368 Lidar Jobs - Page 7

Hiring specifications Job Purpose: OEM Engineering Lead will be responsible to drive the development and integration of Advanced Driver Assistance Systems (ADAS) products. This role requires deep technical expertise in ADAS technologies, system integration, and OEM collaboration. The ideal candidate will act as the technical lead, ensuring smooth execution of ADAS programs from concept to production while interfacing with internal and external stakeholders. This role requires a deep understanding of automotive engineering, ADAS technologies, and integration processes. Role Expectations: Oversee the engineering design, development, and integration of ADAS components, including sensors, cameras, radar, lidar, and control systems. Work closely with hardware and software teams to ensure seamless system integration into OEM vehicle platforms. Manage technical risk assessments and propose mitigation strategies. Act as the primary technical interface between the company and OEM customers for ADAS product development. Lead discussions on system integration, requirements, and validation processes. Ensure alignment between OEM requirements and internal engineering capabilities. Manage technical reviews, design reviews, and program milestones with OEMs. Monitor project progress, identify risks, and implement corrective actions as needed. Drive continuous improvement initiatives and best practices in ADAS development. Reporting structure: Role will report into Product and Technology Head Interactions: Internal Stakeholders: Engineers from product development External Stakeholders: Customers/Clients II. PEOPLE SPECIFICATIONS Profile: Ideally ~BE or B.Tech in Mechanical Engineering or Industrial engineeringwith 8-12 years Bachelor’s or Master’s degree in CSE, Electrical Engineering, Automotive Engineering, or a related field. Requisites: Strong knowledge of ADAS technologies Hands-on experience in ADAS system design, integration, and validation. Proven track record of working with OEMs and Tier 1 suppliers in the automotive industry. Strong foundation in automotive engineering, embedded systems, and control systems. Experience leading technical discussions, product integration, and system validation with OEMs. Competencies: Technical: Strong understanding of ADAS technologies, sensors (Camera, Radar, LiDAR), and perception algorithms. Experience in vehicle integration, system engineering, and E/E architecture. Proficiency in automotive communication protocols (CAN, LIN, Ethernet, FlexRay). Behavioural: Hi Tech way of working: We value behavior aligned with CCODERS Customer First: Operate with customer success mind set and align all our actions accordingly. Collaborative problem solving: Organisation interest supersedes individual interests; working together to solve problems effectively. Ownership & Commitment: Going above & beyond the call of duty while also keeping up with the promises & targets under any circumstances. Data Driven, First Principle : Objective Decision making based on data (Not on Hunches) Expanding-Growth Mind set: Be open to new challenges whilst willing to step out of comfort zone in order to learn and grow. Result & commercial orientation: Manage cost and resources to achieve business outcomes & commercial success. Speed and Scalable Process Approach: Deploy processes that are flexible, agile and unlocks business value with speed. Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Schedule: Day shift Work Location: In person

3 vacancies, 1 each in the labs of: ADAS and Autonomous Driving Automotive Cybersecurity Electric & Hybrid Vehicles Primary Responsibilities: Lab deployment: Deploy labs to the WILP students as per the course requirement and assess the lab components on time under the guidance of course faculty Lab development: Autonomous vehicle development - support the responsible faculty and the Experiential Learning Lead (ELL) from initiation, through proposal, procurement, commissioning, installation and development Develop lab exercises under the guidance of course faculty Support the creation of audio-visuals for marketing/training purposes Lab maintenance: Work with the Experiential Learning Lead (ELL) and the respective lab faculty for maintenance of lab equipment, and upkeep of software licenses Student support : Prompt resolution of student queries related to labs

Job Title: Robotics Engineer - ROS2 Development Job Overview : We are seeking a highly skilled and motivated Robotics Engineers with a strong focus on ROS2 development to join our dynamic team. As a Robotics Engineer, you will be responsible for designing, developing, and implementing advanced robotic systems and applications using the Robot Operating System 2 (ROS2). You need to develop the behavioral and control systems, including planning and navigation needed for autonomous robots. This role requires a deep understanding of robotic software architecture, proficiency in ROS2, and experience with hardware integration and real-time systems and expertise in URDF (Unified Robot Description Format). Key Responsibilities : Design and Development : Develop robust and scalable robotic applications using ROS2. Implement software for various robotic systems, ensuring high performance and reliability. Hand-on with developing ROS2 nodes, Services/Clients, Publishers/Subscriber. Lead and develop path/motion planning algorithms that include route planning, trajectory optimization, decision making, and open space planning. Good understandings of Robot dynamics, kinematics and modeling. System Integration : Integrate sensors, actuators, and other hardware components with robotic systems. Ensure seamless communication between hardware and software layers. Experienced on integration with perception sensors such as IMU, GPS, Stereo Cameras, Lidar, Radar, and various other sensors. URDF Modeling : Create and maintain accurate URDF models for robotic systems. Ensure models accurately represent the physical configuration and kinematics of the robots. Algorithm Implementation : Implement and optimize algorithms for perception, localization, mapping, navigation, and control. Simulation and Testing : Utilize simulation tools to test and validate robotic systems in virtual environments like Gazebo, Rviz2 and Unity. Perform rigorous testing in real-world scenarios to ensure system robustness. Documentation : Create and maintain comprehensive documentation for system architecture, design decisions, algorithms, and user guides. Research and Development : Stay updated with the latest advancements in robotics and ROS2, and URDF. Contribute to the continuous improvement of development processes and tools. Education Background: B.Tech (Mechatronics, Robotics , Mechanical, Electrical)

