409 Computer Vision jobs in Noida
Computer Vision Engineer
Posted today
Job Viewed
Job Description
About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters
We are seeking a highly experienced Computer Vision Architect with deep expertise in Python to design and lead the development of cutting-edge vision-based systems. The ideal candidate will architect scalable solutions that leverage advanced image and video processing, deep learning, and real-time inference. You will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms.
Key Responsibilities:
- Architect and design end-to-end computer vision solutions for real-world applications (e.g., object detection, tracking, OCR, facial recognition, scene understanding, etc.)
- Lead R&D initiatives and prototype development using modern CV frameworks(OpenCV, PyTorch, TensorFlow, etc.)
- Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems
- Define architecture standards and best practices for Python-based CV pipelines
- Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions Stay updated with the latest advancements in computer vision, deep learning, and AI
- Mentor junior developers and contribute to code reviews, design discussions, and technical documentation
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (PhD is a plus)
- 8+ years of software development experience, with 5+ years in computer vision and deep learning
- Proficient in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow
- Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras
- Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification
- Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes)
- Experience working with video analytics, image annotation tools, and large-scale dataset pipelines
- Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services(AWS SageMaker, Azure ML, GCP AI)
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
Skills Required
Tensorflow, Numpy, Pytorch, Docker, Raspberry Pi, Python, ssd, video analytics, Azure ML, MLops, Opencv, Kubernetes
Computer Vision Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- Work Actively as a part of the Computer Vision and Deep Learning Team to Train Computer Vision Models
- Work Closely with the Data Science Team for Appropriate Dataset Curation
- Work on Challenging Problem Statements to fine-tune models with Huge Dataset
- Implementation of the SOTA Architectures for Model Training
- Work closely with the R&D Team towards improving model accuracy and precision for CCTV cameras
Requirements:
- Proficient with Training of Detection/Classification/Segmentation Models with Tensorflow/PyTorch
- Good understanding of Dataset Quality for Computer Vision Applications.
- Strong understanding of Model Training Dynamics. Should be able to find out the error and resolve it based on training/eval metrics.
- Good Theoretical and Practical Knowledge with the fundamentals of Deep Learning, eg. CNNs, Regularization Techniques, etc.
- Familiarity with State-of-the-Art Models like YOLO-series, Efficient Net/EfficientDet, etc.
- Experience with using Docker containers for Computer Vision/Deep Learning.
How we work:
- We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams.
- We value open discussion, ownership, and a founder mindset.
- We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making.
- We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year.
- We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor.
- Wobot is an Equal Opportunity Employer
If you have a passion for developing innovative computer vision solutions and want to work on cutting-edge technology, we encourage you to apply for this exciting opportunity.
Computer Vision Intern
Posted today
Job Viewed
Job Description
Company Description
Orbo.ai is at the forefront of developing AI-powered tools designed for beauty brands to enhance customer loyalty, engagement, and conversion rates. With its Beauty AI automation stack, Orbo.ai adds a visual and personalization layer to brand interactions, offering deep insights into facial attributes, skin tone, and abnormalities for customized product research. Orbo&aposs technology seamlessly integrates with E-commerce platforms, retail kiosks, and mobile apps, delivering a true omnichannel experience. Key features include makeup try-on, deep skin analysis, hairstyle, and hair color augmentation, and foundation shade finder.
Role DescriptionThis is a full-time on-site role located in Noida for a Computer Vision Intern. The intern will be responsible for assisting in developing computer vision algorithms, programming, and implementing machine learning models. Additionally, the intern will participate in data collection, preprocessing, and analysis, while collaborating with team members to enhance AI-powered tools. The role offers practical experience in a cutting-edge industry.
Qualifications- Programming skills, including proficiency in languages such as Python and experience with libraries like OpenCV
- Machining skills for developing and implementing machine learning algorithms and models
- Skills in Teaching, with the ability to share knowledge and collaborate effectively within the team
- Strong analytical and problem-solving skills
- Ability to work on-site in Noida
- Enrollment in a Bachelor&aposs or Master&aposs degree in Computer Science, Engineering, or a related field
- Experience in the beauty or retail industry is a plus
Skills Required
Machine Learning, Opencv, Python
Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Posted today
Job Viewed
Job Description
Position: Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Job Type: Full-time Internship
Location: Bengaluru (Hybrid setup)
Duration: 6 months (Extensible)
Compensation: Paid
Role Overview:
We are seeking a passionate Artificial Intelligence Intern to join our team and contribute to cutting-edge computer vision projects. The ideal candidate will have hands-on experience with building object detection , segmentation , and OCR models . Exposure to multimodal models is a strong advantage.
