74 Video Analytics Jobs

Role : Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function: Software Development - IVA / Computer Vision Work Location : Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience : 2+ Years Qualification : B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company

The opportunity We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include: Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems. Take ownership to drive computer vision solutions and meet customer requirements. Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future. Developing data handling and machine learning pipelines for training In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection Implementing algorithms in robust, efficient, and well-tested code. Skills and attributes for success To qualify for the role, you must have Experience of minimum 2 years Ability to develop Deep Learning frameworks to solve problems. Design and create platforms for image processing and visualization. Knowledge of computer vision libraries. Understanding of dataflow programming. B.E. (E&TC /Computer / IT / Mechanical / Electronics) C++, video analytics, CUDA, Deepstream

Assurance & Quality (AQ) Engineer DepartmentQuality Assurance / Engineering LocationRemote Role Purpose: To ensure the highest quality standards are met for live streaming and video surveillance solutions, especially in CCTV systems. The AQ Engineer will be responsible for validating compliance with STQC (Standardization Testing and Quality Certification) norms and will perform thorough testing and verification of live video streaming functionalities, encoding/decoding quality, latency, resilience, and compatibility. Key Responsibilities: Conduct functional, performance, and security testing on live streaming and CCTV video systems. Ensure systems comply with STQC guidelines, including for government-grade video surveillance. Validate end-to-end video streaming workflows capture, encoding, transmission, and playback. Test latency, frame rate consistency, resolution standards, and night vision capabilities. Ensure compatibility across various video codecs (H.264, H.265), streaming protocols (RTSP, RTMP, ONVIF). Develop and maintain automated test scripts for regression and stress testing of video systems. Collaborate with development, network, and security teams to resolve quality issues. Conduct compliance and certification testing to ensure product readiness for deployment. Generate quality reports, issue logs, and root cause analysis documentation. Required Skills & Experience: Bachelors Degree in Electronics, Computer Science, or related discipline. STQC Certification or experience working with STQC standards is mandatory . 36 years of experience in QA for video surveillance, CCTV, or live streaming environments. Strong understanding of video streaming protocols and CCTV camera technologies. Familiarity with tools like Wireshark, VLC, ONVIF Device Manager, and IP video testers. Experience with CCTV integration platforms, video analytics, and storage systems (NVR/DVR). Good scripting skills (Python, Shell) for test automation preferred. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Knowledge of cybersecurity practices for video surveillance. Experience with cloud-based video management systems (AWS Kinesis Video, Azure Media Services). Exposure to AI-based video analytics and real-time video alert systems. Key Performance Indicators (KPIs): Number of defects identified pre-production Compliance rate with STQC guidelines Stream quality consistency (uptime, resolution, frame drop rate) Test automation coverage and execution speed Turnaround time for issue resolution

Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems. Take ownership to drive computer vision solutions and meet customer requirements.

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

Roles & Responsibilities : This positions require a strong IT and project management skills to: Act as Rollout Expert for assigned projects Support Sentinela implementation and regular maintenance; Keep a strong follow-up on developments and project plans and present status; Conduct tests to ensure smooth go-lives; Constantly work to improve end user experience with Sentinela Analytics. Conduct training for Sentinela Analytics for end-users, key-users and management; Act as a Sentinela Super User supporting worldwide operations to deliver enhancements; Solve tickets within agreed SLA - It requires working on weekends or late night (occasionally); Support on a monthly basis Sentinela Sprints preparation, coordinate tests to further develop the solution Provide technical advisement in terms of Sentinela, BVMS and SAP-EWM related topics. Qualifications Educational qualification: Graduation in Engineering English - B2 Level or above (mandatory); Experience : At-least 3 years of Warehousing Background with experience on project Management and IT Infrastructure projects Mandatory/requires Skills : Strong WMS Experience (SAP R/3 or EWM or S/4 HANA) Preferred Skills : Basic know-how on BVMS Experience (Bosch Video Management System (BVMS) Basic know-how on Extended Warehouse Management System (EWM)