Job Summary: We are looking for a highly experienced LiDAR Engineer/ Senior LiDAR Engineer to lead the processing, analysis, and interpretation of LiDAR data for high-impact projects. The ideal candidate will bring deep technical expertise in LiDAR systems, 3D point cloud processing, and geospatial data integration to support decision- making in engineering, infrastructure, and remote sensing applications. Key Responsibilities: • Lead the end-to-end processing of airborne, terrestrial, and mobile LiDAR datasets • Perform quality control (QA/QC) and validation of LiDAR-derived products • Develop automated workflows for point cloud classification, feature extraction, and surface modelling • Integrate LiDAR with GIS, imagery, CAD, and other geospatial datasets • Support the development of digital terrain models (DTM), digital surface models (DSM), and 3D mapping products • Optimize and manage large-scale geospatial data storage and delivery solutions • Collaborate with managers, GIS specialists to ensure data accuracy • Mentor junior LiDAR engineers and provide technical support inside the team. Qualifications: Required: • Bachelors or Masters degree in Geomatics, Remote Sensing, Civil Engineering, Geography, or related field • 3+ years of experience in LiDAR data processing and 3D geospatial analytics • Proficiency with tools such as Microstation connect edition, TerraScan, LAStools, Global Mapper • Strong understanding of coordinate systems, geodesy, and geospatial data standards • Familiarity with GIS software (ArcGIS, QGIS) and 3D visualization platforms Preferred: • Experience with LiDAR for transportation, utility, forestry, or autonomous systems • Knowledge of photogrammetry, radar, or multispectral imagery integration • Familiarity with cloud platforms for LiDAR data management (e.g., AWS, Google Earth Engine) Soft Skills: • Excellent problem-solving and critical-thinking skills • Strong communication and leadership abilities • Proven ability to manage technical tasks across multiple projects • High attention to detail and quality assurance

Read Before Applying Candidates available to join within 15–30 days will be preferred. What we’re building demands hard work, tenacity, ownership, creativity, and significantly more man-hours than an average job. If you prefer routine over the dynamic unpredictability of innovation, Astr isn’t for you. Our fast-paced environment requires curiosity, resilience, a passion for continuous learning, and comfort with rapid change. Why You Should NOT Join Us If high stakes, tight deadlines, and significant challenges don’t excite you, then our mission to revolutionize defence technology might not align with your career goals. We seek individuals ready to push boundaries and motivated by urgency and impact. Why You SHOULD Join Us We offer the opportunity to work on groundbreaking projects that strengthen national defence , supported by a team of A-players . About This Role We are seeking a Computer Vision Engineer to develop and implement cutting-edge vision-based algorithms for long-range surveillance and defence applications . The ideal candidate will have prior experience working on thermal cameras, long-range object detection, or visual surveillance systems . You will play a key role in designing and developing real-time object detection and tracking solutions for our next-generation defence products. This role requires expertise in Deep Learning, Computer Vision, and Embedded AI . Key Responsibilities ✅ Computer Vision Algorithm Development Develop, optimize, and implement object detection and tracking algorithms . Work on small object detection and long-range target tracking using visible spectrum and thermal imaging . ✅ Deep Learning & AI Implementation Train and fine-tune CNN-based models (YOLO, Faster R-CNN, SSD, etc.) for real-world defence applications. Deploy deep learning models on edge devices (Nvidia Jetson, ARM-based processors, etc.) . ✅ Hardware Integration & Optimization Collaborate with the embedded team to ensure real-time inference on low-power devices . Optimize algorithms for low-latency and power-efficient operation . ✅ Testing & Deployment Conduct field testing and performance evaluation of computer vision models in real-world environments . Work with defence teams to integrate vision-based solutions into weapon systems and surveillance platforms . Requirements 🔹 Must-Have Skills 1–5 years of experience in Computer Vision / AI / Deep Learning . Hands-on experience with thermal imaging, long-range surveillance, or security systems . Proficiency in Python, C++, OpenCV, TensorFlow, PyTorch, or YOLO . Strong understanding of CNNs, object detection, and real-time tracking . Experience deploying models on Jetson, Raspberry Pi, or ARM-based edge devices . Understanding of multi-threading, real-time processing, and hardware acceleration (CUDA, OpenCL) . 🔹 Good-to-Have Skills Experience with sensor fusion (LiDAR, Radar, IR cameras, etc.) . Knowledge of SLAM, motion prediction. Prior work in defence, aerospace, or surveillance applications . What We Expect from You ✅ Genuine curiosity and a problem-solving mindset . ✅ Execution, not just ideas —we value doers over talkers . ✅ Ability to work in a high-pressure, fast-paced environment . ✅ A strong sense of ownership and accountability . What You Can Expect from Us 🚀 The chance to work on hard, meaningful problems that directly impact national security . 💡 An A-team of high-energy, high-performance individuals. ⚡ High levels of responsibility and the ability to take ownership. 🎯 A mission-driven environment where your work truly matters . About Astr Defence Astr Defence is an award-winning Indian Defence Manufacturer pioneering next-generation armaments and counter-drone solutions to address modern security challenges . We collaborate with India’s elite forces to develop mission-critical technologies.

