477 Computer Vision jobs in Noida
Computer Vision Engineer
Noida, Uttar Pradesh
Omnipresent Robot Tech
Posted 3 days ago
Job Viewed
Job Description
Position Title: Computer Vision Engineer – Drone-Based Solutions
About Us:
Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 missionby developing the perception and navigation module for the Pragyaan rover. Currently, we are developing innovative satellite and drone-based solutions for defence and commercial applications. Join our dynamic team and grow your career!
Role Overview:
The Computer Vision Engineer will develop, test, and deploy visual navigation systems for drones operating in challenging environments. The role involves designing robust perception algorithms, fusing multi-sensor data, and optimizing vision-based solutions for real-time, onboard execution.
Key Responsibilities
- Develop and implement computer vision algorithms for real-time drone localization, mapping, and navigation in challenging situations.
- Work on visual odometry, optical flow, and SLAM (Simultaneous Localization and Mapping) for reliable autonomous flight.
- Integrate and fuse vision data with IMU, LiDAR, and other onboard sensors for accurate pose estimation.
- Optimize perception algorithms for deployment on embedded, resource-constrained platforms.
- Collaborate with the autonomy and flight controls teams to ensure system-level integration and robust field performance.
- Evaluate, select, and calibrate camera and sensor configurations for challenging environments.
- Conduct simulation-based and real-world testing to validate performance in diverse scenarios.
- Stay updated on advancements in computer vision and bring relevant innovations into project solutions.
- Maintain clear technical documentation, test plans, and reports.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field.
- Strong experience with computer vision algorithms (OpenCV, visual odometry, optical flow, SLAM, object detection).
- Proficient programming skills in Python and C++; experience with embedded or GPU-accelerated vision (CUDA, TensorRT, ONNX) is a plus.
- Practical experience in drone, UAV, or robotic vision systems.
- Understanding of sensor fusion for multi-modal data integration.
- Excellent analytical, problem-solving, and communication skills.
Desired Skills
- Background in deep learning applied to perception tasks.
- Familiarity with robotics middleware (e.g., ROS), simulation environments, and hardware-in-the-loop testing.
- Knowledge of edge-AI deployment models, code optimisation, and real-time architecture.
- Experience in collaborative, multidisciplinary engineering environments.
- Proven track record of writing and maintaining well-documented code and technical documentation.
This advertiser has chosen not to accept applicants from your region.
0
Computer Vision Engineer
Delhi, Delhi
Eternal Robotics
Posted 5 days ago
Job Viewed
Job Description
About Eternal Robotics – Hypervise
Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical.
Role Overview
We are looking for a AI Engineer - Computer Vision with 2–5 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments.
You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance.
Key Responsibilities
1. Model Development & Testing
- Build and optimize deep learning models for object detection, segmentation, and classification.
- Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models.
- Validate model accuracy against customer specifications and datasets.
2. CV Pipeline Implementation
- Develop modular and maintainable computer vision pipelines using Python.
- Integrate pre-processing, inference, and post-processing components for edge and server-side deployments.
3. Hardware & Deployment Support
- Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
- Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting.
4. Testing & Quality Assurance
- Write and execute test cases to ensure system functionality and robustness in diverse environments.
- Collaborate with QA and support teams to resolve performance issues.
5. Documentation & Collaboration
- Document architecture, model performance, and system configurations.
- Participate in code reviews and peer programming sessions.
- Coordinate with team leads and project managers to align with delivery timelines.
Qualifications & Experience
- Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus.
- Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.
Key Technical Skills
- Proficiency in Python and OpenCV.
- Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
- Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
- Working knowledge of Linux environments, Git, and basic shell scripting.
- Experience with Jetson Nano/Xavier, DeepStream SDK is preferred.
- Understanding of camera configuration, lighting setups, and imaging constraints.
- Experience deploying models on edge or embedded devices is a strong advantage.
Soft Skills
- Strong debugging and problem-solving skills.
- Team player with a willingness to learn and adapt.
- Effective communicator capable of interfacing with both engineering and customer teams.
- Disciplined in documentation and reporting.