About us Enview is an exciting and rapidly growing startup aiming to revolutionize the way companies leverage their enterprise CCTV cameras. Our mission is to add intelligence to enterprise CCTV video feeds, enabling organizations to manage, optimize, and extract insights from their CCTV deployments. Job Summary We are seeking a detail-oriented and technically skilled Quality Assurance and Support Manager with hands-on experience in CCTV, e-security (FAS, BAS, and ACS), and Networking technologies with project implementation experience as well. The ideal candidate will be responsible for ensuring the quality, reliability, and functionality of our deployments through rigorous testing, technical support, and occasional field installation work. What youll do Lead all quality assurance, repair & maintenance, and customer support activities at Enview, while occasionally managing turnkey project implementations. Conduct functional and performance testing of CCTV systems, e-security systems, and network infrastructure. • Ensure all products, processes, and projects comply with Enviews ISO 9001 and 27001 standards, as well as any external quality requirements from customers. Perform site visits to enforce quality assurance standards and verify implementation quality. Identify, document, report, and coordinate the resolution of faults or quality issues with the technical and engineering teams. Collaborate with project implementation and engineering teams to resolve quality concerns and recommend process improvements. Take end-to-end ownership of new and ongoing projects involving relevant technologies. Oversee support operations, including leading a team of 23 personnel, maintaining customer SLAs, managing CSATs, handling product returns, and coordinating repairs. Who you are and what your capabilities are BE in Electronics and communications. 6-8 years of experience in CCTV and e-security systems (SITCM) and QA/QC/customer support. proven skills in video surveillance, e-security, and wireless technologies. Strong project management and cross-functional collaboration experience. Key Skills Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Self-motivated, ability to work under pressure. Experience with automated and performance testing tools. Documentation and record-keeping. Time management and prioritization. Coordination with cross-functional teams. Compensation & Perks • CTC 5-7 LPA • PF • Medical Insurance • Travel Allowance

As an intern at Venera Technologies, you will have the opportunity to work on various data science projects in the video analytics domain. Your day-to-day responsibilities will include understanding data requirements and implementing effective data solutions. You will be responsible for data generation and data sanitization for model training using various methods and tools. Additionally, you will be tasked with model evaluation and assisting the team in fine-tuning the model parameters using various metrics and techniques. Your role will also involve applying statistical techniques for data analysis to derive meaningful insights. Venera Technologies is a renowned video solutions company recognized for its innovative products and solutions worldwide. Our automated QC solutions, "Pulsar" and "Quasar", are utilized by leading broadcast, post-production, and media companies such as Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, and Adstream. Furthermore, we have established partnerships with prominent technology firms including Aspera, Evertz, Netflix, and Telestream, who have seamlessly integrated with our products.,

As an Asset Protection Associate Analyst with the SSC-B team, you will play a crucial role in utilizing Video Analytics to prevent shrinkage at Self Check Out, conduct Fraud Investigations, and analyze Cashier Behavior. Your primary responsibilities will include monitoring video footage, reviewing transactions, and observing behaviors to ensure the security of assets. In this position, you will need to demonstrate strong communication skills, curiosity, attention to detail, and possess a good understanding of store layouts and camera systems. Your ability to effectively analyze data from videos and transactions will be essential in identifying and preventing potential risks to the organization. Your dedication to monitoring activities and behaviors will contribute significantly to the overall security measures put in place by the Asset Protection team. Your keen eye for detail and proactive approach will help in maintaining a safe and secure environment for the organization's assets. Joining the Asset Protection team as an Associate Analyst will provide you with the opportunity to utilize your skills in surveillance and analysis to safeguard the company's resources effectively. Your proactive mindset and ability to work diligently in monitoring and reviewing activities will be key in ensuring the success of the asset protection strategies implemented by the organization.,