I. Hiring specifications Job Purpose: OEM Engineering Lead will be responsible to drive the development and integration of Advanced Driver Assistance Systems (ADAS) products. This role requires deep technical expertise in ADAS technologies, system integration, and OEM collaboration. The ideal candidate will act as the technical lead, ensuring smooth execution of ADAS programs from concept to production while interfacing with internal and external stakeholders. This role requires a deep understanding of automotive engineering, ADAS technologies, and integration processes. Role Expectations: Oversee the engineering design, development, and integration of ADAS components, including sensors, cameras, radar, lidar, and control systems. Work closely with hardware and software teams to ensure seamless system integration into OEM vehicle platforms. Manage technical risk assessments and propose mitigation strategies. Act as the primary technical interface between the company and OEM customers for ADAS product development. Lead discussions on system integration, requirements, and validation processes. Ensure alignment between OEM requirements and internal engineering capabilities. Manage technical reviews, design reviews, and program milestones with OEMs. Monitor project progress, identify risks, and implement corrective actions as needed. Drive continuous improvement initiatives and best practices in ADAS development. Reporting structure: Role will report into Product and Technology Head Interactions: Internal Stakeholders: Engineers from product development External Stakeholders: Customers/Clients II. PEOPLE SPECIFICATIONS Profile: Ideally ~ BE or B.Tech in Mechanical Engineering or Industrial engineering with 8-12 years Bachelor’s or Master’s degree in CSE, Electrical Engineering, Automotive Engineering, or a related field. Requisites: Strong knowledge of ADAS technologies Hands-on experience in ADAS system design, integration, and validation. Proven track record of working with OEMs and Tier 1 suppliers in the automotive industry. Strong foundation in automotive engineering, embedded systems, and control systems. Experience leading technical discussions, product integration, and system validation with OEMs. Competencies: Technical: Strong understanding of ADAS technologies, sensors (Camera, Radar, LiDAR), and perception algorithms. Experience in vehicle integration, system engineering, and E/E architecture. Proficiency in automotive communication protocols (CAN, LIN, Ethernet, FlexRay). Behavioural: Hi Tech way of working: We value behaviour aligned with CCODERS Customer First: Operate with customer success mind set and align all our actions accordingly. Collaborative problem solving: Organisation interest supersedes individual interests; working together to solve problems effectively. Ownership & Commitment: Going above & beyond the call of duty while also keeping up with the promises & targets under any circumstances. Data Driven, First Principle : Objective Decision making based on data (Not on Hunches) Expanding-Growth Mind set: Be open to new challenges whilst willing to step out of comfort zone in order to learn and grow. Result & commercial orientation: Manage cost and resources to achieve business outcomes & commercial success. Speed and Scalable Process Approach: Deploy processes that are flexible, agile and unlocks business value with speed.

