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4.0 - 8.0 years
6 - 10 Lacs
Mumbai, Bengaluru, Delhi / NCR
Work from Office
We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing Be a part of an Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX) Build efficient computer vision pipelines and optimize models for real-time performance Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations Required Skills: Expert in Python, OpenCV, NumPy, and deep learning architectures (eg, ViTs, YOLO, Mask R-CNN) Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks Experience in 3D vision, AR/VR, or LiDAR processing is a plus Nice to Have: Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks Exposure to generative AI models (eg, Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask) Research publications or patents in computer vision and deep learning Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad
Posted 2 weeks ago
1.0 - 6.0 years
1 - 5 Lacs
Mumbai Suburban, Navi Mumbai, Mumbai (All Areas)
Work from Office
We have an Urgent #hiring for a LiDAR Executive Processing at Genesys International Corporation Ltd , ( Work from Office ) SEEPZ, Andheri (E) Mumbai. Job Title: LiDAR Executive Processing Experience: 1 to 5 Years Location: Work from Office (Mumbai Location) Job Summary: We are seeking a skilled and detail-oriented LiDAR Executive – Processing to join our geospatial team. The ideal candidate will have hands-on experience in processing LiDAR data for a variety of mapping, engineering, and infrastructure projects. This role requires expertise in LiDAR data classification, editing, and deriving value-added products. Mandatory Responsibilities: Process raw LiDAR data to generate classified point clouds using standard classification schemas (e.g., ASPRS). Perform quality assurance and quality control (QA/QC) checks on processed data. Generate and edit Digital Elevation Models (DEM), Digital Surface Models (DSM), and contours. Interpret LiDAR datasets for ground, vegetation, and building classification. Use LiDAR processing software tools (e.g., TerraScan, LP360, Global Mapper, LASTools ). Work with orthophotos and LiDAR in combination for accurate terrain mapping. Document processing workflows and ensure data meets client/project specifications. Coordinate with project managers and QA teams to meet project timelines. Educational Qualifications: Bachelor’s / Master’s degree in Geoinformatics, Remote Sensing, Geography, Geology, Civil Engineering, or a related field. Certifications in LiDAR data processing or GIS tools (preferred but not mandatory). Required Skills: Proficiency in LiDAR processing tools: TerraScan, TerraModeler, Global Mapper, LP360, LASTools Experience with GIS software such as ArcGIS, QGIS, AutoCAD Map Good understanding of geospatial data formats (LAS/LAZ, DEM, DSM, DTMs) Strong analytical and problem-solving skills Attention to detail in classification and editing Basic scripting knowledge (Python or similar) – optional but a plus Strong communication and documentation skills Preferred Experience: Minimum 1 year of hands-on LiDAR processing experience Up to 5 years of relevant geospatial or LiDAR experience Experience in aerial or mobile LiDAR datasets Familiarity with working on large-scale infrastructure or utility projects Thanks & Regards, HR Team, Genesys International Corporation Ltd, https://www.igenesys.com/
Posted 3 weeks ago
5 - 10 years
12 - 22 Lacs
Faridabad
Work from Office
Position - Senior Perception Engineer Locations: Faridabad, Haryana, India Minimum Experience: 5+ Years Education Qualification: BTech/MTech / PHD Work Mode - Hybrid We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 (Robotics processing system) Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning If interested, send your updated CV in word attachment with following details to ankur@beanhr.com.
Posted 2 months ago
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