Qualcomm India Private Limited is the innovation leader in the area of integrated chipsets powering advanced mobile devices, automobiles, computing devices, IoT devices, and XR devices. As part of the growing visual technology systems team, you will contribute to higher performance in visual technologies with a focus on minimal power consumption and device cost, while maintaining strong feature differentiation. We are currently looking for experienced system engineers to drive cutting-edge efforts in image processing, video codec architecture/design, and computer vision. As the overall engineering lead for the project, you will be responsible for delivering Visual technology IPs on time. This includes overseeing architecture, systems design, hardware, software, documentation, and tools to meet power and performance KPIs, product requirements, and stability for successful product launches. Key traits for this role include constant engagement, high availability, prioritization, providing clarity, attention to detail, and leadership by example. Minimum qualifications for this position include a Bachelor's degree in Science, Engineering, or related field, along with at least 8 years of experience in integrated chipset architecture, systems engineering, and HW/SW design. A strong knowledge of the IP development life cycle from concept to commercialization is essential, as well as the ability to work effectively across different teams. Preferred qualifications include a background in digital signal processing and image processing algorithms, color science, image signal processor pipelines, video codecs, and video analytics. Educational requirements include a Bachelor's in Computer Science or Electrical & Computer Engineering (required) and a Master's in Computer Science or Electrical & Computer Engineering (preferred). Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact disability-accommodations@qualcomm.com or Qualcomm's toll-free number. We expect all employees to adhere to applicable policies and procedures, including those related to security and protection of confidential information. Please note that our Careers Site is for individuals seeking jobs at Qualcomm, and staffing/recruiting agencies or their represented individuals are not authorized to use this platform. Unsolicited resumes or applications will not be accepted. For more information about this role, please contact Qualcomm Careers.,

Hello Talented Techie! To solve the biggest challenges of our time, we need inquisitive minds with the ambition to make the impossible possible. Siemens is your place to thrive, challenge the status quo, make a difference, and grow in a team of innovators who share your passion for tech. Are you in We are looking for a Research Engineer Introduction With over 1,900 research operatives worldwide, the Technology organization occupies a special position within Siemens R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, the USA, China, India, Russia and Eastern Europe, Technology helps secure the company's technological future and bolster its competitiveness. You'll create impact by: PhD/master's degree in computer science and from a reputed institute with grass-root experience of at least 3+ years in designing & solving complex problems and deriving actionable insights. Hands-on experience with one or more of the following is a must: Solid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch Hands-on experience using OpenCV and OpenGL Research, develop and prototype software related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM Hands-on experience dealing with multimodal data (audio, video, text, sensors, etc.,) and suggest cases with the best technology option for prototyping and productization. Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices Image processing, Computer vision and Video Analytics problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms) Experience building AI powered solutions for embedded platforms & compute constraint environments is a plus Knowledge of SaaS fundamentals is a plus Knowhow of solution design, architecture, software packaging using Docker/Kubernetes & deployment on cloud platforms is a plus Excited to collaborate with team members from idea generation, prototyping, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio. Have rich experience in understanding and influencing technology choices and building solutions to remove obstacles to adoption. Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens. Join Siemens: Create a better #TomorrowWithUs! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.