Company Name: ARAPL RaaS Pvt. Ltd. Location : Gurgaon, Pune Mode: Work From Office (WFO) / Hybrid Who We Are ARAPL RaaS Pvt. Ltd is a leading technology company specializing in Robotics as a Service (RaaS). We are at the forefront of innovative autonomous solutions, with a focus on developing cutting-edge autonomous mobile robots (AMRs). We are seeking a dynamic and experienced Lead Project Manager to spearhead the development of our autonomous forklift AMR. The successful candidate will play a critical role in assembling a technical team, managing the project's progress, controlling the budget, and establishing key supplier relationships. What We Need We are seeking a highly motivated and experienced Lead Robotic Engineer specializing in Perception to join our dynamic team and play a critical role in the development and implementation of advanced robotic perception and computer vision systems for our robots. The ideal candidate will be responsible for leading and guiding a team of engineers in designing, developing, and deploying robust and efficient algorithms for object detection, tracking, scene understanding, and semantic segmentation. Additionally, the candidate will utilize 3D cameras and LiDAR's to enhance the accuracy and precision of object recognition in various environments. This role offers an exciting opportunity to contribute to cutting-edge robotics technology and make a significant impact on the field. The ideal candidate will also be responsible for staying abreast of the latest advancements in the field and driving innovation within the team. Job Description Lead, mentor, and manage a team of engineers developing robotic perception and computer vision systems. Architect, design, and deploy deep learning and classical vision algorithms for: Multi Object and Single Object detection and tracking Object classification and re-identification Semantic and instance segmentation Scene understanding and Free-Space detection Develop robust sensor fusion models using LiDAR, stereo/depth cameras, and IMU/GPS. Ensure real-time performance and efficient computation on edge devices (e.g., NVIDIA Jetson, x86 systems). Own perception subsystem integration with the full autonomy stack (navigation, planning, control). Perform extensive validation via simulations and real-world testing in warehouses and factories. Collaborate cross-functionally with navigation, controls, systems engineering, and product teams. Maintain high-quality documentation, architecture diagrams, and code standards. Utilize deep learning, classical CV, and geometric methods for robust real-time performance. Drive innovation through research, evaluation of emerging technologies, and PoCs. Skill Sets Required Ph.D. or master's degree in Robotics, Computer Vision, Electrical Engineering, or related field. 4-7 years’ of demonstrated experience in developing and deploying perception systems for robots. Strong proficiency in programming languages such as Python, C/C++ Hands-on knowledge of data structures and algorithms for point cloud processing and are familiar with ROS/ROS2, OpenCV and PCL Expertise with tools and libraries like OpenCV, PCL, Tensor RT, Py Torch. Experience in tracking-by-detection, sensor calibration, and point cloud processing Hands-on experience with LiDARs (e.g., Velodyne, Ouster) and 3D cameras (e.g., ZED, Intel RealSense). Familiarity with ADAS concepts such as forward collision warning, object avoidance zones, and fail-safe sensing.\ Hands-on experience with 3D cameras and LiDARs for perception applications. Strong communication and leadership skills Passion for robotics and a desire to push the boundaries of technology. Benefits Competitive salary with performance-based bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and continued education. Collaborative and innovative work environment.

Company Description Welcome to Ark Spaces, a leading interior design and construction firm dedicated to transforming spaces into exceptional experiences. With a focus on innovation and craftsmanship, Ark Spaces offers a wide range of services including interior designing, modular interiors, waterproofing, renovations, LiDAR scanning, pest control, and home decor. Our mission is to revolutionize the building solutions industry through transparent communication, seamless project management, and a relentless pursuit of excellence. Role Description This is a full-time on-site Interior Site Supervisor role located in Chennai at Ark Spaces. The Interior Site Supervisor will be responsible for overseeing and managing on-site construction activities, coordinating with subcontractors and suppliers, ensuring quality control, and maintaining project timelines. The role also involves collaborating with the design team to bring projects to life according to client specifications. Qualifications Experience in construction site supervision and project management Knowledge of interior design principles Strong communication and leadership skills Ability to read and interpret blueprints Attention to detail and problem-solving skills Experience in coordinating with subcontractors and suppliers Knowledge of relevant building codes and regulations Ability to work in a fast-paced environment

Role & responsibilities Ability to interpret satellite imagery, DEMs, and LULC datasets Interpretation of satellite imageries and preparation of a base map for large regions Collaborate with ground survey teams to integrate data into GIS databases Create orthomosaic maps, 3D models, DEM, DSM, DTM, Contours Prepare detailed GIS-based maps, layouts, and drawings using ArcGIS, AutoCAD, and other GIS tools Digitize, edit, maintain spatial datasets (land use, topography, utility networks) Perform spatial analysis, georeferencing, and data conversion from various formats Ensure accuracy & consistency of spatial data by validating and updating GIS layers Support urban planning and regional development projects with thematic mapping and data visualization Generate reports, presentations, and documentation related to GIS outputs Rubber sheet Cadastral Maps Preferred candidate profile •Degree - Remote Sensing, Geoinformatics, Geography, Urban Planning related field •Minimum 3 years of experience •Must have proven experience of working in 1 large GIS based regional plans and 1 GIS based urban development project

