204 Ffmpeg Jobs - Page 6

We are looking for a versatile Software Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision. This role also requires experience with video data integration and the ability to combine multiple tools and technologies into a cohesive desktop software application. You will work on performance-critical software solutions that blend real-time vision and AI/ML capabilities with modern UI/UX experiences. The ideal candidate is comfortable working with a variety of programming languages, frameworks, and platforms—whether Python-based or compiled languages like C++ or C#. - Design, develop, and maintain robust PC applications that integrate machine learning and computer vision capabilities. - Build real-time video data pipelines for processing, analysis, and visualization across diverse applications. - Develop, train, and deploy AI/ML models and integrate them into production-grade desktop software. - Combine multiple components—including SDKs, APIs, and standalone tools—into a single, well-structured desktop application. - Work with UX/UI designers, product teams, and system engineers to deliver intuitive and high-performance software. - Ensure code quality, modularity, and performance optimization in complex, data-intensive applications. - Stay up to date with developments in ML, CV, and video technologies and assess their relevance to the product roadmap. ► Mandatory Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of professional software development experience. - Strong programming skills in one or more general-purpose languages such as Python. - Solid understanding of machine learning and computer vision, including hands-on experience with tools like TensorFlow, PyTorch, OpenCV, ONNX, etc. - Experience working with video data streams, including decoding, processing, and integrating into applications (e.g., using FFmpeg, GStreamer, Media Foundation, etc.). - Experience integrating third-party tools, SDKs, or APIs into cohesive desktop solutions. - Familiarity with multithreading, performance optimization, and real-time system constraints. ► Preferred Qualifications - Experience with GPU programming (CUDA, DirectML, Vulkan) and hardware acceleration. - Familiarity with C++, C#. - Knowledge of application architecture patterns and modular software design. - Prior experience in domains such as surveillance, healthcare, industrial automation, automotive, or video analytics. - Familiarity with building desktop applications using frameworks like Qt, WPF, .NET, Electron, or cross-platform toolkits.

Position: Senior Engineer / Technical Lead (C++ Linux, Audio-Video streaming) Job Description: Job Description What You'll Be Doing Responsible for design and development of real time embedded software/firmware on Linux Platforms To Analyse domain specific technical or low level requirement and modification as per end customer or system requirement. Participate in high level requirements analysis, High level and low level software design Perform software testing including unit, functional and system level testing Performs code review following coding guidelines and static code analysis Troubleshoots software problems which are complex in nature. Documenting technical deliverable like software specifications, design document, code commenting and unit test cases, Release note etc. throughout the project life cycle. Follow defined process for software Development life cycle Develops software solutions from established programming languages or by learning new language required for specific project. Develop new approaches to complex design problems. Responsible for code and design reviews for the code / design developed by subordinates / peers Technical stakeholder communication (knowing pules of customer, proactive in communication in right way, identifying potential escalation scenarios and pre-emptively handling them) Mentoring and team building What Are We Looking For Should be proficient in using C and C++ language on embedded platforms Linux, OOPS fundamentals should be very strong. Working knowledge on media products with audio and video interfaces Must have strong fundamental knowledge of audio formats, video formats, encoding / decoding standards, streaming protocols, multimedia frameworks MUST have Strong knowledge of streaming protocols like RTP, RTSP, RTCP, WebRTC, P2P Tunneling. Must have strong fundamental knowledge of Multi-threaded, Multi Process event driven architecture-based Linux application development with IPC concepts Strong knowledge of multimedia framework such as ffmpeg, gstreamer, live555 Basic knowledge of H264, H265, MP4 and Fragmented MP4, G711, G726, AAC, WAV and mp3 formats Experience working with development tools like Codec analyzes, Audio/Video Analyzers, GIT, SVN, JIRA. Strong sense of ownership, passionate, fast learner, analytical mind set, perfection seeker. Location - Ahmedabad, Pune Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services