General Summary: Mandatory skills of C/C++ programming and operating systems. Experience with Camera drivers and controllers, preferably with Linux V4L2 driver model. Working knowledge of MIPI-CSI-2 and PHY specification; Working experience with bus protocols such as I2C/SPI. Experience in driver design and implementation with multiple camera vendor sensors such as - Sony, Aptina, OmniVision; Experience with FPDLINK/GMSL2 serializer/deserializers, CVBS, analog cameras. Familiarity with camera imaging pipeline such as 3A (focus/white balance/exposure), HDR, color correction, etc., is a plus. Exposure to Video pre- and post-processing algorithms, motion compensation & estimation, deinterlacing, etc., for subjective quality enhancement is a plus. Knowledge of computer vision, Video Analytics (facial recognition, object recognition) is a plus. Knowledge of one or more Real-Time Operating Systems is preferred: which includes Android, QNX, Embedded Linux. Solid understanding of ARM assembly language and low-level software/hardware interface design, JTAG based debugging is a plus. Exposure to Hypervisors and Virtualization is a plus. Fluent in industry standard software development tools: debuggers, code revision control systems (GIT, Perforce), IDEs and build tools. 10+ years Software Engineering or related work experience. 2+ years in a technical leadership role with or without direct reports. Possess 3-yrs to 7-yrs of experience in embedded software development. Good work experience in embedded software and/or driver development. Candidate should be detail-oriented and have strong analytical and debugging skills, strong communication skills (written and verbal), working with teams across multiple time zones. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. 2+ years of experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of experience with debugging techniques.

Must have skills required : Class Incremental Learning, Computer Vision, Docker/Kubernetes, MLOps, Pytorch, TensorFlow, Vision Transformers, Machine Learning Good to have skills : edge deployment, MLFlow, ONNX, Prometheus/Grafana, Cloud Server (Google / AWS) Radius AI (One of Uplers Clients) is Looking for: ML Ops Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Were looking for an experienced ML Ops Engineer with a strong foundation in computer vision and a passion for deploying production-grade AI systems. You'll lead the end-to-end lifecycle of our computer vision models from development and training to scalable deployment. The ideal candidate is excited to optimize and scale AI solutions in the real world. Key Responsibilities Drive the end-to-end development and deployment of computer vision models. Build and maintain robust, scalable ML pipelines and deployment workflows. Implement cutting-edge techniques like Vision Transformers (ViT) and class-incremental learning. Collaborate closely with research scientists, data engineers, and software developers. Train Models and optimise them to run on edge GPUs. Automate training, validation, testing, and deployment using CI/CD tools. Monitor model performance in production and optimize for latency, accuracy, and scalability. Ensure reproducibility and versioning of datasets, models, and experiments. Required Qualifications 4+ years of hands-on experience in machine learning and MLOps. Proven experience deploying computer vision models in real-world production environments. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Strong understanding of Vision Transformers (ViT), class-incremental learning, and model version control best practices. Experience with containerization tools like Docker and orchestration using Kubernetes. Familiarity with building and managing ML pipelines using tools such as MLflow, Experience automating CI/CD workflows for machine learning projects. Proficient in Python and scripting for automation. Understanding of data versioning tools and reproducibility standards (e.g., DVC, Weights & Biases). Strong problem-solving skills with the ability to debug and optimize deep learning models in production. Comfortable working with large-scale datasets and real-time data streaming environments. Preferred Qualifications Experience working in startups or fast-paced product teams with a bias for action. Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure for ML infrastructure and services. Familiarity with edge deployment strategies and tools like NVIDIA TensorRT or OpenVINO. Understanding of ONNX or other model conversion frameworks. Experience with real-time analytics systems and low-latency model serving. Familiarity with monitoring tools for production ML systems (e.g., Prometheus, Grafana, Sentry). Prior experience in retail or video analytics domains is a plus. Contributions to open-source ML/CV projects or research publications.

Develop and customize Embedded Linux firmware for camera systems, use ARM BSP files. Customize Buildroot Yocto or OpenWRT. Implement AES encryption secure boot key rotation and key management. Work with TLS SSH VPNs Optimize RTSP RTP ONVIF.

