YouTube, LinkedIn, and X (Twitter). Design visually appealing graphics for posts, stories, ads, and thumbnails, ensuring brand identity consistency. Develop motion graphics and animations to enhance video content. Edit and refine videos using Adobe Premiere Pro or similar tools, adding effects, transitions, sound, and captions. Utilize After Effects or similar tools for advanced animation and motion graphics. Perform audio editing and mixing using Adobe Audition or similar tools to ensure high-quality sound. Stay updated on the latest social media trends and platform-specific standards . Collaborate with the marketing team to develop creative concepts for campaigns. Manage multiple projects simultaneously while adhering to deadlines . Optimize video content for various formats and resolutions required by different platforms. Preferred candidate profile Proven experience as a Video Creator, Motion Graphic Designer, or similar role. Proficiency in Creative Suite: (After Effects, Premiere Pro, Audition, Photoshop, Illustrator), Figma Strong understanding of video formats, codecs, and best practices for social media. Knowledge of current trends in social media and digital marketing. Excellent storytelling skills with a focus on visual aesthetics. Ability to manage multiple projects and work under tight deadlines. Strong communication skills and a collaborative mindset. A portfolio showcasing video and graphic design projects is required. Knowledge of YouTube SEO and video analytics is a plus. Familiarity with live streaming and video production equipment is a plus. The ideal candidate will have a strong background in graphic design, video editing, and motion graphics, with a passion for creating compelling content tailored for various social media platforms. If you have a keen eye for design, a knack for storytelling, and expertise in tools like After Effects, Premiere Pro, & Audition or similar tools.

Teamware Solutions is seeking a skilled professional for the Intelligent Video Surveillance & Analysis role. This position is crucial for leveraging advanced video technologies to enhance security, optimize operations, and derive actionable insights from visual data. You'll work with relevant technologies, ensuring smooth operations, and contributing significantly to business objectives through expert analysis, development, implementation, and troubleshooting within the Intelligent Video Surveillance & Analysis domain. Roles and Responsibilities: System Design & Architecture: Participate in the design and architecture of intelligent video surveillance systems, including camera selection, placement, networking, and storage solutions. Video Analytics Implementation: Configure, deploy, and manage advanced video analytics applications (e.g., object detection, facial recognition, behavior analysis, license plate recognition, crowd analysis, anomaly detection). System Integration: Integrate video surveillance systems with other security platforms (e.g., access control, alarm systems, VMS - Video Management Systems) and business intelligence tools. Data Analysis & Insights: Analyze video footage and data generated by surveillance systems to identify security threats, operational inefficiencies, and business trends. Generate reports and provide actionable insights. Performance Optimization: Monitor the performance and health of video surveillance systems and analytics platforms. Optimize configurations to ensure efficient processing and accurate results. Troubleshooting: Perform in-depth troubleshooting, debugging, and issue resolution for complex problems within the intelligent video surveillance infrastructure and analytics software. Proof of Concept (PoC) & Evaluation: Research and evaluate new video surveillance technologies, AI/ML models, and analytical tools. Conduct PoCs to assess their suitability for business needs. Policy & Best Practices: Contribute to developing and enforcing policies and best practices for video surveillance data retention, privacy, and security. Collaboration: Work closely with security teams, operations, IT infrastructure, and potentially law enforcement to support various initiatives and investigations. Preferred Candidate Profile: Video Surveillance Expertise: Strong understanding and hands-on experience with modern video surveillance systems (IP cameras, NVRs, VMS). Video Analytics Knowledge: Solid experience with implementing and managing intelligent video analytics solutions and platforms. Networking Fundamentals: Good knowledge of networking concepts (TCP/IP, bandwidth, routing) as they pertain to video streaming and surveillance infrastructure. AI/ML Concepts (Plus): Basic understanding of AI/Machine Learning principles related to computer vision and video analysis is a significant advantage. Problem-Solving: Excellent analytical and problem-solving skills with a proactive approach to identifying and resolving technical and operational challenges. Technical Tools (Plus): Familiarity with relevant software tools for video processing, analysis, or scripting (e.g., Python, FFmpeg) is a plus. Communication: Strong verbal and written communication skills to articulate technical concepts and findings clearly to both technical and non-technical audiences. Education: Bachelor's degree in Computer Science, Electrical Engineering, Security Management, Information Technology, or a related technical field.

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

1 Should have knowledge of Video Creation while using AI Tools 2 depth understanding of latest AI tools with regards to video editing / creation 3 Should be enthusiastic and egar to learn new things. Job Location: Santacruz

Roles and Responsibilities Execute overall sales strategy in the country / region and facilitate sustainable business development; Responsible for customer / user development in the region, looking for business opportunities, promoting company's products and the value of the problem solving solutions. Execute business development plans for relevant customers and visit customer on a regular basis, organize relevant product technical and business training. Ensure work plans are in high synchronization with customer, in order to have a long-term and win-win cooperation. Responsible for coordinating and solving the problems during business collaboration, continuously improve customer satisfaction. Complete the business data accumulation using sales tools, regularly assess and analyze the improvements could make in business implementation, and adjust business strategy for higher challenges. Required candidate Bachelor's degree or above; Computer, electronics, communication, automatization or marketing majors are preferred. Have 3 to 5 years and above experience in CCTV, tele communication, automatization industry, key Customer sales experience or integration project sales experience Problem solving oriented , honest, pragmatic and responsible, highly enthusiastic and a team player; Good communication skills, English can be used as working language Knowledgeable in sales and customer relationship processes.