Job Title: Developer – SLAM Framework (Ground-Fusion++) Location: Remote (India) Job Type: Full-Time | Remote | Research-Based Role Industry: Robotics, Autonomous Systems, AI Research Seniority Level: Mid-Senior Level Experience Required: 2–6 years About the Role We are looking for an experienced Developer to join our research and engineering team to contribute to Ground-Fusion++ , a Resilient Modular Multi-Sensor Fusion SLAM Framework , part of our IROS 2025 accepted paper: 📝 "Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and a Resilient Framework" You will be at the forefront of SLAM innovation, building robust, real-world solutions for ground robots operating in degraded conditions using heterogeneous sensor data (GNSS, LiDAR, IMU, RGB-D, wheel odometers, etc.). As per our initial screening process, please fill out this form: https://forms.gle/9g8qwE5cjS3H7iwH7 Responsibilities Develop, test, and optimize the Ground-Fusion++ SLAM framework . Integrate and calibrate multiple sensors (LiDAR, RGB-D, IMU, GNSS, wheel odometry). Implement modular, extensible SLAM components for mapping and localization. Collaborate with a team of researchers and contribute to open-source releases. Support benchmarking and experiments using the M3DGR dataset. Required Qualifications Bachelor's/Master’s/PhD in Robotics, Computer Science, Electrical Engineering, or related fields. Proficient in C++ and Python for robotics system development. Hands-on experience with ROS/ROS2 and multi-sensor data fusion. Prior work with SLAM algorithms (e.g., LIO-SAM, Cartographer, ORB-SLAM). Strong grasp of 3D perception, probabilistic estimation, and real-time performance. Preferred Qualifications Experience working with GNSS-denied or degraded environments. Published or contributed to SLAM frameworks or datasets. Understanding of real-time embedded systems or robotic platforms. Experience contributing to academic papers or open-source projects. What We Offer Opportunity to work on cutting-edge SLAM research accepted at IROS 2025 . Full remote flexibility with global collaboration. Access to state-of-the-art benchmarks (M3DGR) and datasets. High-impact work bridging academia and real-world deployment. How to Apply Apply directly on LinkedIn or send your resume and GitHub/portfolio to pratiksha@meetwork.today & uma@meetwork.today with the subject: Developer Application – Ground-Fusion++ .

AI/ML/CV engineer with expertise in intelligent system design, deep learning, and sensor integration. Proficient in Python, Tensor Flow, PyTorch; skilled in hardware interfacing, cloud/edge deployment, and optimization.

Good communication Presentable skill B.tech and Diploma are eligiable Job Types: Full-time, Permanent, Fresher Pay: ₹10,281.51 - ₹36,606.07 per month Benefits: Health insurance Leave encashment Paid time off Provident Fund Schedule: Day shift Work Location: In person

Job Title: LiDAR Engineer Experience: 1+ Years Location: Hassan/Bangalore/Hyderabad Employment Type: Full-time Click the Below Link to Register Yourself for this Job: https://forms.gle/C1fYk7WSEjAB7Vjs5 Job Summary: We are seeking a skilled LiDAR Engineer with 1+ years of hands-on experience in LiDAR. The ideal candidate should be proficient in both 2D and 3D mapping, advance, ground and powerline classification, and the classification of above-ground features. Key Responsibilities: Perform LiDAR data classification for T&D network projects. Execute 2D and 3D mapping and modeling with accuracy and efficiency. Classify terrain and above-ground features based on project requirements. Collaborate with the project team to interpret and analyze LiDAR data. Ensure timely delivery of high-quality classified datasets. Maintain documentation and support project reporting. Required Skills & Qualifications: Bachelors degree in Geomatics, Geospatial Engineering, Remote Sensing, or a related field. 1+ years of relevant experience in LiDAR classification projects ( Advance, Powerline and Ground ). Proficient in LiDAR processing software such as TerraScan, Terra Model, Terra Photo. Proficient in Microstation Connect Edition V8 Software

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). 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 OfficeHyderabad 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 (e.g., 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 (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). 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 OfficeHyderabad 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 (e.g., 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 (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). 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 OfficeHyderabad 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 (e.g., 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 (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). 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 OfficeHyderabad 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 (e.g., 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 (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Key Responsibilities: Utilized Leica Cyclone for registering, visualizing, and processing 3D laser scan data from Laser Scanning. Performed point cloud registration (both target-based and cloud-to-cloud) to create accurate 3D representations of as-built environments. Conducted data alignment and geo-referencing using total station or GNSS coordinates to integrate point clouds with existing CAD systems. Created cleaned, unified point clouds for export into CAD (AutoCAD, Revit) and BIM software for further modeling and documentation. Delivered as-built verification models for construction QA/QC. Supported civil infrastructure projects (bridges, tunnels, plants) with detailed 3D models for clash detection and planning. Tools & Technologies: Leica Cyclone & Cyclone Navigater/ Cyclone REGISTER 360. Worked on data alignment and geo-referencing using total station or GNSS coordinates to integrate point clouds with existing CAD systems.