General Summary: We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing, video codec architecture/design and computer vision. Successful candidates will be part of a visual technology systems team that develops embedded camera and imaging solutions, image signal processor (ISP), visual analytics and video codec IPs as well as advanced algorithms for computer vision and image/video processing to address different Qualcomm businesses. Responsibilities: The job responsibilities may include a subset of the following: Overall engineering lead for the project responsible for on-time delivery of Visual technology IPs including architecture, systems design, hardware, software, documentation, and tools that meet power and performance KPIs along with product requirements and stability to enable the launch of products. Key traits Constant engagement Very high availability Prioritization Provides clarity Attention to detail and tracking of key issues Leadership by example Minimum qualifications: Bachelor's degree in Science, Engineering, or related field. 8+ years experience in integrated chipset architecture, systems engineering, HW/SW design Strong knowledge of IP development life cycle from concept to commercialization Cross functional lead who can effectively work across the teams. Preferred qualifications: Background in digital signal processing Background in image processing algorithms, color science and image signal processor pipelines, video codecs and video analytics is a plus. Educational requirements: Required: Bachelors in Computer science or Electrical & Computer Engineering Preferred: Ma s te r 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. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

You will be joining AUGURAI, a Visual Inspection startup located in Trichy, focused on developing products to enhance Quality Assurance in manufacturing. Our projects lie at the crossroads of Optics, AI, Robotics, and Industrial Automation, collaborating with prominent manufacturing clients nationwide. As an Automation + AI Engineer (Mechatronics Engineer), your primary role will involve researching and implementing state-of-the-art Computer Vision algorithms for Visual Inspection applications in the manufacturing sector. This position is based in our Tiruchirappalli office, Tamil Nadu, welcoming applications from freshers in Mechatronics/Robotics Engineering with a proven background in Computer Vision. Your responsibilities will include working with control boards like Arduino, Raspberry Pi, NVIDIA Jetson series, showcasing proficiency in Python programming (with a minimum of 2-3 years of experience), showcasing a keen interest in manufacturing, and being open to hands-on work in machine building. Prior experience in PLC Programming will be advantageous, along with academic or project exposure to Computer Vision (Image Processing/Video Analytics), and a willingness to travel as needed. As an Automation + AI Engineer at AUGURAI, you can expect to delve into cutting-edge Machine Vision projects, be part of a learning-centric and innovation-driven culture, collaborate with highly skilled colleagues passionate about Computer Vision/Industrial Automation, and enjoy various benefits during full-time employment, including comprehensive health insurance, provident fund, and training reimbursement. To qualify for this role, you should ideally possess 0-4 years of experience as an Automation/AI Engineer, hold a degree in B.E/B.Tech/M.E./M.Tech in fields like Mechatronics, Robotics, Industrial Automation, Electrical, Electronics, or Instrumentation, and demonstrate strong competencies in Computer Vision, Image Processing, and Deep Learning libraries/frameworks such as OpenCV, PyTorch, and TensorFlow. This Automation + AI Engineer position is based in Tiruchirappalli, Tamil Nadu.,

Responsibilities: * Develop new business opportunities through enterprise sales strategies * Manage existing accounts with consultative approach * Meet KPIs through effective collaboration and communication Provident fund

Hiring LLM Trainer – Video Annotation Specialist (Contract). Annotate robotic task videos, provide detailed timestamped notes, and support AI training. Req: 3+ yrs exp, strong English, detail-oriented