About the Role: Join a leading organization’s digital transformation as a Full Stack Developer (React / Node.js / Python GCP) , building scalable, AI-powered web applications that modernize critical processes in Sales, Distribution, and Finance. You'll lead end-to-end development—from architecture to deployment—delivering automation-driven solutions that improve efficiency and drive growth. Collaborate with cross-functional teams to create robust, user-centric platforms aligned with the company’s digital roadmap. We seek hands-on expertise in React, Node.js, RESTful APIs, and cloud services (preferably GCP). Experience with AI/ML integration, serverless architecture, CI/CD, and CRM or Lead-to-Cash systems (e.g., Salesforce) is highly valued. A consultative, solution-oriented mindset is key. Why Join Us? · Opportunity to contribute significantly to the digital transformation initiatives of a leading media organization. · Collaborate with a passionate, innovative, and cross-functional team. · Enjoy a creative, dynamic work environment with excellent growth and learning opportunities. Roles & Responsibilities : · Design, develop, and maintain full stack applications across multiple platforms. · Build robust and reusable APIs for internal and external use. · Implement AI-driven features such as recommendation systems, classification engines, or computer vision components. · Manage image and video processing pipelines for media-rich applications. · Develop custom CMS solutions tailored for content-heavy websites or SaaS platforms. · Collaborate with UI/UX designers, frontend/backend developers, QA engineers, and DevOps teams. · Communicate directly with business owners and product managers to gather requirements and translate them into functional deliverables. · Ensure performance, scalability, and security best practices in development and deployment. · Mentor junior developers, perform code reviews, and lead technical discussions. Experience Required: · 6 to 10 years of hands-on experience in full stack development. · Proven ability to lead projects from concept to deployment, especially in domains involving AI, media, and CMS. Technical Skills Required: Frontend Development: · HTML5, CSS3, JavaScript (ES6+), Bootstrap · React.js · Responsive and cross-browser design · REST API & GraphQL integration Backend Development: · Node.js, Django, Python · PostgreSQL, MongoDB, MySQL · Redis, Kafka AI & Media Work : · AI/ML Integration using TensorFlow, PyTorch, or scikit-learn · Image & Video Processing using OpenCV, FFmpeg, PIL · Face detection, object recognition, media tagging pipelines DevOps & Tools: GCP, Docker, Git, CI/CD pipelines, Version Control (GitHub/Bitbucket). Qualification : Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Job Type: Full-time Pay: ₹1,400,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Life insurance Paid time off Provident Fund Schedule: Day shift Work Location: In person

About Role: We’re seeking a Senior Python Developer to lead the digital transformation of a well-established organization by building AI-powered, scalable web applications. You’ll modernize core business processes across Sales, Distribution, and Finance, playing a key role in shaping the company’s digital future. In this role, you'll own the full backend development lifecycle—from architecture to deployment—delivering automation-driven solutions that boost efficiency and revenue. You’ll collaborate with cross-functional teams to create user-centric platforms that support large-scale digital initiatives. Why Join Us? · Opportunity to contribute significantly to the digital transformation initiatives of a leading media organization. · Collaborate with a passionate, innovative, and cross-functional team. · Enjoy a creative, dynamic work environment with excellent growth and learning opportunities. Core Competencies: Backend Development : Python, Django, Django Rest Framework (DRF), Flask API Development : RESTful APIs, GraphQL, AI/ML Integration : OpenCV, TensorFlow, PyTorch, scikit-learn Image & Video Processing : OpenCV, PIL, FFmpeg, MediaPipe Databases : PostgreSQL, MySQL, SQLite, MongoDB Cloud & DevOps : GCP, Docker, Git Frontend Collaboration : HTML, CSS, JavaScript, React (basic) Tools : Postman, Swagger, GitHub Project Management : Agile/Scrum, Jira Roles & Responsibilities: Develop and maintain scalable web applications using Python and Django . Design and implement RESTful APIs and backend services for web/mobile applications. Build and integrate AI/ML components, especially in image classification, face/object detection, or recommendation systems. Work with image and video processing tools to support media-rich applications. Develop and manage CMS-based platforms using Django-CMS or Wagtail. Experience with CRM systems or Lead-to-Cash modules (e.g., Salesforce) is a plus Collaborate with frontend developers to deliver seamless user experiences. Coordinate directly with product owners and business teams to understand requirements and propose effective solutions. Optimize application performance, ensure security best practices, and manage deployment pipelines. Lead and mentor junior developers, review code, and drive project delivery. Experience Required: 5 to 10 years of solid experience in full-stack or backend-focused development roles. Proven experience working on AI/ML modules, media processing, and CMS-driven platforms. Qualification: Bachelor’s or Master’s degree in Computer Science, IT, or related technical field. Job Type: Full-time Pay: ₹1,400,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Life insurance Paid time off Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

