2,551 Computer jobs in India

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.

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.

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 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.

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.