Why Join Hypervise?
- Build solutions that are deployed across real industrial environments.
- Work alongside passionate technologists in a startup culture.
- Access to advanced tools, data, and edge-AI hardware.
- Be part of a company leading the industrial AI revolution.
This advertiser has chosen not to accept applicants from your region.
1
Computer Vision Engineer
Delhi, Delhi
Recro
Posted today
Job Viewed
Job Description
AI Engineer - Manufacturing Analysis Platform
Company Overview
We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.
Role Overview
We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection molded plastic parts
- Develop computer vision algorithms for automated feature detection in 3D CAD models
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
- Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
- Design data pipelines for continuous model training and improvement
Platform Architecture
- Architect browser-based AI systems that can process large 3D models efficiently
- Integrate STEP/STL file processing with AI analysis workflows
- Develop WebAssembly modules for high-performance geometry computation
- Build scalable model serving infrastructure supporting real-time analysis
- Implement feedback loops to continuously improve model accuracy
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
- Build moldflow simulation capabilities using AI-accelerated CFD techniques
- Create cost optimization engines that recommend design changes for manufacturability
- Implement quality prediction models for common injection molding defects
- Design automated report generation with actionable manufacturing insights
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis
- Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
- Collaborate with manufacturing experts to validate and improve AI recommendations
- Publish research and represent the company at industry conferences
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments
- Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
- Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
- Computer vision and geometric deep learning experience
- Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
- Experience with fine tuning ML models
Software Engineering
- WebAssembly development for high-performance browser applications
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment
- Database design for handling large geometric datasets
- Version control and CI/CD best practices
Mathematical Foundation
- Strong linear algebra and calculus background
- Statistics and probability for uncertainty quantification
- Computational geometry and mesh processing algorithms
- Optimization techniques for design parameter tuning
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background in injection molding or similar processes
- CAD software experience (SolidWorks, Fusion 360, etc.)
- Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
- Materials science knowledge for plastic properties and behavior
Advanced Technical Skills
- Graph neural networks for representing CAD geometry
- Reinforcement learning for design optimization
- Physics-informed neural networks for manufacturing simulation
- Edge computing and model compression techniques
- Real-time rendering with WebGL/Three.js
Education & Experience
- Bachelors or Masters in Computer Science, Engineering, or related field
- 2+ years in manufacturing technology or CAD software companies
- Experience at high-growth startups building technical products from scratch for production
- Open source contributions in AI/ML or manufacturing tools
Company Overview
We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.
Role Overview
We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection molded plastic parts
- Develop computer vision algorithms for automated feature detection in 3D CAD models
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
- Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
- Design data pipelines for continuous model training and improvement
Platform Architecture
- Architect browser-based AI systems that can process large 3D models efficiently
- Integrate STEP/STL file processing with AI analysis workflows
- Develop WebAssembly modules for high-performance geometry computation
- Build scalable model serving infrastructure supporting real-time analysis
- Implement feedback loops to continuously improve model accuracy
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
- Build moldflow simulation capabilities using AI-accelerated CFD techniques
- Create cost optimization engines that recommend design changes for manufacturability
- Implement quality prediction models for common injection molding defects
- Design automated report generation with actionable manufacturing insights
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis
- Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
- Collaborate with manufacturing experts to validate and improve AI recommendations
- Publish research and represent the company at industry conferences
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments
- Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
- Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
- Computer vision and geometric deep learning experience
- Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
- Experience with fine tuning ML models
Software Engineering
- WebAssembly development for high-performance browser applications
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment
- Database design for handling large geometric datasets
- Version control and CI/CD best practices
Mathematical Foundation
- Strong linear algebra and calculus background
- Statistics and probability for uncertainty quantification
- Computational geometry and mesh processing algorithms
- Optimization techniques for design parameter tuning
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background in injection molding or similar processes
- CAD software experience (SolidWorks, Fusion 360, etc.)
- Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
- Materials science knowledge for plastic properties and behavior
Advanced Technical Skills
- Graph neural networks for representing CAD geometry
- Reinforcement learning for design optimization
- Physics-informed neural networks for manufacturing simulation
- Edge computing and model compression techniques
- Real-time rendering with WebGL/Three.js
Education & Experience
- Bachelors or Masters in Computer Science, Engineering, or related field
- 2+ years in manufacturing technology or CAD software companies
- Experience at high-growth startups building technical products from scratch for production
- Open source contributions in AI/ML or manufacturing tools
This advertiser has chosen not to accept applicants from your region.
2
Computer Vision Engineer
Delhi, Delhi
Recro
Posted today
Job Viewed
Job Description
AI Engineer - Manufacturing Analysis Platform
Role Overview
We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection molded plastic parts
- Develop computer vision algorithms for automated feature detection in 3D CAD models
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
- Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
- Design data pipelines for continuous model training and improvement
Platform Architecture
- Architect browser-based AI systems that can process large 3D models efficiently
- Integrate STEP/STL file processing with AI analysis workflows
- Develop WebAssembly modules for high-performance geometry computation
- Build scalable model serving infrastructure supporting real-time analysis
- Implement feedback loops to continuously improve model accuracy
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
- Build moldflow simulation capabilities using AI-accelerated CFD techniques
- Create cost optimization engines that recommend design changes for manufacturability
- Implement quality prediction models for common injection molding defects
- Design automated report generation with actionable manufacturing insights
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis
- Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
- Collaborate with manufacturing experts to validate and improve AI recommendations
- Publish research and represent the company at industry conferences
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments
- Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
- Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
- Computer vision and geometric deep learning experience
- Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
- Experience with fine tuning ML models
Software Engineering
- WebAssembly development for high-performance browser applications
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment
- Database design for handling large geometric datasets
- Version control and CI/CD best practices
Mathematical Foundation
- Strong linear algebra and calculus background
- Statistics and probability for uncertainty quantification
- Computational geometry and mesh processing algorithms
- Optimization techniques for design parameter tuning
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background in injection molding or similar processes
- CAD software experience (SolidWorks, Fusion 360, etc.)
- Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
- Materials science knowledge for plastic properties and behavior
Advanced Technical Skills
- Graph neural networks for representing CAD geometry
- Reinforcement learning for design optimization
- Physics-informed neural networks for manufacturing simulation
- Edge computing and model compression techniques
- Real-time rendering with WebGL/Three.js
Education & Experience
- Bachelors or Masters in Computer Science, Engineering, or related field
- 2+ years in manufacturing technology or CAD software companies
- Experience at high-growth startups building technical products from scratch for production
- Open source contributions in AI/ML or manufacturing tools
Role Overview
We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection molded plastic parts
- Develop computer vision algorithms for automated feature detection in 3D CAD models
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
- Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
- Design data pipelines for continuous model training and improvement
Platform Architecture
- Architect browser-based AI systems that can process large 3D models efficiently
- Integrate STEP/STL file processing with AI analysis workflows
- Develop WebAssembly modules for high-performance geometry computation
- Build scalable model serving infrastructure supporting real-time analysis
- Implement feedback loops to continuously improve model accuracy
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
- Build moldflow simulation capabilities using AI-accelerated CFD techniques
- Create cost optimization engines that recommend design changes for manufacturability
- Implement quality prediction models for common injection molding defects
- Design automated report generation with actionable manufacturing insights
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis
- Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
- Collaborate with manufacturing experts to validate and improve AI recommendations
- Publish research and represent the company at industry conferences
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments
- Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
- Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
- Computer vision and geometric deep learning experience
- Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
- Experience with fine tuning ML models
Software Engineering
- WebAssembly development for high-performance browser applications
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment
- Database design for handling large geometric datasets
- Version control and CI/CD best practices
Mathematical Foundation
- Strong linear algebra and calculus background
- Statistics and probability for uncertainty quantification
- Computational geometry and mesh processing algorithms
- Optimization techniques for design parameter tuning
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background in injection molding or similar processes
- CAD software experience (SolidWorks, Fusion 360, etc.)
- Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
- Materials science knowledge for plastic properties and behavior
Advanced Technical Skills
- Graph neural networks for representing CAD geometry
- Reinforcement learning for design optimization
- Physics-informed neural networks for manufacturing simulation
- Edge computing and model compression techniques
- Real-time rendering with WebGL/Three.js
Education & Experience
- Bachelors or Masters in Computer Science, Engineering, or related field
- 2+ years in manufacturing technology or CAD software companies
- Experience at high-growth startups building technical products from scratch for production
- Open source contributions in AI/ML or manufacturing tools
This advertiser has chosen not to accept applicants from your region.
3
Computer Vision Engineer
Delhi, Delhi
Green HR Solutions
Posted today
Job Viewed
Job Description
Hiring For USA based Multinational Company
We are looking for a skilled and innovative Computer Vision Engineer to join our team. You will be responsible for designing, developing, and deploying computer vision models and algorithms that enable machines to interpret and understand visual information. Your work will help solve real-world problems in areas such as object detection, image classification, tracking, 3D reconstruction, facial recognition, and more.
- Design and implement computer vision algorithms for tasks such as object detection, segmentation, image recognition, tracking, OCR, etc.
- Optimize and scale models for performance and real-time processing.
- Collect and annotate datasets as needed for training computer vision models.
- Train and fine-tune models using deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
- Evaluate model performance using appropriate metrics and improve models through experimentation.
- Integrate vision models into production systems (cloud-based, edge devices, or mobile platforms).
- Collaborate with software, hardware, and data engineering teams to deploy scalable solutions.
- Optimize inference performance for deployment on limited-resource environments (e.g., mobile, embedded systems).
- Stay up to date with the latest advancements in computer vision and deep learning.
- Research and experiment with state-of-the-art methods (e.g., transformer-based models, self-supervised learning, multi-modal systems).
- Contribute to innovation and IP creation, including white papers and patents.
- Work cross-functionally with product managers, engineers, and data scientists to translate business requirements into technical solutions.
- Present findings, prototypes, and performance reports to both technical and non-technical stakeholders.
We are looking for a skilled and innovative Computer Vision Engineer to join our team. You will be responsible for designing, developing, and deploying computer vision models and algorithms that enable machines to interpret and understand visual information. Your work will help solve real-world problems in areas such as object detection, image classification, tracking, 3D reconstruction, facial recognition, and more.
- Design and implement computer vision algorithms for tasks such as object detection, segmentation, image recognition, tracking, OCR, etc.
- Optimize and scale models for performance and real-time processing.
- Collect and annotate datasets as needed for training computer vision models.
- Train and fine-tune models using deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
- Evaluate model performance using appropriate metrics and improve models through experimentation.
- Integrate vision models into production systems (cloud-based, edge devices, or mobile platforms).
- Collaborate with software, hardware, and data engineering teams to deploy scalable solutions.
- Optimize inference performance for deployment on limited-resource environments (e.g., mobile, embedded systems).
- Stay up to date with the latest advancements in computer vision and deep learning.
- Research and experiment with state-of-the-art methods (e.g., transformer-based models, self-supervised learning, multi-modal systems).
- Contribute to innovation and IP creation, including white papers and patents.
- Work cross-functionally with product managers, engineers, and data scientists to translate business requirements into technical solutions.
- Present findings, prototypes, and performance reports to both technical and non-technical stakeholders.
This advertiser has chosen not to accept applicants from your region.
4
Computer Vision Engineer
Delhi, Delhi
Eternal Robotics
Posted today
Job Viewed
Job Description
About Eternal Robotics – Hypervise
Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical.
Role Overview
We are looking for a AI Engineer - Computer Vision with 2–5 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments.
You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance.
Key Responsibilities
1. Model Development & Testing
- Build and optimize deep learning models for object detection, segmentation, and classification.
- Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models.
- Validate model accuracy against customer specifications and datasets.
2. CV Pipeline Implementation
- Develop modular and maintainable computer vision pipelines using Python.
- Integrate pre-processing, inference, and post-processing components for edge and server-side deployments.
3. Hardware & Deployment Support
- Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
- Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting.
