12,771 Computer Vision jobs in India
Artificial Intelligence Engineer- Computer Vision
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Company Description
Founded in December 2018,
Intelense
develops cutting-edge AI software that transforms unstructured heterogeneous data into actionable insights. Beginning with real-time
computer vision and video analytics
in public spaces, we have since expanded to deliver marketing intelligence and operational decision-making across industries worldwide. Our AI-driven platforms leverage advanced
deep learning, YOLO-based object detection, and machine learning pipelines
to identify emerging trends, consumer patterns, and operational inefficiencies, all while integrating seamlessly into existing infrastructures. At the core of our innovation is
KenAI
, which powers our suite of products—
KenVision, KenRobotics, and KenIoT
—using state-of-the-art AI algorithms for anomaly detection, predictive maintenance, and intelligent automation.
Role Description
This is a full-time on-site role for an
Artificial Intelligence Engineer
located in the Greater Bengaluru Area. The engineer will be responsible for
designing, training, and deploying computer vision models
, with a strong focus on
YOLO architectures, TensorFlow, and Python-based pipelines
. Day-to-day tasks include building AI models for
pattern recognition, object detection, and video stream analytics
, integrating with
IoT sensors, robotics systems, and camera infrastructure
. The role also involves optimizing models for deployment in
real-time environments
, ensuring scalability, accuracy, and robustness. Collaboration with cross-functional teams will be key to delivering high-quality, production-ready AI solutions.
Qualifications
- Strong expertise in
Computer Vision, Object Detection (YOLO, TensorFlow, OpenCV, etc.) - Proficiency in
Python
and deployment of AI models using frameworks such as
TensorFlow, PyTorch, or ONNX - Solid understanding of
Neural Networks, Pattern Recognition, and Deep Learning architectures - Experience with
real-time video analytics, streaming data, and edge deployment - Familiarity with
IoT sensors, robotics integration, and camera-based systems - Strong problem-solving and analytical abilities with production-focused mindset
- Excellent communication, collaboration, and teamwork skills
- Bachelor's or Master's degree in
Computer Science, Artificial Intelligence, Computer Vision, or a related field with 3+ Years of experience
Computer vision
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- Solid knowledge in C++, Python, Computer vision, Deep learning, and Edge devices deployment skills (Open vino, Jetson, snap dragon etc).
- Implement efficient and optimized algorithms in C++.
- Very good knowledge on Algorithms and Data structures.
- Familiar with Git & Linux CLI
- Good documentation skill
Roles and Responsibilities
- Ability to read and Understand Deep learning research papers, train & validate the models.
- Implement AI algorithms in C++. Deploy the code on cloud or edge devices.
- Porting AI models/Algorithms to Edge devices(Nvidia Jetson) and Android mobile.
- Ability to write production level code in C++.
- Prepare technical documentation.
- Write effective and reusable code.
- Testing and benchmarking of AI models.
- Self-motivated and willing to learn new skills and technologies as needed.
Computer Vision
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Key Highlights of the Role:
- Experience: 58 Years
- Location: Hyderabad or Remote
- Core Skills: Computer Vision, Deep Learning, Python, PyTorch, API Development (FastAPI/Flask), Model Deployment
- Exposure to dashboards (frontend/backend) is an added advantage
Computer Vision
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Python 3.8+ -- Mandatory
OpenCV -- Mandatory
Deep Learning models - Mandatory
Objects detection: Yolo v5 like models building
Multi-person pose estimation
Objects tracking
Speed estimation
Camera object position estimation--- Mandatory (IP Camera) or (ONVIF) or (RTSP)
2D/3D mapping of objects and moving objects
Multi-camera fusion -- Mandatory
Edge computation camera-specific development
camera types (standard, Infrared, FRID)
camera build extra sensors integration
code
and model optimization to work in reduced resources in real-time (GPU, TPU)
edge development/deployment - Mandatory
integration with camera sensors, building algorithms embedded in the camera
General development
Git
Docker - Mandatory
Static code analysis, code optimization
Performance optimization
JOB TYPE
Work Day:Full Time
Employment type:Permanent Job
Salary:Negotiable
JOB REQUIREMENTS
Minimal experience:Unspecified
Sony - Computer Vision & Deep Learning Engineer - Artificial Intelligence
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Description
We are looking for a skilled and motivated Software Engineer with a strong foundation in C++, Python, Computer Vision, and Deep Learning, along with proven experience in Edge AI deployment using platforms such as OpenVINO, NVIDIA Jetson, and Qualcomm Snapdragon. This role is ideal for individuals passionate about implementing cutting-edge AI solutions, optimizing models for real-world performance, and deploying them on embedded or edge devices.
You will be responsible for designing and developing efficient and scalable AI algorithms, implementing them in C++, and deploying them across various platforms including cloud, edge devices, and Android. The ideal candidate should be self-driven, capable of working independently, and eager to stay updated with the latest trends in AI and deep learning research.