Associate Technical Consultant Electronic Surveillance Company Name: Inflow Technologies Company Website: https://inflowtechnologies.com/ Company details Founded in 2005, Inflow Technologies is a niche player in the IT Infrastructure Distribution Services industry providing Value Added Distribution in Networking, Cyber Security, Unified Communications and Collaboration, AIDC, Surveillance, Server, Storage & Software related Products & Services in India/South Asia. Inflow is headquartered in Bangalore with presence across 20+ locations, enabling resellers to design, deploy and adopt IT Infrastructure solutions to facilitate their customer needs. This initiative, supported by a strong technical team of 120+ certified resources, assists channel partners throughout their sales cycle. Inflow has an annual run-rate revenue of USD 700+ Million. Location: Mumbai & Delhi Department: Presales (TBU) Mode of Working: Work Frm Office Days of Working: 5 Days a week Responsibilities About the Role We are seeking a highly skilled and motivated Presales Technical Consultant with a strong background in Electronic Surveillance technologies, including CCTV, Access Control, Video Management Systems (VMS), ANPR, and other security solutions. You will play a key role in bridging the gap between customer needs and technical solutions by delivering customized proposals, technical demonstrations, and solution designs in collaboration with sales and engineering teams. Key Responsibilities: Solution Design and Customization: Technical presales professionals work with clients to understand their technical requirements and design solutions that fit their specific business needs. This may involve configuring and customizing products, integrating different technologies, and ensuring that the solution aligns with the clients infrastructure. They analyze client challenges and propose relevant products or services, often creating detailed technical presentations, demos, and proof of concepts (PoCs) that showcase how the solution will work in the clients environment. Product Demonstrations: One of the core responsibilities is delivering live or recorded product demonstrations. These demos illustrate the features and capabilities of the solution, addressing technical queries and demonstrating how the product can solve the clients business challenges. Technical presales engineers often use real-world examples, simulations, or customized demos to ensure the potential customer can see how the solution will operate in their specific use case. Technical Consultation and Advisory: They act as technical advisors to customers throughout the sales process, answering in-depth technical questions, resolving concerns, and providing insights on how a product can integrate with the customers current systems. In complex environments, they may offer consulting services, such as architectural design, capacity planning, and scalability assessments to ensure the proposed solution is viable and effective for the client’s needs. Proof of Concept (PoC) Development: Technical presales often spearhead the creation of PoCs, which allow potential customers to test the solution in their own environment. This hands-on approach provides a direct opportunity for clients to verify the solution's functionality and ensure it meets their technical and business needs before making a purchasing decision. PoCs help mitigate risk and showcase the specific advantages of the product or solution being proposed. RFP/RFI Response: Technical presales engineers are often responsible for responding to Requests for Proposals (RFPs) and Requests for Information (RFIs) issued by clients. These documents typically outline the client’s technical and business requirements, and it is the presales engineer’s role to provide detailed technical responses, demonstrating how the proposed solution meets or exceeds these requirements. They collaborate with the sales and product teams to ensure responses are both technically accurate and commercially viable. Competitive Analysis: Technical presales professionals need to be well-versed in competitive products and industry trends. They analyze and compare competitor offerings to highlight the unique advantages of their own solution, helping the sales team position the product effectively. They may also gather market intelligence by understanding customer pain points and how competitors are attempting to address them, which can inform product development and marketing strategies. Collaboration with Sales Teams: Technical presales engineers work closely with account managers, sales executives, and business development teams to align technical solutions with customer needs. Their input is essential in the early stages of the sales process, ensuring the solution is feasible and addresses the client’s challenges. They participate in sales meetings, provide technical expertise, and ensure that the proposed solution is realistic and aligned with customer requirements. Their ability to communicate technical information in a clear, non-technical way is crucial to gaining the trust of both the sales team and customers. Technical Presentations & Demonstrations: Deliver compelling product presentations and system demonstrations to customers and partners. Act as the technical face of the company in presales meetings and workshops. Technical Documentation: Creating and maintaining technical documentation is a key part of the presales role. This can include solution architecture diagrams, technical specifications, and proposal documents. These materials help provide clarity and detail about the proposed solution and its implementation. Customer Engagement: Identify client pain points and opportunities for surveillance solutions. Provide consultative support to build long-term client relationships and trust. Interview process Virtual Skills: Required Skills & Qualifications Bachelor's degree in Electronics, IT, Telecommunications, or a related technical discipline. 3+ years of experience in a presales or technical consulting role within the electronic surveillance or security industry. Solid understanding of: CCTV (Analog, IP-based systems) Access Control Systems Video Analytics / AI-based Surveillance VMS (e.g., Milestone, Genetec, Axis, etc.) Intrusion Detection & Perimeter Security Proficiency in Visio, and MS Office suite. Strong presentation and communication skills. Ability to translate technical features into customer benefits. Experience with tenders and solution costing. Preferred Qualifications Certifications in surveillance technologies (e.g., Axis Certified , HID Certified, Genetec Certified, Milestone Certified, etc.) Knowledge of networking fundamentals, IoT, and cybersecurity in surveillance systems. Experience with integration platforms and PSIM solutions. Regional market knowledge and experience with government/commercial security projects. What We Offer Competitive salary and performance incentives Opportunity to work with cutting-edge surveillance technologies Professional development and certification support Collaborative, tech-driven work environment Any other additional information Commitment Clause of 3 Years ATGS official Email nived@atgs.co.in ; Akilan@atgs.co.in ATGS SPOC Contact number 7411736370 ; 7259390897