Position Senior Engineer / Technical Lead (C++ Linux, Audio-Video streaming) Job Description Job Description What You'll Be Doing Responsible for design and development of real time embedded software/firmware on Linux Platforms To Analyse domain specific technical or low level requirement and modification as per end customer or system requirement. Participate in high level requirements analysis, High level and low level software design Perform software testing including unit, functional and system level testing Performs code review following coding guidelines and static code analysis Troubleshoots software problems which are complex in nature. Documenting technical deliverable like software specifications, design document, code commenting and unit test cases, Release note etc. throughout the project life cycle. Follow defined process for software Development life cycle Develops software solutions from established programming languages or by learning new language required for specific project. Develop new approaches to complex design problems. Responsible for code and design reviews for the code / design developed by subordinates / peers Technical stakeholder communication (knowing pules of customer, proactive in communication in right way, identifying potential escalation scenarios and pre-emptively handling them) Mentoring and team building What Are We Looking For Should be proficient in using C and C++ language on embedded platforms Linux, OOPS fundamentals should be very strong. Working knowledge on media products with audio and video interfaces Must have strong fundamental knowledge of audio formats, video formats, encoding / decoding standards, streaming protocols, multimedia frameworks MUST have Strong knowledge of streaming protocols like RTP, RTSP, RTCP, WebRTC, P2P Tunneling. Must have strong fundamental knowledge of Multi-threaded, Multi Process event driven architecture-based Linux application development with IPC concepts Strong knowledge of multimedia framework such as ffmpeg, gstreamer, live555 Basic knowledge of H264, H265, MP4 and Fragmented MP4, G711, G726, AAC, WAV and mp3 formats Experience working with development tools like Codec analyzes, Audio/Video Analyzers, GIT, SVN, JIRA. Strong sense of ownership, passionate, fast learner, analytical mind set, perfection seeker. Location - Ahmedabad, Pune Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services

Company Description TrueFan uses proprietary AI technology to connect fans and celebrities and is now focused on revolutionizing customer-business interactions with AI-powered personalized video solutions. Our platform enables brands to create unique, engaging video experiences that drive customer loyalty and deeper connections. Company Overview We are a cutting-edge AI company focused on developing advanced lip-syncing technology using deep neural networks. Our solutions enable seamless synchronisation of speech with facial movements in videos, creating hyper-realistic content for various industries such as entertainment, marketing, and more. Position : MLOps Engineer We are looking for a talented and motivated MLOps Engineer to join our team. The ideal candidate will play a crucial role in managing and scaling our machine learning models and infrastructure, enabling seamless deployment and automation of our lip-sync video generation systems. Key Responsibilities Model Training/Deployment Pipelines and Monitoring : Design, implement, and maintain scalable and automated pipelines for deploying deep neural network models. Monitor and manage Production models, ensuring high availability, low latency, and smooth performance. Automate workflows for data preprocessing (face alignment, feature extraction, audio analysis), model retraining, and video generation. Implement Logging, Tracking, and Monitoring Systems to ensure data integrity and visibility into the model lifecycle. Infrastructure Management Build and manage cloud-based infrastructure (AWS, GCP, or Azure) for efficient model training, deployment, and data storage. Collaborate with DevOps to manage containerization (Docker, Kubernetes) and ensure robust CI/CD pipelines using github and jenkins for model delivery. Monitor resource for GPU/ CPU-intensive tasks like video processing, model inference, and training using Prometheus , Grafana, alert manager, ELK stack. Collaboration Work closely with ML engineers to integrate models into production pipelines. Provide tools and frameworks for rapid experimentation and model versioning. Required Skills Basic Python Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services. Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) Have understanding of Deployment of both synchronous and asynchronous API using Flask, Django, Celery, Redis, RabbitMQ , Kafka Deployed and Scaled AI/ML in Production. Familiarity with deep learning frameworks (TensorFlow, PyTorch). Familiarity with video processing tools like FFMPEG and Dlib for handling dynamic frame data. Basic understanding of ML models Preferred Qualifications Experience in image and video-based deep learning tasks. Familiarity with media streaming and video processing pipelines for real-time generation. Experience with real-time inference and deploying models in latency-sensitive environments. Strong problem-solving skills with a focus on optimising machine learning model infrastructure for scalability and performance (ref:hirist.tech)