Key Responsibilities
- Read, interpret, and apply Deep Learning research papers to real-world problems.
- Design, implement, and optimize AI algorithms primarily in C++ with support in Python.
- Train, validate, and evaluate deep learning models for computer vision applications.
- Port and optimize AI models for deployment on Edge devices like NVIDIA Jetson, Intel OpenVINO, and Snapdragon-based platforms.
- Develop production-quality software with clean, reusable, and efficient code.
- Deploy AI solutions to edge devices and cloud infrastructure.
- Perform benchmarking and testing of AI models to ensure accuracy, speed, and robustness.
- Collaborate with cross-functional teams to integrate software components.
- Maintain code versioning and workflow using Git.
- Write high-quality technical documentation for models, APIs, and deployment processes.
- Work in a Linux CLI environment for development and deployment tasks.
- Demonstrate initiative in learning and adapting to new technologies as project needs evolve.
Skills Required
- Programming Languages: Strong proficiency in C++ and Python.
- Core Concepts: Solid understanding of Algorithms and Data Structures.
- Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar.
- Computer Vision: Experience in building and deploying vision-based AI models.
- Edge Deployment: Practical experience with OpenVINO, Jetson (JetPack, TensorRT), or Snapdragon Neural Processing SDK.
- Development Tools: Familiarity with Git, Linux CLI, and CMake.
- Optimization: Knowledge of performance profiling, code optimization, and model quantization/pruning.
- Documentation: Ability to prepare clear, structured technical documentation and reports.
Candidate Profile
- 35 years of experience in AI/ML/Computer Vision-based product development.
- Strong analytical and problem-solving skills.
- Ability to work independently with minimal supervision.
- Excellent communication and team collaboration abilities.
- Passionate about AI, embedded systems, and real-time applications.
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Computer Vision Intern
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Job title:
Computer Vision and AI Intern
Location:
Pune
Type of Internship:
Full time In-Office
Duration:
6 Months
Position Overview:
We are only looking for candidates who have demonstrable skills and knowledge in Image processing and Computer Vision, with strong software development skills OpenCV with Python. During this internship, you'll work closely with Seniors and other members of the team on various development and optimisation tasks relating to object detection, tracking and recognition, etc.
You'll have the opportunity to actively participate in designing and creating stable and scalable high-quality applications. In addition, you'll be expected to actively work on development activities daily, be it testing, fixing bugs, or other coding-related issues.
Key Responsibilities:
- Work on the computer vision-based algorithm developments
- Work on AI-driven algorithm developments for industrial use cases
- Documenting and testing new Algorithm applications Researching, investigating and fixing a wide range of technical issues.
- Collaborating with senior leaders, Approaching problems and creating solutions for Industrial Applications.
- Proactively learning about new technologies
Qualifications:
- Knowledge and relevant programming experience with Python, PyTorch, Tensorflow, etc and other ML and DL libraries, mainly in Computer Vision tasks.
- Knowledge of applying state-of-the-art deep neural networks-based models to various Image and Video Processing and Computer Vision applications.
- Understanding of overall system Architecture, Camera & other hardware selection basics is good to have
- excellent interpersonal, communication, and document preparation skills.
- Demonstrate research capabilities through relevant publication records in leading Image and Video Processing and Computer Vision journals and conferences.
- Self-motivated and results-oriented Ability to interact with cross-functional teams.
- Strong problem-solving abilities.
- Ability to work in a fast-paced environment.
Elansol Technologies is committed to providing a supportive and inclusive learning experience for our interns. We welcome diversity and encourage candidates from all backgrounds to apply.
Computer Vision Developer
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Company Description
ReoR Consulting is a technology startup in Bengaluru, focusing on retail solutions. . A leading innovator in AI-driven automation solutions, focused on streamlining business processes through cutting-edge integrations and self-hosted platforms.
Location:
Onsite - Bangalore
Job Type:
Contract for 3-5 months
The Computer Vision Developer will be responsible for developing and implementing computer vision algorithms, working on pattern recognition and robotics projects, and collaborating with data scientists and computer scientists to design and deploy AI-powered solutions. The developer will also conduct research to advance the company's technical capabilities and contribute to the integration of AI into existing IT infrastructures.
Qualifications
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
Strong problem-solving and analytical thinking skills
Strong proficiency in Python and C++ programming languages
Extensive experience with computer vision libraries (OpenCV, PIL, scikit-image)
Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
Solid understanding of image processing techniques and algorithms
Experience with neural network architectures (CNNs, RNNs, Vision Transformers)
Knowledge of classical computer vision algorithms (object detection, image segmentation, feature extraction)
Familiarity with GPU programming (CUDA) for performance optimization
Experience with data preprocessing, augmentation, and model training pipelines
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Computer Vision Engineer
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Bigthinx, an award winning fashion tech company that's revolutionizing how people shop, create, and interact. We are disrupting the global fashion industry with Artificial Intelligence for digital clothing, 3D PDP content, virtual beings, and transformational digital shopping experiences.