4. Testing & Quality Assurance
- Write and execute test cases to ensure system functionality and robustness in diverse environments.
- Collaborate with QA and support teams to resolve performance issues.
5. Documentation & Collaboration
- Document architecture, model performance, and system configurations.
- Participate in code reviews and peer programming sessions.
- Coordinate with team leads and project managers to align with delivery timelines.
Qualifications & Experience
- Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus.
- Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.
Key Technical Skills
- Proficiency in Python and OpenCV.
- Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
- Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
- Working knowledge of Linux environments, Git, and basic shell scripting.
- Experience with Jetson Nano/Xavier, DeepStream SDK is preferred.
- Understanding of camera configuration, lighting setups, and imaging constraints.
- Experience deploying models on edge or embedded devices is a strong advantage.
Soft Skills
- Strong debugging and problem-solving skills.
- Team player with a willingness to learn and adapt.
- Effective communicator capable of interfacing with both engineering and customer teams.
- Disciplined in documentation and reporting.
Why Join Hypervise?
- Build solutions that are deployed across real industrial environments.
- Work alongside passionate technologists in a startup culture.
- Access to advanced tools, data, and edge-AI hardware.
- Be part of a company leading the industrial AI revolution.
Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical.
Role Overview
We are looking for a AI Engineer - Computer Vision with 2–5 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments.
You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance.
Key Responsibilities
1. Model Development & Testing
- Build and optimize deep learning models for object detection, segmentation, and classification.
- Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models.
- Validate model accuracy against customer specifications and datasets.
2. CV Pipeline Implementation
- Develop modular and maintainable computer vision pipelines using Python.
- Integrate pre-processing, inference, and post-processing components for edge and server-side deployments.
3. Hardware & Deployment Support
- Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment.
- Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting.
4. Testing & Quality Assurance
- Write and execute test cases to ensure system functionality and robustness in diverse environments.
- Collaborate with QA and support teams to resolve performance issues.
5. Documentation & Collaboration
- Document architecture, model performance, and system configurations.
- Participate in code reviews and peer programming sessions.
- Coordinate with team leads and project managers to align with delivery timelines.
Qualifications & Experience
- Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus.
- Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments.
Key Technical Skills
- Proficiency in Python and OpenCV.
- Experience with deep learning libraries: PyTorch, TensorFlow, Keras.
- Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation.
- Working knowledge of Linux environments, Git, and basic shell scripting.
- Experience with Jetson Nano/Xavier, DeepStream SDK is preferred.
- Understanding of camera configuration, lighting setups, and imaging constraints.
- Experience deploying models on edge or embedded devices is a strong advantage.
Soft Skills
- Strong debugging and problem-solving skills.
- Team player with a willingness to learn and adapt.
- Effective communicator capable of interfacing with both engineering and customer teams.
- Disciplined in documentation and reporting.
Why Join Hypervise?
- Build solutions that are deployed across real industrial environments.
- Work alongside passionate technologists in a startup culture.
- Access to advanced tools, data, and edge-AI hardware.
- Be part of a company leading the industrial AI revolution.
This advertiser has chosen not to accept applicants from your region.
5
Computer Vision Engineer
Delhi, Delhi
Green HR Solutions
Posted today
Job Viewed
Job Description
Hiring for a USA based multinational Software Company
We are seeking a talented Computer Vision Engineer to join our team and develop innovative solutions using cutting-edge AI and image processing technologies. The ideal candidate will have strong experience in computer vision, machine learning, and deep learning frameworks to build real-world applications such as object detection, facial recognition, image segmentation, and visual analytics.
- Design, develop, and implement computer vision algorithms for image and video analysis.
- Work with datasets to train, test, and validate deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.
- Build and optimize object detection, tracking, and recognition systems.
- Collaborate with cross-functional teams including data scientists, ML engineers, and software developers.
- Perform model evaluation, optimization, and deployment on cloud or edge devices.
- Research and stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
- Write efficient, maintainable, and well-documented code.
- Proven experience with Computer Vision and Deep Learning frameworks (TensorFlow, Keras, PyTorch).