JD: Android Developer (Video & Media Applications) Experience Required: 5-7 years Location: Noida Job Type: Full-time Job Summary: We’re looking for a skilled Android Developer with hands-on experience in building video-centric applications. The ideal candidate should have a solid grasp of media handling and integration with third-party video editing platforms. Responsibilities: Design and develop Android applications with a strong focus on video editing, media playback, and real-time processing. Integrate and work with FFmpeg or third-party video editing platforms such as Banuba or equivalent systems. Implement efficient background media tasks like trimming, compression, rendering, and transcoding. Build and maintain intuitive media editing UI/UX components. Collaborate with cross-functional teams including design and backend to deliver seamless media workflows. Ensure app stability, performance, and responsiveness across devices. Strong understanding of Android Media APIs and UI components. Job Types: Full-time, Contractual / Temporary Contract length: 3 months Pay: ₹100,000.00 - ₹150,000.00 per month Schedule: Day shift Application Question(s): Have you developed or worked on any live video/media applications? Work Location: In person

JD: iOS Developer (Video & Media Applications) Experience Required: 5-7 years Location: Noida Job Type: Full-time Job Summary: We're looking for a skilled iOS Developer with hands-on experience in building video-centric applications. The ideal candidate should have a solid grasp of media handling and integration with third-party video editing platforms. Responsibilities: Design and develop iOS applications with a strong focus on video editing, media playback, and real-time processing Integrate and work with FFmpeg or third-party video editing platforms such as Banuba or equivalent systems Implement efficient background media tasks like trimming, compression, rendering, and transcoding using iOS frameworks Build and maintain intuitive media editing UI/UX components using UIKit/SwiftUI Collaborate with cross-functional teams including design and backend to deliver seamless media workflows Ensure app stability, performance, and responsiveness across iPhone and iPad devices Strong understanding of iOS Media frameworks (AVFoundation, AVKit, Core Media, VideoToolbox) and UI components Optimize video processing performance and memory management for iOS devices Handle media permissions and privacy requirements according to iOS guidelines Required Skills: Proficiency in Swift and Objective-C Experience with AVFoundation, AVKit, and Core Media frameworks Knowledge of video codecs, formats, and compression techniques Familiarity with Grand Central Dispatch (GCD) for background processing Understanding of iOS app lifecycle and memory management Experience with Auto Layout and responsive design principles

Android Developer (Video & Media Applications) Experience Required: 3-5 years Location: Noida Job Type: Contractual (3 months) Job Summary: We’re looking for a skilled Android Developer with hands-on experience in building video-centric applications. The ideal candidate should have a solid grasp of media handling and integration with third-party video editing platforms. Responsibilities: Design and develop Android applications with a strong focus on video editing, media playback, and real-time processing. Integrate and work with FFmpeg or third-party video editing platforms such as Banuba or equivalent systems. Implement efficient background media tasks like trimming, compression, rendering, and transcoding. Build and maintain intuitive media editing UI/UX components. Collaborate with cross-functional teams including design and backend to deliver seamless media workflows. Ensure app stability, performance, and responsiveness across devices. Strong understanding of Android Media APIs and UI components.

Android Developer (Video & Media Applications) Immediate Joiner Preferred Experience Required: 3-7 years Location: Noida Job Type: Contractual Job Summary: We’re looking for a skilled Android Developer with hands-on experience in building video-centric applications. The ideal candidate should have a solid grasp of media handling and integration with third-party video editing platforms. Responsibilities: Design and develop Android applications with a strong focus on video editing, media playback, and real-time processing. Integrate and work with FFmpeg or third-party video editing platforms such as Banuba or equivalent systems. Implement efficient background media tasks like trimming, compression, rendering, and transcoding. Build and maintain intuitive media editing UI/UX components. Collaborate with cross-functional teams including design and backend to deliver seamless media workflows. Ensure app stability, performance, and responsiveness across devices. Strong understanding of Android Media APIs and UI components.

