Explore exciting opportunities in computer vision, a rapidly advancing field within artificial intelligence. Computer vision jobs involve developing algorithms that allow computers to "see" and interpret images, much like humans do. This technology is transforming industries, including healthcare, automotive, and manufacturing, creating a high demand for skilled professionals.9,652 Computer Vision jobs in India
Computer Vision Engineer
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Job Description
This role is for one of the Weekday's clients
Salary range: Rs - Rs (ie INR 10-15 LPA)
Min Experience: 4 years
JobType: full-time
We are seeking a skilled and experienced Computer Vision Engineer to join our dynamic AI/ML team. In this role, you will be responsible for designing, developing, and deploying computer vision solutions that leverage state-of-the-art models and frameworks. Your work will directly contribute to real-time systems in industries such as surveillance, automotive, healthcare, and retail.
As a key member of our engineering team, you will lead the development of models and pipelines using YOLO , PyTorch , and OpenCV , and deploy scalable solutions using Python . You will collaborate closely with data scientists, machine learning engineers, and product managers to build solutions that power intelligent visual recognition capabilities.
Requirements
Key Responsibilities- Design and implement computer vision models and systems tailored to business requirements using deep learning techniques.
- Develop object detection, image classification, segmentation, and tracking solutions using YOLO and other relevant architectures.
- Use and customize OpenCV and PyTorch for image preprocessing, augmentation, and model training.
- Optimize model performance for both accuracy and inference speed on edge devices and cloud environments.
- Work with large-scale datasets: data collection, cleaning, annotation, and augmentation.
- Perform rigorous validation and testing of CV models to ensure robustness and generalizability.
- Collaborate with cross-functional teams for integration of computer vision modules into products and platforms.
- Keep up-to-date with the latest research trends, tools, and libraries in computer vision and deep learning.
- 4–8 years of industry experience in developing and deploying computer vision applications.
- Proficiency in Python with hands-on experience in PyTorch for deep learning model development.
- Strong command of OpenCV for image and video processing tasks.
- Expertise in YOLO (You Only Look Once) for real-time object detection.
- Solid understanding of computer vision fundamentals including feature extraction, object detection, classification, and tracking.
- Experience in training, fine-tuning, and evaluating deep learning models on real-world datasets.
- Ability to write clean, efficient, and modular code with proper documentation.
- Familiarity with GPU acceleration and performance optimization for inference.
- Experience working with version control systems like Git.
- Master’s or Bachelor’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
- Experience deploying CV models in production environments (e.g., on cloud or edge devices).
- Familiarity with ONNX, TensorRT, or similar model optimization frameworks.
- Knowledge of CI/CD pipelines for ML deployment.
Computer Vision Engineer
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Job Description
Job Overview:
Master-Works is looking for a skilled Computer Vision Engineer to join our innovative team. In this role, you will leverage your expertise in image processing and machine learning to design and implement advanced computer vision solutions. Your contributions will be pivotal in enhancing our product offerings and developing state-of-the-art technology to solve real-world challenges.
Experience: 4-12 years
Location: Hyderabad (5 Days Work from Office)
Working Days: Sunday to Thursday
Working Hours: 10AM to 6PM
Key Responsibilities:
* Develop and optimize algorithms for various computer vision applications.
* Utilize OpenCV, Python, and deep learning frameworks to train and deploy models.
* Explore and implement techniques such as object detection, segmentation, and classification.
* Conduct research on cutting-edge technologies and validate through proof of concepts (POCs).
* Collaborate with cross-functional teams to integrate computer vision solutions across products.
* Document and present research findings and technical solutions to stakeholders.
Requirements
* Strong programming skills in C++ and Python (Mandatory)
* Expertise in Object Detection and Computer Vision techniques (Mandatory)
* Experience with deep learning frameworks such as Keras, TensorFlow, or PyTorch (Mandatory)
* Solid understanding of Image Processing fundamentals (Mandatory)
* Knowledge of Machine Learning, Data Science, and Pattern Recognition.
* Experience with deployment practices (Docker, Kubernetes, etc.)
* Familiarity with SQL and Flask for data management and web service development is a plus.
* Excellent problem-solving skills and ability to work independently or as part of a team.
Computer Vision Engineer
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Job Description
Required skills:
1. Research to AI model development including data procuring and analysis, prototyping, testing, and deployment.
2. Working closely with leaders to apply AI/ML to create features, collaborate with the backend team, and collaborate with infrastructure engineers to deploy, and model pipelines.
3. Writing production-level, re-usable, easy-to-interpret code in Python(required), or other languages, while engaging in collaborative code reviews.
4. Establish scalable, efficient, large-scale data analysis, model development, model validation, and model implementation.
Must haves:
1. Total Experience: 3-4 Years in Computer Vision, Deep Learning.
2. Minimum qualification: B.E/B.Tech. in Computer Science/Electronics or equivalent stream.
3. Strong programming skills in Python(mandatory), and C++ (add-on) and experience of Ski-Learn/NumPy libraries.
4. Solid understanding of linear algebra, algorithms, machine learning, optimization, and numerical methods.
5. Good experience in Image processing/Computer vision.
6. End-to-end CNN Model Customization and training experience in classification, detection, segmentation, etc.
7. Strong experience with Deep Learning frameworks – PyTorch, TensorFlow, Keras.
Good to have:
Experience with AWS/Azure or any other cloud-based ML platform to deploy model in the Cloud.
Research papers
Computer Vision Scientist
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Job Description
Manage the annotation of datasets via external vendors
Create and manage Kubernetes clusters of cloud-based CV products
Select and manage external vendors and dev teams to support our projects
Create mobile and cloud-based CNNs for object classification
Design, engineer, and manage our system architecture and data strategy
work with our internal engineering team to create new products
Use phone-based LiDAR as ground truth annotation for training sets
Train ML models to an approximate distance within images
understand and apply 2D and 3D mathematical concepts (linear algebra, matrix multiplication, quaternions, etc)
Candidate should have:
Experience Testing, diagnosing and fixing bugs
Experience building web apps, APIs, and SDKs
Capacity to prioritize tasks through self-directed time management and organization
Experience with Detectron 2, TensorFlow & TensorFlow3D, AlexNet, MXnet, Kubernetes, and other ML frameworks
Experience deploying CV models on a mobile device (iOS preferred)
4-6 years working on deployed CV projects
Experience with React, Node.js, and/or MongoDB
Strong Python, C++, Objective C and/or Swift, Pytorch, and javascript coding proficiency
.3D content experience, dealing with point clouds, 3D meshes, shaders, rendering pipelines, and procedural content generation
Unity/Unreal experience or 3D content creation experience (Blender, Maya, Houdini, Rhino, etc)
Computer Vision Intern
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Job Description
Selected intern and #x27;s day-to-day responsibilities include:
1. Work actively as a part of the computer vision and deep learning team to train computer vision models
2. Work closely with the data science team for appropriate dataset curation
3. Work on challenging problem statements to fine-tune models with a huge dataset
4. Work on the implementation of the SOTA architectures for model training
5. Work on improving model accuracy and precision for CCTV cameras
6. Work on comparing the accuracy and performance of different CV models for a particular task
7. Work on creating and maintaining software documentation
8. Work on bug fixing and improving application performance
Stipend: INR 12,500/Month
Working days: Mon- Fri
PPO: Performance based
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