- Strong knowledge of Python, OpenCV, and image/video processing techniques.
- Experience with CNNs, object detection (YOLO, Faster R-CNN, SSD), segmentation (U-Net, Mask R-CNN).
- Familiarity with NVIDIA CUDA, GPU acceleration, and model optimization tools.
- Understanding of data preprocessing, annotation, and augmentation methods.
- Excellent analytical, problem-solving, and debugging skills.
- Experience with real-time computer vision systems or edge AI (Jetson Nano, Raspberry Pi).
- Knowledge of 3D vision, SLAM, or AR/VR technologies.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps workflows.
- Contributions to open-source computer vision projects are a plus.
We are seeking a talented Computer Vision Engineer to join our team and develop innovative solutions using cutting-edge AI and image processing technologies. The ideal candidate will have strong experience in computer vision, machine learning, and deep learning frameworks to build real-world applications such as object detection, facial recognition, image segmentation, and visual analytics.
- Design, develop, and implement computer vision algorithms for image and video analysis.
- Work with datasets to train, test, and validate deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.
- Build and optimize object detection, tracking, and recognition systems.
- Collaborate with cross-functional teams including data scientists, ML engineers, and software developers.
- Perform model evaluation, optimization, and deployment on cloud or edge devices.
- Research and stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
- Write efficient, maintainable, and well-documented code.
- Proven experience with Computer Vision and Deep Learning frameworks (TensorFlow, Keras, PyTorch).
- Strong knowledge of Python, OpenCV, and image/video processing techniques.
- Experience with CNNs, object detection (YOLO, Faster R-CNN, SSD), segmentation (U-Net, Mask R-CNN).
- Familiarity with NVIDIA CUDA, GPU acceleration, and model optimization tools.
- Understanding of data preprocessing, annotation, and augmentation methods.
- Excellent analytical, problem-solving, and debugging skills.
- Experience with real-time computer vision systems or edge AI (Jetson Nano, Raspberry Pi).
- Knowledge of 3D vision, SLAM, or AR/VR technologies.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps workflows.
- Contributions to open-source computer vision projects are a plus.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Computer vision Jobs in Noida !
6
Computer Vision Engineer
Noida, Uttar Pradesh
Omnipresent Robot Tech
Posted today
Job Viewed
Job Description
Position Title: Computer Vision Engineer – Drone-Based Solutions
About Us:
Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 missionby developing the perception and navigation module for the Pragyaan rover. Currently, we are developing innovative satellite and drone-based solutions for defence and commercial applications. Join our dynamic team and grow your career!
Role Overview:
The Computer Vision Engineer will develop, test, and deploy visual navigation systems for drones operating in challenging environments. The role involves designing robust perception algorithms, fusing multi-sensor data, and optimizing vision-based solutions for real-time, onboard execution.
Key Responsibilities
Develop and implement computer vision algorithms for real-time drone localization, mapping, and navigation in challenging situations.
Work on visual odometry, optical flow, and SLAM (Simultaneous Localization and Mapping) for reliable autonomous flight.
Integrate and fuse vision data with IMU, LiDAR, and other onboard sensors for accurate pose estimation.
Optimize perception algorithms for deployment on embedded, resource-constrained platforms.
Collaborate with the autonomy and flight controls teams to ensure system-level integration and robust field performance.
Evaluate, select, and calibrate camera and sensor configurations for challenging environments.
Conduct simulation-based and real-world testing to validate performance in diverse scenarios.
Stay updated on advancements in computer vision and bring relevant innovations into project solutions.
Maintain clear technical documentation, test plans, and reports.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field.
Strong experience with computer vision algorithms (OpenCV, visual odometry, optical flow, SLAM, object detection).
Proficient programming skills in Python and C++; experience with embedded or GPU-accelerated vision (CUDA, TensorRT, ONNX) is a plus.
Practical experience in drone, UAV, or robotic vision systems.
Understanding of sensor fusion for multi-modal data integration.
Excellent analytical, problem-solving, and communication skills.
Desired Skills
Background in deep learning applied to perception tasks.