Our solutions include automated, high-quality 3D fashion content at scale, combined with generative AI, 3D virtualization, and interactive visual tools. These innovations help brands personalize shopping, enhance supply chains, boost profitability, improve sustainability, and significantly reduce costs.
Job Description
Develop and optimize machine learning models to run efficiently on mobile web and best exploit modern parallel environments.
Develop and deploy real time computer vision algorithms for the web in areas related to 3D reconstruction, rendering, and object detection and tracking.
Work with research and engineering teams to productionize machine learning services for immersive 3D experiences.
Requirements
1+ years of experience in the field of Artificial Intelligence (Computer Vision, Machine Learning).
Python programming is a must.
Strong experience working with at least one deep-learning library (e. g., PyTorch, Jax, TensorFlow, Caffe2).
Past experience should include formulation, training, and optimisation of new algorithms, applying process automation, and designing A.I. pipelines.
Strong grasp of CPU and GPU performance challenges and optimisation techniques.
Strong understanding of machine learning algorithms & principles (regression analysis, probabilistic models, supervised classification and unsupervised learning), and their application.
Applied experience with Deep Learning architectures such as Convolutional Neural Networks (VGG16, ResNet, DenseNet), Autoencoders, Generative adversarial network, and Siamese network.
Application of object detection and localization models like YOLO, RCNN, Mask-RCNN etc.
Working experience with machine learning library scikit-learn, and image processing tool OpenCV is also required (Python).
Good verbal and written communication in English.
Preferred
B.Tech, BS, MS or PhD in Computer Science, Electrical Engineering, or equivalent fields. Specialization in Machine Learning/Computer Vision ( CV focused on deep learning ) is preferred.
Excellent programming skills in Python are a must, and knowledge of C++, Matlab, Julia etc. is a plus.
Knowledge of working on tools like git, and docker on Linux operating systems is a plus.
Previous experience with deploying deep learning solutions (focused on computer vision) in production environments is a big plus.
What You Get
Pioneering R&D projects with decision-making authority.
Passionate, curious and motivated colleagues.
Task-driven rather than time-driven environment.
Coaching, mentoring & upskilling.
Opportunity to shape the fashion and retail industry.
Computer Vision Engineer
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The opportunity:
We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.
Some of your responsibilities will include:
- Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
- Take ownership to drive computer vision solutions and meet customer requirements.
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
- Developing data handling and machine learning pipelines for training.
- In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection.
- Implementing algorithms in robust, efficient, and well-tested code.
Skills and attributes for success:
To qualify for the role, you must have:
- Experience of minimum 2 years.
- Ability to develop Deep Learning frameworks to solve problems.
- Design and create platforms for image processing and visualization.
- Knowledge of computer vision libraries.
- Understanding of dataflow programming.
- B.E. (E&TC /Computer / IT / Mechanical / Electronics)
- C++, video analytics, CUDA, Deep stream
Interested Candidates can contact on Call/SMS/WhatsApp) / DM @Shruti Agrawal
Job Type: Full-time
Pay: ₹1,000, ₹1,500,000.00 per year
Work Location: In person
Computer Vision Engineer
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Job Title :
Computer Vision Engineer
Location :
Bangalore, India(On-site)
Job Type :
Full-Time
Company :
Ctruh Technologies
About Ctruh
Ctruh is a leader in 3D development services, partnering on cutting-edge projects with global clients. Our team is passionate about pushing the boundaries of visual and digital experiences, creating innovative 3D solutions. We're seeking an experienced engineer with expertise in computer vision, deep learning, and AI to drive impactful solutions.
Job Summary
As a Computer Vision Engineer, youll be responsible for designing and deploying advanced algorithms in computer vision, image processing, and deep learning. Collaborating with our 3D development team, youll build state-of-the-art models to enhance our applications in 3D reconstruction, object detection, and AR/MR/XR.
Key Responsibilities
- Algorithm Development : Design and optimise computer vision and deep learning algorithms for 3D applications.
- Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimisation to meet customer requirements
- Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision.
- Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals. Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints
- Documentation : Maintain code quality and document solutions for easy reference.
Qualifications
- Experience : 3 or 3+ years in computer vision, deep learning, and AI.
- Education : Bachelors or Masters in Computer Science, Data Science, Electrical Engineering, or related field.
Technical Skills
- Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV.
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Knowledge of algorithms and data structures relevant to computer vision.
- Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier. (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)
- Concepts of parallel architecture on GPU is an added advantage.
- Knowledge in linear algebra, calculus, and statistics
Preferred :
Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)
Why Join Ctruh ?
- Competitive salary and performance-based incentives.
- Health insurance and wellness benefits.
- A vibrant and collaborative work environment.
- Opportunities for professional growth and skill development.
- Exposure to innovative technologies and challenging projects.
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