Job Description We are seeking a highly skilled and motivated Full-Stack Developer with expertise in DVR, NVR, IP Camera integration, and IoT communication. The ideal candidate will have experience with the ONVIF protocol and be capable of developing a seamless, unified application that provides live streaming, NVR/DVR management, and smart home automation. Responsibilities Design and develop a robust application for integrating DVR, NVR, and IP Camera systems. Implement live video streaming using protocols such as RTSP. Develop and maintain RESTful APIs for managing and configuring NVR/DVR settings. Integrate ONVIF protocol to ensure compatibility with ONVIF-compliant devices. Establish and configure IoT communication using protocols like MQTT, CoAP, or HTTP/HTTPS. Integrate smart home automation systems (e.g., Google Home, Amazon Alexa, Apple HomeKit). Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Conduct thorough testing and debugging to ensure the reliability and security of the application. Stay updated with the latest industry trends and technologies. Requirements Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience. Proven experience as a Full-Stack Developer or similar role. Strong proficiency in Python & CPP back-end technologies Experience with video streaming protocols (RTSP, WebRTC) and libraries (FFMPEG, FFMPEG API, GStreamer). In-depth knowledge of the ONVIF protocol and experience with ONVIF SDKs. Familiarity with IoT communication protocols (MQTT, CoAP, HTTP/HTTPS). Experience with smart home automation platforms (Google Home, Amazon Alexa, Apple HomeKit). Proficiency in database management (PostgreSQL, MySQL, MongoDB). Solid understanding of security best practices and secure communication channels (TLS/SSL). Hands on with Linux/Debian Experience of working with Raspberry PI/Arduino Uno/Andbox Strong problem-solving skills and the ability to work independently or as part of a team. Excellent communication and collaboration skills. (ref:hirist.tech)

Role: AI Generalist – Media & Post Production Intelligence Location: Kolkata -- We are looking for an AI Generalist to support the development and implementation of AI-driven tools for video analysis, post-production automation, and media asset intelligence. Key Responsibilities: Assist in building video/audio embedding models to enable semantic search and content recommendation. Work on AI tools for automated thumbnail , preview generation , and social media optimization . Contribute to pipelines for subtitle automation , dubbing , audio cleanup , S&P flagging , and basic HDR upscaling . Prototype AI features for creative tools in close coordination with media and content teams. Explore open-source models (e.g. Whisper, Stable Diffusion, RAG) and fine-tune for internal use cases. Ideal Background: 1–2 years' experience with projects in computer vision, generative AI, or media tech. Strong hands-on skills in Python, PyTorch/TensorFlow, and familiarity with video/audio libraries (FFmpeg, OpenCV). Self-driven, curious, and willing to iterate fast using both open-source and foundation models.

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

Job Description: We are working on a long-term enterprise project using the MEAN stack. We use mostly Angular to create the frontend. Backend is being developed in either Node-based headless-cms or the C++ based REST service running inside the containers (Docker). We use BPMN tools for the Workflow engine. For identity and access management, we use tools like Keycloak to isolate the security domain of the project. We are heavily invested in media tools and frameworks like FFMPEG that help in modifying multimedia files. We are following the micro services architecture to develop the solution. Responsibilities: A good understanding of the Node framework is essential. Experience in Angular frontend development shall also be required. Knowledge of container based hosting and development will help the programmer a lot. The programmer we seek for this position shall be required to work on tasks they will receive in written documents, charts or project management software. Or they will be required to maintain (make changes, remove issues) the existing software code, handling issues maintained on the bug management software tools. They will be required to work in a Scrum-based agile development methodology. They should have a good knowledge of Git. Git is used extensively for the version control system. Position Requirements: Key Skills: Node.js, Express, Angular, MongoDB, JavaScript, Typescript, C++, C# Preferred skills: Express, MongoDB, Docker, Azure, Keycloak, Camunda, SCRUM, TDD, UML, HTML, CSS Experience: 0 to 1 years Location: Ludhiana

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

Company Description TrueFan uses proprietary AI technology to connect fans and celebrities and is now focused on revolutionizing customer-business interactions with AI-powered personalized video solutions. Our platform enables brands to create unique, engaging video experiences that drive customer loyalty and deeper connections. Job Description DevOps with MLOps Engineer Company Overview We are a cutting-edge AI company focused on developing advanced lip-syncing technology using deep neural networks. Our solutions enable seamless synchronisation of speech with facial movements in videos, creating hyper-realistic content for various industries such as entertainment, marketing, and more. Position: MLOps Engineer We are looking for a talented and motivated MLOps Engineer to join our team. The ideal candidate will play a crucial role in managing and scaling our machine learning models and infrastructure, enabling seamless deployment and automation of our lip-sync video generation systems. Key Responsibilities Model Training/Deployment Pipelines and Monitoring: Design, implement, and maintain scalable and automated pipelines for deploying deep neural network models. Monitor and manage Production models, ensuring high availability, low latency, and smooth performance. Automate workflows for data preprocessing (face alignment, feature extraction, audio analysis), model retraining, and video generation. Implement Logging, Tracking, and Monitoring Systems to ensure data integrity and visibility into the model lifecycle. Infrastructure Management: Build and manage cloud-based infrastructure (AWS, GCP, or Azure) for efficient model training, deployment, and data storage. Collaborate with DevOps to manage containerization (Docker, Kubernetes) and ensure robust CI/CD pipelines using github and jenkins for model delivery. Monitor resource for GPU/ CPU-intensive tasks like video processing, model inference, and training using Prometheus , Grafana, alert manager, ELK stack. Collaboration: Work closely with ML engineers to integrate models into production pipelines. Provide tools and frameworks for rapid experimentation and model versioning. Required Skills Basic Python Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-based machine learning services. Expert knowledge of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation) Have understanding of Deployment of both synchronous and asynchronous API using Flask, Django, Celery, Redis, RabbitMQ , Kafka Deployed and Scaled AI/ML in Production. Familiarity with deep learning frameworks (TensorFlow, PyTorch). Familiarity with video processing tools like FFMPEG and Dlib for handling dynamic frame data. Basic understanding of ML models Preferred Qualifications Experience in image and video-based deep learning tasks. Familiarity with media streaming and video processing pipelines for real-time generation. Experience with real-time inference and deploying models in latency-sensitive environments. Strong problem-solving skills with a focus on optimising machine learning model infrastructure for scalability and performance.