Familiarity with robotics middleware (e.g., ROS), simulation environments, and hardware-in-the-loop testing.
Knowledge of edge-AI deployment models, code optimisation, and real-time architecture.
Experience in collaborative, multidisciplinary engineering environments.
Proven track record of writing and maintaining well-documented code and technical documentation.
About Us:
Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 missionby developing the perception and navigation module for the Pragyaan rover. Currently, we are developing innovative satellite and drone-based solutions for defence and commercial applications. Join our dynamic team and grow your career!
Role Overview:
The Computer Vision Engineer will develop, test, and deploy visual navigation systems for drones operating in challenging environments. The role involves designing robust perception algorithms, fusing multi-sensor data, and optimizing vision-based solutions for real-time, onboard execution.
Key Responsibilities
Develop and implement computer vision algorithms for real-time drone localization, mapping, and navigation in challenging situations.
Work on visual odometry, optical flow, and SLAM (Simultaneous Localization and Mapping) for reliable autonomous flight.
Integrate and fuse vision data with IMU, LiDAR, and other onboard sensors for accurate pose estimation.
Optimize perception algorithms for deployment on embedded, resource-constrained platforms.
Collaborate with the autonomy and flight controls teams to ensure system-level integration and robust field performance.
Evaluate, select, and calibrate camera and sensor configurations for challenging environments.
Conduct simulation-based and real-world testing to validate performance in diverse scenarios.
Stay updated on advancements in computer vision and bring relevant innovations into project solutions.
Maintain clear technical documentation, test plans, and reports.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field.
Strong experience with computer vision algorithms (OpenCV, visual odometry, optical flow, SLAM, object detection).
Proficient programming skills in Python and C++; experience with embedded or GPU-accelerated vision (CUDA, TensorRT, ONNX) is a plus.
Practical experience in drone, UAV, or robotic vision systems.
Understanding of sensor fusion for multi-modal data integration.
Excellent analytical, problem-solving, and communication skills.
Desired Skills
Background in deep learning applied to perception tasks.
Familiarity with robotics middleware (e.g., ROS), simulation environments, and hardware-in-the-loop testing.
Knowledge of edge-AI deployment models, code optimisation, and real-time architecture.
Experience in collaborative, multidisciplinary engineering environments.
Proven track record of writing and maintaining well-documented code and technical documentation.
This advertiser has chosen not to accept applicants from your region.
7
Computer Vision Engineer
Ghaziabad, Uttar Pradesh
Green HR Solutions
Posted today
Job Viewed
Job Description
Hiring for a USA based multinational Software Company
We are seeking a talented Computer Vision Engineer to join our team and develop innovative solutions using cutting-edge AI and image processing technologies. The ideal candidate will have strong experience in computer vision, machine learning, and deep learning frameworks to build real-world applications such as object detection, facial recognition, image segmentation, and visual analytics.
- Design, develop, and implement computer vision algorithms for image and video analysis.
- Work with datasets to train, test, and validate deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV.
- Build and optimize object detection, tracking, and recognition systems.
- Collaborate with cross-functional teams including data scientists, ML engineers, and software developers.
- Perform model evaluation, optimization, and deployment on cloud or edge devices.
- Research and stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
- Write efficient, maintainable, and well-documented code.
- Proven experience with Computer Vision and Deep Learning frameworks (TensorFlow, Keras, PyTorch).
- Strong knowledge of Python, OpenCV, and image/video processing techniques.
- Experience with CNNs, object detection (YOLO, Faster R-CNN, SSD), segmentation (U-Net, Mask R-CNN).
- Familiarity with NVIDIA CUDA, GPU acceleration, and model optimization tools.
- Understanding of data preprocessing, annotation, and augmentation methods.
- Excellent analytical, problem-solving, and debugging skills.
- Experience with real-time computer vision systems or edge AI (Jetson Nano, Raspberry Pi).
- Knowledge of 3D vision, SLAM, or AR/VR technologies.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps workflows.
- Contributions to open-source computer vision projects are a plus.
This advertiser has chosen not to accept applicants from your region.
8