About The Role We are seeking an experienced Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact. You will serve as a strategic operator and cross-functional influencer , owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability. What The Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment. Use data to drive decisions - analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution. Basic Qualifications 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company. Proven success in managing large-scale, high-precision data programs for AI/ML systems. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes. Experience working cross-functionally with engineering, product, and data science teams. Excellent communication and stakeholder management skills, including experience influencing at senior levels. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring. Strong analytical mindset with the ability to turn raw data into actionable insights. Preferred Qualifications Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications. Experience building dashboards, operational tooling, or feedback loops for data quality. Prior experience at a global tech company, startup, or consulting firm.

Responsibilities and Impact Accurately annotate and label data to support the development and enhancement of data products across Commodity Insights. Collaborate with business subject matter experts, product managers and developers to ensure annotations align with the requirements of various commodity data products. Utilize custom tools and workflows to efficiently process and annotate data at speed, minimizing manual input where possible. Participate in training sessions to enhance annotation techniques and deepen understanding of commodity insights products. Contribute to the continuous improvement of annotation guidelines and processes, ensuring they meet the evolving needs across Commodity Insights. What Were Looking For: Basic Required Qualifications Bachelor's degree or equivalent experience in a relevant field. Strong attention to detail and ability to work with complex data sets. Familiarity with data annotation tools and processes. Excellent communication skills to collaborate effectively with team members. Ability to work independently and manage time efficiently in a fast-paced environment. Additional Preferred Qualifications Experience or knowledge in commodity markets or related fields. Proficiency in using data management and annotation software. Demonstrated ability to adapt to new technologies and processes. Strong analytical skills and problem-solving abilities.

About the Role We are seeking an experienced Program Manager to lead complex, high-impact AI/ML operations in Uber's Global Scaled Solutions (GSS) team. This leader will define, scale, and optimize human-in-the-loop (HITL) programs that support internal and external machine learning initiatives, driving both technical excellence and business impact. You will serve as a strategic operator and cross-functional influencer , owning the end-to-end lifecycle of AV Labeling programs - from stakeholder alignment and SOP design to process optimization, vendor management, and quality assurance. Your work will directly contribute to Uber's AI/ML acceleration by ensuring operational readiness, annotation precision, and long-term tooling scalability. What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Lead complex AI/ML programs focused on 2D/3D LiDAR annotations, object detection, semantic segmentation, and other key annotation workflows. Design and implement scalable data pipelines that support model training, quality control, and real-time feedback loops. Partner with engineering and product teams to identify tooling gaps and deliver long-term process and technology improvements. Manage global vendor operations, including RFPs, performance tracking, and quality governance to ensure best-in-class delivery. Develop standard operating procedures (SOPs) for new data initiatives and guide them from pilot phase to full-scale deployment. Use data to drive decisions - analyze program metrics, uncover insights, and present findings to senior leadership to influence product and business strategy. Create and lead cross-functional collaboration frameworks to ensure alignment across stakeholders and smooth execution. - Basic Qualifications - 7+ years of experience in program management, data operations, or ML lifecycle management, preferably in a high-growth tech or AI-driven company. Proven success in managing large-scale, high-precision data programs for AI/ML systems. Strong understanding of annotation workflows (LiDAR, image, video) and human-in-the-loop (HITL) model training processes. Experience working cross-functionally with engineering, product, and data science teams. Excellent communication and stakeholder management skills, including experience influencing at senior levels. Hands-on experience working with vendors or third-party data partners, including contracting, onboarding, and performance monitoring. Strong analytical mindset with the ability to turn raw data into actionable insights. - Preferred Qualifications - Prior experience working at a high-growth startup, global tech company, or top-tier consulting firm. Background in AI/ML operations, autonomous systems, or large-scale computer vision applications. Experience building dashboards, operational tooling, or feedback loops for data quality. Prior experience at a global tech company, startup, or consulting firm.

Required Skill: Qualifications Education: Any graduate degree, with a preference for STEM fields. Experience: Minimum of one year of experience working on annotation/review of LiDar data, preferably in the ADAS/AV domain, with 3 to 6 months of experience in reviewing annotated LiDar data. Experience working on multiple workflows/guidelines simultaneously is a distinct advantage. Language Skills: Proficient in both written and verbal English, with a minimum CEFR B1 level or equivalent. Technical Skills: Familiarity with multiple computer vision annotation tools. Soft Skills: Ability to work collaboratively in a team environment, follow instructions and guidelines effectively, and maintain a high level of accuracy and attention to detail. Flexibility: Willingness to work flexible shifts and adapt to changing project requirements and timelines. Attitude: A self-starter who enjoys a fast-paced and highly dynamic environment.

