17,583 Computer Vision Engineer jobs in India

Job Title: Sr. Computer Vision Engineer

Location: Bengaluru

Experience: 3–10 Years

Industry: AI Product

Key Responsibilities:

• Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection).
• Own major modules from concept to deployment ensuring low latency and high reliability.
• Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.
• Collaborate with cross-functional teams to refine technical strategies and roadmaps.
• Drive long-term data and model strategies (synthetic data generation, validation frameworks).
• Mentor engineers and maintain high engineering standards.

Required Skills & Qualifications:

• 3–10 years of experience in architecting and deploying CV systems.
• Expertise in multi-object tracking, object detection, semi/unsupervised learning.
• Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.
• Experience with real-time, low-latency model deployment on edge devices.
• Strong systems-level design thinking across ML lifecycles.
• Familiarity with MLOps (CI/CD for models, versioning, experiment tracking).
• Bachelor’s/Master’s degree in CS, EE, or related fields with strong ML and algorithmic foundations.
• (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.

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.

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.

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: 2–6 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.

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

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.

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 3–6 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.

Job Title : Computer Vision Engineer

Position: Fulltime / Onsite - Regular Shift

Organisation Name : IIIT H Data I Hub foundation ( IHub-Data )

Location: Inside the IIIT University, Gachibowli ,Hyderabad,Telangana

Primary Skills:Computer Vision, Machine Learning, Artificial Intelligence, Python, Deep Learning

Degree:B.Tech/B.E.

Job Description:

iHub-Data is seeking a talented and experienced Machine Learning/Deep Learning Software Engineer to join our dynamic and innovative team. The ideal candidate should have a strong background in machine learning and deep learning, with hands-on experience in developing and implementing cutting-edge algorithms and models. As a Machine Learning/Deep Learning Software Engineer, you will play a crucial role in designing, developing, and optimizing our machine learning solutions to solve complex problems and drive innovation in our products. We are looking for a passionate engineer, who will help build, demonstrate on scale - practical applications in using images and video.

Key Responsibilities:

In this position, the person will be required to at least, but not limited to:

1. Scale up proof-of-concept (POC) applications using state-of-the-art implementations in machine learning and deep learning.
2. Evaluate and implement existing or create new or modifications ML/DL methods. Experience in building software prototypes of image processing, computer vision and machine learning applications is a must. Hands-on, experimental work in machine learning is an added advantage.

Required skills:

1. Bachelors or higher degree, in ECE, CS, or EEE disciplines with a strong programming knowledge.
2. Deep expertise in programming with Python, C/C++.
3. Good exposure to Py Torch/TensorFlow, OpenCV ,NumPy and related toolkits.
4. Some experience in image processing, machine learning.
5. Comfort with collaboration, open communication and reaching across functional borders.
6. Experience working in a research or academic environment.
7. Ability to clearly articulate design and implementation choices.
8. Ability to use a wide variety of open-source technologies and tools.
9. Comfort with frequent, incremental code testing and deployment.
10. Comfort with collaboration, open communication and reaching across functional borders.
11. Experience working in a research or academic environment.

• Strong Python, NumPy, OpenCV; solid PyTorch and data handling.
• Deep models: detection/segmentation/pose (YOLO/DETR/U-Net/ViT), training, and metrics (mAP, IoU).
• Performance & deploy: ONNX/TensorRT, quantization/distillation, Jetson/CUDA, GStreamer/FFmpeg.
• Prod skills: FastAPI, Docker/CI-CD, experiment tracking, logging/monitoring, clear documentation & teamwork.

Pls, Share your updated CV to

Proficiency in basis of CVML (Computer Vision Machine Learning), Python and GUI Building, Exposure to LLM, Mechanical Engineering basics.