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

Title: Solution Architect -Presales Location: Mumbai(2position), Bangalore and Delhi Position - 4 Department: Pre-Sales Role Overview: As a Solution Architect, you will be responsible for understanding the customer requirements and architects the solutions to drive technical engagement with customers and partners. You will play a critical role in positioning the solutions, designing winning proposals, and ensuring seamless deployment in collaboration with the sales, product, and R&D teams. Key Responsibilities: Pre-Sales Leadership & Strategy: Develop and execute a pre-sales strategy to support business growth. Lead customer & partner engagement for assigned territory, ensuring alignmentwith sales and product teams. Engage with key stakeholders to understand market needs and translate them into technical solutions. Solution Architecture & Technical Consultation: Design and propose technical solutions tailored to customer requirements. Conduct product demonstrations, proof of concepts (PoCs), and workshops. Work closely with the sales team to create compelling value propositions for customers. Customer Engagement & Relationship Management: Build strong relationships with customers, partners, and system integrators. Provide deep technical expertise to support sales pitches, RFPs, and tenders. Address customer concerns and technical objections effectively. Collaboration & Enablement: Act as a bridge between sales, product management, and engineering teams. Provide insights to the product team for future enhancements based on customer feedback. Train internal teams and partners on the solutions and industry trends. Industry & Technology Expertise: Stay updated on industry trends, competitive landscapes, and emerging technologies. Represent the organization at industry events, webinars, and trade shows. Drive innovation by exploring new use cases and solution improvements Key Requirements: Technical Skills & Experience: 8-12 years of experience in pre-sales, solutions engineering, or technical consulting with a leading OEM in technology space. Preferably in video management, video analytics, AI, surveillance, or security solutions. Strong knowledge of Video, AI, IoT, and cloud-based security solutions. Experience in designing large-scale solutions for large enterprise and/or public sector customers. Expertise in network infrastructure, video streaming, edge computing, and storage solutions. Soft Skills: Strong presentation, negotiation, and communication skills. Ability to work in a fast-paced environment and manage multiple projects. Hands-on experience in video computing, AI or relevant industry solution/product is preferred. Education & Certifications: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Industry certifications in video security, AI, cloud computing, or networking are a plus

Description We are seeking a skilled CCTV Technician to join our team in India. The ideal candidate will have experience in installing, maintaining, and troubleshooting CCTV systems. You will play a crucial role in ensuring the security and surveillance needs of our clients are met. Responsibilities Install and configure CCTV camera systems and related equipment. Conduct regular maintenance and troubleshooting of CCTV systems. Ensure all installations meet safety and quality standards. Provide technical support and training to clients on system usage. Assist in the design and layout of CCTV systems for optimal coverage. Document installation processes and maintain records of work performed. Skills and Qualifications 1-3 years of experience in CCTV installation and maintenance. Proficient in the use of various CCTV technologies and equipment. Understanding of networking concepts and IP camera configuration. Knowledge of video surveillance software and systems. Strong problem-solving skills and attention to detail. Ability to work independently and as part of a team. Good communication skills to interact with clients and colleagues.