Job description Company Description SATPALDA is a leading brand in Geospatial, IT, and Engineering Services with twenty-one years of experience. The company is a certified provider of various remote sensing solutions and has a team of experts with extensive production experience in mapping and IT development services. Role Description This is a full-time on-site role for a Manager Government Sales (G.I.S) at SATPALDA located in Ghaziabad. Manage government sales and associated activities in the commercial geospatial domain with a goal to maximize revenue and profit. Proven track record of consistent high performance and new business acquisition. Sale of satellite imagery products and services such as Aerial Photogrammetry, WebGIS, GIS and LIDAR services. Primary responsibility will be to position company’s products and services to customers from government organisations. Additionally to work closely with OEM partners to position geospatial products for large governmental projects. Must be familiar with government procurement guidelines, GEM and EProcurement. Understands buying process cycle in government (State, Central & PSU) and should be well versed with the dynamics of Government sector. Manages relationship with system integrators to ensure horizontal penetration into accounts. Ability to shape tender specifications and work with government departments to create specifications and requirements. Experience of working with large SIs / Partners on large and complex deals. Regular interaction with existing customers to ensure relationship management. Liaison with industry bodies to keep up with latest opportunities and trends. Participate in conferences and workshops being organized by industry bodies, customers. Monthly reporting along with sales strategy is essential. Experience- Total 5 years ( Required) Government Sales Must Pay- 600,000.00-1,200,000.00 per year. please share resume at coordinator@satpalda.com