We're looking for a hands-on Computer Vision Engineer who thrives in fast-moving environments and loves building real-world, production-grade AI systems. If you enjoy working with video, visual data, cutting-edge ML models, and solving high-impact problems, we want to talk to you. This role sits at the intersection of deep learning, computer vision, and edge AI, building scalable models and intelligent systems that power our next-generation sports tech platform Responsibilities Design, train, and optimize deep learning models for real-time object detection, tracking, and video understanding. Implement and deploy AI models using frameworks like PyTorch, TensorFlow/Keras, and Transformers. Work with video and image datasets using OpenCV, YOLO, NumPy, Pandas, and visualization tools like Matplotlib. Collaborate with data engineers and edge teams to deploy models on real-time streaming pipelines. Optimize inference performance for edge devices (Jetson, T4 etc. ) and handle video ingestion workflows. Prototype new ideas rapidly, conduct A/B tests, and validate improvements in real-world scenarios. Document processes, communicate findings clearly, and contribute to our growing AI knowledge base. Requirements Strong command of Python and familiarity with C/C++ Experience with one or more deep learning frameworks: PyTorch, TensorFlow, Keras. Solid foundation in YOLO, Transformers, or OpenCV for real-time visual AI. Understanding of data preprocessing, feature engineering, and model evaluation using NumPy, Pandas, etc. Good grasp of computer vision, convolutional neural networks (CNNs), and object detection techniques. Exposure to video streaming workflows (e. g., GStreamer, FFmpeg, RTSP). Ability to write clean, modular, and efficient code. Experience deploying models in production, especially on GPU/edge devices. Interest in reinforcement learning, sports analytics, or real-time systems An undergraduate degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, or a related discipline is preferred. A strong academic background is a plus. This job was posted by Siddhartha Dutta from Tech At Play.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? Contentstack is looking for a skilled Senior Software Engineer to help develop and enhance our next-gen Media Asset Management (MAM) platform. This role centers on advanced video and image processing, AI-driven metadata features, real-time collaborative editing, and system integrations. Key Responsibilities: Video Processing & Streaming Build automated transcoding pipelines and proxy generation. Implement adaptive bitrate streaming (HLS, DASH). Integrate AI features: transcription, captions, scene detection, interactive elements. Ensure seamless CDN integration and system interoperability. Image Processing & Editing Automate image conversions and thumbnail generation. Develop in-platform editing tools (crop, resize, filters, retouching). Implement advanced features: non-destructive editing, AI enhancements, ICC color management, vector integration, and parametric filters. Support real-time collaborative editing with version control. System Integration & Collaboration Work cross-functionally with product, design, and QA teams. Write clean, scalable code; participate in reviews and debugging. Stay current with new tech and propose innovative solutions. Technical Skills: Strong programming skills in Python, JavaScript, or C++. Hands-on experience with video processing libraries and tools such as FFmpeg and GStreamer. Proficient in image processing using libraries like OpenCV and PIL. Working knowledge of AI/ML frameworks such as TensorFlow and PyTorch for media content analysis. Solid understanding of modern web technologies and frameworks, including React and Node.js. Experience with cloud infrastructure (AWS, Azure) and integrating Content Delivery Networks (CDNs). Familiar with both SQL and NoSQL databases, as well as designing and developing RESTful APIs. Experience: 6 to 9 Years Skills: FFmpeg, GStreamer, AI/ML Location: Chennai (Hybrid Model) What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? Contentstack is looking for a skilled Software Engineer to help develop and enhance our next-gen Media Asset Management (MAM) platform. This role centers on advanced video and image processing, AI-driven metadata features, real-time collaborative editing, and system integrations. Key Responsibilities: Video Processing & Streaming Build automated transcoding pipelines and proxy generation. Implement adaptive bitrate streaming (HLS, DASH). Integrate AI features: transcription, captions, scene detection, interactive elements. Ensure seamless CDN integration and system interoperability. Image Processing & Editing Automate image conversions and thumbnail generation. Develop in-platform editing tools (crop, resize, filters, retouching). Implement advanced features: non-destructive editing, AI enhancements, ICC color management, vector integration, and parametric filters. Support real-time collaborative editing with version control. System Integration & Collaboration Work cross-functionally with product, design, and QA teams. Write clean, scalable code; participate in reviews and debugging. Stay current with new tech and propose innovative solutions. Technical Skills: Strong programming skills in Python, JavaScript, or C++. Hands-on experience with video processing libraries and tools such as FFmpeg and GStreamer. Proficient in image processing using libraries like OpenCV and PIL. Working knowledge of AI/ML frameworks such as TensorFlow and PyTorch for media content analysis. Solid understanding of modern web technologies and frameworks, including React and Node.js. Experience with cloud infrastructure (AWS, Azure) and integrating Content Delivery Networks (CDNs). Familiar with both SQL and NoSQL databases, as well as designing and developing RESTful APIs. Experience: 3 to 5 Years Skills: FFmpeg, GStreamer, AI/ML Location: Chennai (Hybrid Model) What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