-Design, develop, maintain components of Apple Player SDK. -Optimize video streaming performance, latency, and quality. -Troubleshoot streaming, buffering, DRM issues -Strong in Swift, Objective-C, UIKit -Deep exp in native iOS & tvOS development Required Candidate profile -Proficiency in AVFoundation, HLS, and video playback -Understanding of MVVM/MVP, SOLID principles -Familiar with CI/CD, automated testing, Agile -Video analytics, DRM (FairPlay, Widevine) is plus

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

Role Description The External Monitoring Group (EMG) is an independent Level 1 control function performing trading surveillance across the Bank.Located within Financial Crime Risk Compliance Business Control Oversight - (FCRC-BCO), EMG is closely aligned with front office whilst maintaining segregation to perform a review and challenge control reviewing the Account Activity Review (AAR) attestations and Expected Nature and Purpose of Relationship (ENPR) submissions performed by the Accountable Client Owners as well as Transaction Monitoring (TM) Alerts. This function needs to be performed in order to ensure the Bank meets its regulatory targets related to the Know Your Client (KYC) program. The function leverages an automated solution built to result in exceptions which then need to be investigated Youll be working on an industry leading anomaly detection platform that uses innovative solutions involving Artificial Intelligence (AI) and Machine Learning (ML). You would leverage your strong product knowledge to conduct analysis of Corporate and Investment Bank product transactions, providing insights into trends and client behavior across all businesses and regions. You would manage risk cases covering investigation and follow up within the defined timeframes. You would apply this analysis to refine and improve Key Risk Indicators used in the platform (including definition and acceptance testing). You would guide and mentor a team of surveillance analysts. What well offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy. Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Perform investigations of alerts and review Business submissions and escalate to other control functions per defined process. Perform Quality Control review for AAR, ENPR and TM alerts. Identify opportunities for improving data quality, reducing noise and false positives reported by the tooling in partnership with Technology teams. Process ad-hoc support for requests from Business, KYC Ops or the Control functions for granular information and reports relating to Trading behavior / activity. Be an active part of global projects in the surveillance space. Your skills and experience A minimum 8 years of experience in financial crime investigations, AML (Anti-Money Laundering), Transaction Monitoring, overseeing suspicious activity, having Investment Banking and/or Corporate Banking product knowledge. Knowledge of Investment Banking like Derivatives products of Rates, Equity, FX etc., and Corporate Banking like Cash, Trade Finance, Security Services etc., is an add on experience. Any previous experience in AAR and ENPR or TM is as add on experience too. Hands-on experience in working in a core RTB environment handling high volumes and meeting aggressive deadlines. Strong collaboration skills, attention to details and pro-active ability to work on change programs (providing requirements, testing, being agile etc.). Strong risk management capabilities and excellent understanding of the controls relating to the complete trade life cycle. An ability to work independently to solve business problems, an inquisitive nature, a willingness to ask questions and challenge, ability to work in fast-paced environment. Collaborate with different teams and guide and mentor more junior team members. Excellent communication skills in English and German language with good proficiency with tools like MS Excel, MS Power Point

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunit. yJoin our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. . Role Overvi. ewAs a Computer Vision Engineer, you wil. l:Design, train, and deploy computer vision models for specific business applicatio. nsWork with image, video, or 3D data to extract insights and automate workflo. wsCollaborate with teams to integrate CV models into scalable produc. ts. What You’ll. DoBuild and fine-tune models for classification, detection, segmentation, tracking, or. OCRUse libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or Y. OLOPreprocess and augment datasets to improve model robustn. essDeploy models using APIs, edge devices, or cloud-based inference to. olsMonitor performance and continuously optimize for accuracy and sp. eed. Technical Requirem. ents3+ years of experience in computer vision or deep lear. ningProficient in Python and frameworks like PyTorch, TensorFlow, or K. erasExperience with OpenCV, scikit-image, and image/video processing pipel. inesFamiliarity with model deployment using ONNX, TensorRT, or cloud serv. icesBonus: experience with real-time CV, synthetic data, or 3D vi. sion. What We’re Lookin. g ForA hands-on developer who can take vision-based problems from idea to produ. ctionA freelancer who enjoys working with data-rich products and diverse use. casesSomeone who can collaborate with both technical and product teams to deliver real i. mpact. Why J. oin UsWork on challenging computer vision projects across indu. striesFully remote and flexible freelance opportu. nitiesGet matched with future roles in CV, AI, and edge depl. oymentJoin a growing network solving real-world problems with intelligent vision s. ystems. Ready to bring vision to life? Apply now to become a Computer Vision Engineer with. BeGig.. Show more Show less

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

CCTV TECHNICIANS WITH OPTICAL FIBER EXPERT-10 NOS QUALIFICATION- DIPLOMA OR ITI WITHMINIMUM 4 YEARS GCC EXPERIENCE IS AN ADDED ADVANTAGE. Responsibilities Install, maintain, and repair CCTV systems and related equipment. Conduct site surveys to determine the best placement for cameras and equipment. Troubleshoot and resolve issues with existing CCTV systems. Provide technical support and training to clients on the use of CCTV systems. Collaborate with team members to ensure timely completion of projects. Keep accurate records of installations and service calls. Skills and Qualifications 4-12 years of experience in CCTV installation and maintenance. Proficient in the installation of various types of CCTV cameras and DVR/NVR systems. Strong understanding of IP networks and basic networking concepts. Familiarity with video surveillance software and systems configuration. Ability to read and interpret electrical schematics and blueprints. Good communication skills and ability to work with clients and team members. Certifications in CCTV or security systems (preferred).

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com