Job Description: The Senior Manager of Talent Acquisition and Workforce will be responsible for leading and executing talent acquisition (APAC) strategies to ensure the organization attracts, engages, and hires top talent worldwide. This role will focus on building strong talent pipelines, optimizing recruitment processes, and ensuring alignment with the company's overall business goals and workforce strategy. The Senior Manager will work closely with senior leadership, hiring managers, and HR teams to meet both current and future workforce needs across markets. Key Responsibilities:  Strategic Leadership: Lead the development and execution of a comprehensive talent acquisition strategy that aligns with the company's business objectives and workforce planning needs.  Talent Pipeline Development: Build and maintain a robust talent pipeline, ensuring a continuous flow of high-quality candidates for critical roles across all regions.  Recruitment Process Optimization: Oversee and continuously improve recruitment processes, including candidate sourcing, selection, interviewing, and hiring. Implement best practices and industry standards to enhance efficiency, reduce time-to-fill, and increase candidate satisfaction.  Team Leadership & Development: Manage and mentor a high-performing, diverse team of recruiters across multiple geographies. Provide guidance, training, and performance feedback to ensure professional growth and alignment with team goals.  Collaboration with Senior Leaders: Partner with senior leadership to understand the organizations talent needs, business priorities, and long-term workforce planning. Provide expertise in workforce strategies to drive business success.  Workforce Planning: Collaborate with HR and business leaders to design and implement workforce planning strategies that anticipate current and future talent needs, focusing on both short-term and long-term hiring goals.  Employer Branding: Champion the company's employer brand across all markets. Develop and implement strategies that promote the company as an employer of choice, leveraging both traditional and digital channels to reach top talent.  Data-Driven Decision Making: Utilize analytics and reporting tools to track recruitment metrics and assess the effectiveness of talent acquisition strategies. Provide insights and recommendations to senior management based on data analysis.  Compliance & Diversity: Ensure all recruitment practices comply with local laws and regulations, as well as internal policies. Drive diversity, equity, and inclusion (DEI) initiatives through targeted recruiting strategies.  Vendor & Stakeholder Management: Manage relationships with third-party recruitment agencies, job boards, and other vendors. Negotiate contracts and ensure services are delivered according to agreed-upon standards.  Continuous Improvement: Stay informed on labor market trends, emerging recruitment technologies, and best practices to keep the talent acquisition strategy at the forefront of industry developments. Qualifications & Requirements:  Education: Bachelor’s degree in Human Resources, Business Administration, or related field. Master’s degree preferred.  Experience: Minimum of 10-13 years of experience in talent acquisition, with at least 3-5 years in a leading a team.  Proven hand on experience in managing recruitment efforts across multiple regions and markets.  Strong expertise in building and executing recruitment strategies for diverse job functions, including technical, corporate, and leadership roles. Skills:  Strong leadership and people management skills with the ability to influence and collaborate effectively across functions.  Deep understanding of recruitment technologies, applicant tracking systems (ATS), and talent acquisition tools.  Experience with workforce planning, data analytics, and performance metrics to drive talent acquisition outcomes.  Excellent communication, negotiation, and interpersonal skills.  Knowledge of labor laws, employment practices, and compliance regulations.  Experience in driving diversity and inclusion initiatives within talent acquisition. Preferred:  Experience with implementing and optimizing recruitment strategies.  Experience working in multilingual environments. Key Competencies:  Leadership: Ability to lead and inspire a team, fostering a collaborative and high-performance culture.  Strategic Thinking: Ability to develop long-term strategies and execute them effectively to meet the organization’s talent needs.  Problem Solving: Strong analytical and problem-solving skills to overcome recruitment challenges and meet hiring goals.  Agility: Ability to manage multiple priorities in a fast-paced, environment.  Adaptability: Flexible and responsive to changes in market conditions and business priorities. Why Join Us? At iMerit, we are committed to building an inclusive, diverse, and innovative workforce. As the Senior Manager of Talent Acquisition and Workforce, you will have the opportunity to shape the future of our team and contribute to the company’s growth and success on an international scale. About Company: iMerit is a global leader in delivering high-quality data and AI solutions. Headquartered in Kolkata, India, with operations across multiple global locations, our mission is to create an inclusive workforce while enabling businesses to achieve excellence through data enrichment and AI capabilities. Our diverse team of over 7,000 professionals specializes in:  AI Data Solutions: Enhancing algorithms through precise data annotation and enrichment.  Generative AI : Providing innovative solutions for AI model optimization.  Geospatial and Lidar Services: Supporting industries such as autonomous vehicles, drones, and mapping technologies.  Healthcare Data Processing: Assisting medical AI solutions with accurate annotations by qualified professionals.  Multilingual Capabilities: Offering services across Indic and foreign languages, positioning us as the preferred partner for global AI enterprises. We deliver data annotation, classification, and content moderation solutions that power the AI, Machine Learning, and data operations strategies of some of the worlds leading AI organizations. Our work supports clients at every stage, from exploratory R&D to proof of concept to mission-critical, production-ready solutions. Leveraging advanced tools, machine learning algorithms, and best-in-class workflows, we enrich, annotate, and label large volumes of unstructured data to unlock hidden value. Our human-empowered computing model combines technology to optimize throughput with our managed workforces deep expertise to ensure accuracy. Our delivery centers in India, Bhutan, and the US specialize in Computer Vision, Natural Language Processing, and Content Services, supporting industries such as Autonomous Vehicles, Medical AI, Finance, Geospatial Technologies, and more. At iMerit, diversity and inclusion are at the core of our operations .In 2022, iMerit was awarded the prestigious Great Place to Work certification for the second year in a row. The certification is recognized by employees and employers around the globe as the Gold Standard for workplace excellence. This recognition reiterates the company's commitment to creating an inclusive work culture where employees can grow as technology professionals and achieve their goals. In iMerit gender equality is not a business metaphor but being put in practice in its true sense. Our Women in Tech, making up over 50% of the company, are thriving and contributing to the development of cutting-edge AI technologies in different industries. Learn more about us at iMerit Website and watch our journey on YouTube.

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact Experience in the ArcGIS desktop suite including ArcMap and ArcGIS Pro to complete a wide variety of GIS tasks including design and production of high-quality maps data management, spatial databases, editing, converting and digitizing data Knowledge and experience in a wide range of GIS projects, including creation and maintenance of associated metadata, high quality data and mapping deliverables and multicriteria spatial analysis Use and knowledge of GIS extension software such a Spatial Analyst, 3D Analyst, Network Analyst, Model Builder and ArcGIS Tools Working experience SHOULD include Figure Preparation Data Preparation Data Management Metadata Creation Spatial Analysis Survey Data Processing LiDAR Data Processing Model Builder Perform spatial data exchange tasks like data conversion from engineering design data of Autodesk and Bentley formats to GIS formats and vice versa Explore and analyse design data in native platforms of AutoCAD, Civil 3D and Revit for extracting data and information needed for developing project GIS databases Good in communication skill (verbal and written) Good Team Player Working experience in Water, Utility, Highways, Environment is preferable. May be required to work independently with Lead region offices. The position will expose the candidate to many projects across many sectors in different countries, including but not limited to the transport, energy, water and power. We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. Here's what you'll need Relevant qualification in GIS domain Working experience in GIS domain for 5-10 years Preferred Additional Skillset Work with ArcGIS Enterprise Portal and ArcGIS Online platforms Develop ArcGIS desktop tools and customizing/extending GIS web applications using ArcGIS APIs of ArcObjects, python and Javascript Work with geospatial applications and datasets of LiDAR, remote sensing, photogrammetry (Drone) and bathymetry