Position Vacant : Embedded Systems Engineer Video Codec Development Location : Hyderabad Work Mode : WFO Experience : 4-8 years Qualification : Bachelors or Masters in Computer Engineering, Electrical, or Electronics Engineering Masters degree with focus on Embedded Systems, Signal Processing, or Multimedia Systems Core Technical Expertise Embedded Systems Development : 48 years of recent and relevant experience Strong background in RTOS, multithreading, resource management, and interrupt handling Programming Solid C and Assembly language proficiency Familiarity with debugging tools (e.g., JTAG, Lauterbach, GDB) Operating Systems Experience working with Linux, Android, or other embedded platforms Understanding of kernel/user space, memory management, and device drivers Video & Multimedia Domain Knowledge Hands-on Experience With Video codecs : H.264, HEVC, VP9, MPEG (development, porting, and optimization) Signal processing techniques and pre/post-processing algorithms Understanding of video pipeline architecture and performance tuning Familiarity with multimedia frameworks like OpenMAX, GStreamer, or FFmpeg is a plus Preferred Additional Skills Cross-functional Collaboration : Work with hardware, system architecture, firmware, and software teams Experience with Agile development, version control (e.g., Git), and JIRA Soft Skills Excellent verbal and written communication Self-motivated, proactive, and ability to handle ambiguity Strong analytical thinking, root-cause analysis, and debugging capabilities Key Responsibilities Design, develop, and optimize video firmware solutions on Qualcomm SoCs Collaborate with system engineers and architects to define and integrate video processing features Drive enhancements to the video/imaging subsystem hardware and software Customer engagement : Support product teams in deployment, bring-up, debugging, and customization Ensure high-performance and power-efficient multimedia implementations Work on future generation Qualcomm processors to drive innovation in mobile video technologies Added Adv / Plus Knowledge of ARM architecture, SIMD/NEON optimizations Experience with AI-assisted video processing or computer vision Contribution to open-source multimedia or codec projects (ref:hirist.tech) Show more Show less

