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Benefits and Perks
Our employees are the pillars of our company and here's how we take care of their well-being!
Flexible Work Options
Work from office, home, or flexible timings that help you balance work and personal life.
Continuous Learning & Growth
Learn new skills through training, daily practice, and programs that help you grow at work.
Comprehensive Health & Wellness
Get health insurance for you and your family, wellness support, and sports activities for yourself.
Generous Time-Off
Take paid leave to rest, enjoy special moments, and manage important personal needs.
Performance Bonuses & Recognition
Get rewards and appreciation for your hard work, good results, and dedication.
openings
We're Hiring! Your skills are valued
Katomaran is looking for talented and skilled professionals from the tech and design domain to be a part of a revolutionary company that's shaping the future of technology.
To apply for any of the below positions, email your updated resume/CV to hr@katomaran.com
Senior Video Analytics (VA) Developer
Katomaran Technologies is looking for an experienced Senior Video Analytics Developer to design, develop, and deploy AI-powered video analytics solutions. The ideal candidate should have strong expertise in computer vision, deep learning, and real-time video processing, with experience in developing scalable video analytics applications for surveillance, industrial automation, smart cities, and security solutions.
Qualification
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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, or a related field.
Nice to Have
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Experience deploying AI applications on edge devices and embedded vision systems.
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Familiarity with Kubernetes, cloud platforms (AWS, Azure, or GCP), and messaging technologies such as Kafka, RabbitMQ, or MQTT.
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Knowledge of MLOps practices, AI model optimization, and model lifecycle management.
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Experience in Video Analytics domains such as Smart Surveillance, Traffic Analytics, Industrial Safety, Retail Analytics, Smart Cities, or Intelligent Transportation Systems (ITS).
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Experience with NVIDIA Triton Inference Server or other AI model serving frameworks.
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Understanding of CI/CD pipelines and DevOps practices for AI application deployment.
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Ability to lead technical initiatives, mentor team members, and drive engineering best practices.
Responsibilities
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Design, develop, and maintain production-grade AI-powered video analytics applications for real-time video processing.
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Architect and build scalable end-to-end video analytics pipelines using GStreamer, DeepStream, OpenCV, FFmpeg, and RTSP/HTTP streaming protocols.
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Develop and optimize computer vision solutions for object detection, multi-object tracking, image classification, semantic/instance segmentation, face analytics, license plate recognition, and activity recognition.
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Optimize AI inference performance using NVIDIA TensorRT, CUDA, ONNX Runtime, DeepStream SDK, and GPU acceleration techniques to maximize throughput and minimize latency.
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Deploy, configure, and maintain video analytics applications on NVIDIA Jetson platforms, edge AI devices, and GPU-based Linux servers.
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Design and deploy large-scale video analytics solutions supporting hundreds to thousands of IP cameras in production environments with high availability and fault tolerance.
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Integrate AI applications with IP cameras, CCTV systems, VMS platforms, cloud services, databases, message brokers, REST APIs, and backend microservices.
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Develop robust streaming pipelines capable of handling multiple concurrent video streams with efficient resource utilization, batching, and hardware acceleration.
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Profile and optimize CPU, GPU, memory, and network performance to improve system scalability, reliability, and real-time processing capabilities.
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Troubleshoot complex production issues related to video streaming, DeepStream pipelines, GStreamer plugins, AI inference, hardware acceleration, and distributed deployments.
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Collaborate closely with AI/ML Engineers, Backend Developers, Embedded Engineers, DevOps, and QA teams throughout the product lifecycle.
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Mentor junior engineers through technical guidance, architecture reviews, code reviews, debugging support, and engineering best practices.
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Contribute to software architecture decisions, technical documentation, coding standards, CI/CD practices, and system design improvements.
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Evaluate and adopt emerging technologies in Computer Vision, Edge AI, GPU computing, and Video Analytics to continuously improve the product.
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Ensure production readiness by implementing monitoring, logging, automated recovery mechanisms, health checks, and performance benchmarking.
Requirements
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5–8 years of experience in Computer Vision, Video Analytics, or AI application development.
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Strong proficiency in Python and/or C++.
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Hands-on experience with OpenCV, PyTorch, TensorFlow, or similar deep learning frameworks.
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Experience working with NVIDIA DeepStream, GStreamer, and FFmpeg.
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Good understanding of computer vision and deep learning concepts.
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Experience with real-time video streaming protocols such as RTSP, RTP, and ONVIF.
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Knowledge of GPU acceleration technologies including CUDA, TensorRT, and NVIDIA Jetson platforms.
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Experience with Linux, Docker, Git, and REST API integration.
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Familiarity with databases, message brokers (Kafka, RabbitMQ, MQTT, or Redis), and cloud or edge deployments is an advantage.
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Strong analytical, debugging, and problem-solving skills.
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Good communication skills and the ability to work effectively in a collaborative team environment.
Benefits
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Medical insurance
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Paid sick time
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Paid time off
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PF
Video Analytics (VA) Developer
Katomaran Technologies is a cutting-edge technology company specializing in AI-driven solutions across Video Analytics, Computer Vision, Large Language Models (LLMs), and intelligent automation. We are looking for a passionate and motivated Video Analytics (VA) Developer to join our growing AI team. This role is ideal for fresh graduates or professionals with up to one year of experience who are eager to build real-world AI-powered video analytics applications and grow their expertise in Computer Vision.
Qualification
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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronics, Information Technology, or a related field.
Nice to Have
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Basic understanding of video streaming protocols such as RTSP and RTMP.
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Exposure to edge AI platforms such as NVIDIA Jetson.
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Knowledge of model deployment using Docker or REST APIs.
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Programming knowledge in C++ will be an added advantage.
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Basic understanding of AI Agents or Large Language Models (LLMs) is a plus.
Responsibilities
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Develop and implement Video Analytics solutions using Computer Vision and Deep Learning techniques.
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Build and optimize AI models for object detection, object tracking, image classification, activity recognition, and video analysis.
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Work with image and video datasets for data collection, annotation, preprocessing, and model evaluation.
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Integrate AI models with real-time video streams and surveillance systems.
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Collaborate with senior developers to develop scalable and efficient video analytics applications.
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Perform model testing, debugging, optimization, and performance tuning.
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Develop Python-based applications for video processing and AI inference.
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Assist in deploying AI models on edge devices and cloud platforms.
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Document development activities and follow coding standards and best practices.
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Stay updated with the latest advancements in Computer Vision, Video Analytics, and Artificial Intelligence.
Requirements
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1 year of experience in Computer Vision, Video Analytics, or Artificial Intelligence.
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Strong programming skills in Python.
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Good understanding of Computer Vision and Image Processing concepts.
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Hands-on experience with OpenCV.
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Basic knowledge of Deep Learning frameworks such as PyTorch or TensorFlow.
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Familiarity with object detection and tracking models such as YOLO, SSD, Faster R-CNN, or similar architectures.
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Basic understanding of Machine Learning and Deep Learning concepts.
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Familiarity with Linux environments and Git version control.
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Strong analytical, problem-solving, and debugging skills.
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Good communication skills and a willingness to learn new technologies.
Benefits
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Medical insurance
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Paid sick time
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Paid time off
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PF
Project Manager
Katomaran Technologies is looking for an Associate Project Manager to join its development team. The person will be responsible for understanding requirements from upper management and clients, conducting daily progress meetings among the development teams, collecting work progress reports, and keeping a check on the progress. The person will also have to keep continuous interactions with the client and maintain relations with them.
Qualification
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Degree in MBA and passion to manage people.
Responsibilities
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Need to manage the resource of time and deployment deliverables.
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Plan and implement projects.
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Help define project scope, goals and deliverables.
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Manage budget and allocate project resources.
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Create a schedule and project timeline.
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Implement and manage change when necessary to meet project outputs.
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Evaluate and assess the result of the project.
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Answering emails related to the execution or maintenance of a project.
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Delegate responsibilities to the team members.
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Update workflows and communicate/coordinate effectively with team members to ensure continuity of work.
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Conduct regular team meetings on projects (daily, weekly, and sprint meetings), gather status reports and tackle any new issues.
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Prepare product-related proposals/documentation.
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Coordinating with the clients, checking in with the client or other stakeholders to update them on the project’s progress.
Requirements
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Good communication skills.
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Strong analytical and negotiating skills.
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Skills Required: Agile, Scrum
Benefits
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Medical insurance
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Paid sick time
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Paid time off
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PF
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Awards
Life at Katomaran
Guided by innovation and driven by excellence, we're committed to transforming businesses through cutting-edge technology solutions.