Platform Engineer Skills & Experience Experience level: 3+ years Tech stack used: FastAPI, Tornado, Redis, Celery, MySQL, AWS, Docker, Ansible, Linux, Python, React, OpenSearch, nginx Primary skills we consider: Python, API/Web Development Secondary skills we consider: React, Typescript, HTML5/CSS3, REST, Docker, CI/CD, AWS, ML training & deployment stacks Location: Remote About us: We're building FileSpin into the world’s most innovative, AI-enabled Digital Asset Management platform. Our mission is to deliver blazing-fast media infrastructure and delightful developer tools for teams who care about scale and performance. We're growing fast — and looking for sharp, self-driven engineers to help shape our next-generation platform. If you thrive in fast-paced environments and love solving real-world SaaS scaling challenges, let’s talk. Qualifications & Responsibilities Proficient in Troubleshooting and Infrastructure management Strong skills in Software Development and Programming Experience with Databases Excellent analytical and problem-solving skills Ability to work independently and remotely Bachelor's degree in Computer Science, Information Technology, or related field preferred Experience in ML model training and deployments is a plus Essential skills: Excellent Python Programming skills Good Experience with SQL Excellent Experience with at least one web frameworks such as Tornado, Flask, FastAPI Experience with Video encoding using ffmpeg, Image processing (GraphicsMagick, PIL) Good Experience with Git, CI/CD, DevOps tools Experience with React, TypeScript, HTML5/CSS3 “Nice to have” skills: Machine Learning and associated tools Web/Proxy servers (nginx/Apache/Traefik) SaaS stacks such as task queues, search engines, cache servers Prior experience in a startup or early-stage team Please do not apply if you You’ve never built or contributed to a cloud-based SaaS application You aren’t comfortable working independently and remotely What You'll Get High-autonomy, low-meeting culture — we trust you to do your best work Work closely with founders and senior engineers — no middle layers Continuous Learning Budget (courses, books, events) A creative, fast-paced environment where you’ll own your impact Interview Process Introductory chat Short technical screening test (code + SaaS thinking) Deep dive technical interview Culture and compensation discussion Job offer Show more Show less

Join DAZN – The Ultimate Sports Streaming Experience! DAZN is revolutionizing the way fans experience sports with cutting-edge streaming technology. As we continue to innovate, we are looking for a Solutions Architect – Streaming & OTT to design and optimize high-performance video streaming architectures. If you have 10+ years of experience in streaming/OTT solutions, encoding, CDN distribution, and playback services, we’d love to hear from you! 📩 Interested? Apply now by sharing your updated resume, current & expected CTC, and notice period. Let’s shape the future of sports streaming together! 🚀 Job Title: Solutions Architect – Streaming & OTT Location: Hyderabad Role Overview: We are looking for an experienced Solutions Architect – Streaming & OTT to design, optimize, and support scalable, high-performance video streaming architectures. The ideal candidate will have a deep understanding of end-to-end streaming workflows, encoding/transcoding pipelines, packaging, CDN distribution, and playback services while ensuring seamless content delivery across a variety of devices and platforms. Key Responsibilities: Architect and implement end-to-end streaming solutions , ensuring high availability, low latency, and scalability. Define technical roadmaps for streaming infrastructure, aligning with business and operational goals. Optimize video encoding/transcoding pipelines for live and VOD content, ensuring optimal compression efficiency without quality loss. Design and implement adaptive bitrate (ABR) streaming strategies to optimize playback across different devices and network conditions. Architect and integrate multi-CDN strategies , ensuring resilience, redundancy, and global distribution efficiency. Design and oversee OTT packaging workflows (HLS, DASH, CMAF) and DRM integration for content security. Provide third-line technical support for streaming technologies, debugging complex playback, latency, and delivery issues. Work closely with backend, player, and DevOps teams to ensure seamless integration of playback services and analytics solutions . Stay ahead of emerging trends and advancements in streaming technology, contributing to strategic initiatives and innovation. Technical Expertise Required: 10+ years of experience in streaming/OTT industry , with a focus on solution architecture and design . Proven track record in designing and deploying scalable, high-performance streaming solutions . Hands-on expertise in video encoding/transcoding (FFmpeg, AWS Media Services, Elemental, Harmonic, etc.). Strong knowledge of OTT packaging standards (HLS, MPEG-DASH, CMAF) and DRM solutions (Widevine, FairPlay, PlayReady). Experience working with Content Delivery Networks (CDNs) (Akamai, CloudFront, Fastly, etc.) and designing multi-CDN architectures . Deep understanding of video player technologies, ABR streaming, and low-latency playback optimizations . Experience in designing and maintaining backend playback services with APIs for content discovery, recommendations, and analytics. Familiarity with cloud-based media workflows (AWS, GCP, Azure) and Infrastructure as Code (IaC) methodologies. Proficiency in networking, HTTP streaming protocols (RTMP, HLS, DASH), and caching strategies for optimal content delivery. Experience with monitoring and troubleshooting tools (QoE/QoS analytics, log aggregators, and network diagnostics). Bonus: Prior experience in live sports streaming with expertise in ultra-low latency streaming (WebRTC, LL-HLS, CMAF-CTE) Show more Show less