Responsibilities:
- Develop, train, and optimize object detection , segmentation , and OCR models using state-of-the-art frameworks like PyTorch or Tensorflow.
- Work with datasets to preprocess, annotate, and prepare data for training and validation.
- Research and experiment with multimodal models to integrate vision with other modalities.
- Optimize models for deployment, ensuring high performance and scalability.
- Collaborate with cross-functional teams to implement AI solutions in real-world applications.
- Stay updated on the latest advancements in computer vision and AI technologies.
- Document workflows, models, and experimental results comprehensively.
Qualifications Required:
- Proven experience with object detection , segmentation , and OCR models (e.g., YOLO, Mask R-CNN, EasyOCR, Tesseract).
- Strong understanding of computer vision concepts and deep learning.
- Proficiency in Python and libraries such as TensorFlow or PyTorch.
- Ability to work with datasets like COCO, Pascal VOC, or similar.
- Prior knowledge of building custom datasets and refining them.
Preferred (Good to Have):
- Experience with multimodal models like CLIP or similar.
- Familiarity with real-time inference techniques and model deployment tools (e.g., ONNX, TensorRT).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Strong problem-solving and analytical skills.
Additional Information:
- Location: Bengaluru (Hybrid setup with minimal travel requirements).
- Work Conditions: Full-time, structured for hands-on learning and project contributions.
Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Posted today
Job Viewed
Job Description
Position: Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Job Type: Full-time Internship
Location: Bengaluru (Hybrid setup)
Duration: 6 months (Extensible)
Compensation: Paid
Role Overview:
We are seeking a passionate Artificial Intelligence Intern to join our team and contribute to cutting-edge computer vision projects. The ideal candidate will have hands-on experience with building object detection , segmentation , and OCR models . Exposure to multimodal models is a strong advantage.
Responsibilities:
- Develop, train, and optimize object detection , segmentation , and OCR models using state-of-the-art frameworks like PyTorch or Tensorflow.
- Work with datasets to preprocess, annotate, and prepare data for training and validation.
- Research and experiment with multimodal models to integrate vision with other modalities.
- Optimize models for deployment, ensuring high performance and scalability.
- Collaborate with cross-functional teams to implement AI solutions in real-world applications.
- Stay updated on the latest advancements in computer vision and AI technologies.
- Document workflows, models, and experimental results comprehensively.
Qualifications Required:
- Proven experience with object detection , segmentation , and OCR models (e.g., YOLO, Mask R-CNN, EasyOCR, Tesseract).
- Strong understanding of computer vision concepts and deep learning.
- Proficiency in Python and libraries such as TensorFlow or PyTorch.
- Ability to work with datasets like COCO, Pascal VOC, or similar.
- Prior knowledge of building custom datasets and refining them.
Preferred (Good to Have):
- Experience with multimodal models like CLIP or similar.
- Familiarity with real-time inference techniques and model deployment tools (e.g., ONNX, TensorRT).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Strong problem-solving and analytical skills.
Additional Information:
- Location: Bengaluru (Hybrid setup with minimal travel requirements).
- Work Conditions: Full-time, structured for hands-on learning and project contributions.
Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Posted today
Job Viewed
Job Description
Position: Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Job Type: Full-time Internship
Location: Bengaluru (Hybrid setup)
Duration: 6 months (Extensible)
Compensation: Paid
Role Overview:
We are seeking a passionate Artificial Intelligence Intern to join our team and contribute to cutting-edge computer vision projects. The ideal candidate will have hands-on experience with building object detection , segmentation , and OCR models . Exposure to multimodal models is a strong advantage.
Responsibilities:
- Develop, train, and optimize object detection , segmentation , and OCR models using state-of-the-art frameworks like PyTorch or Tensorflow.
- Work with datasets to preprocess, annotate, and prepare data for training and validation.
- Research and experiment with multimodal models to integrate vision with other modalities.
- Optimize models for deployment, ensuring high performance and scalability.
- Collaborate with cross-functional teams to implement AI solutions in real-world applications.
- Stay updated on the latest advancements in computer vision and AI technologies.
- Document workflows, models, and experimental results comprehensively.
Qualifications Required:
- Proven experience with object detection , segmentation , and OCR models (e.g., YOLO, Mask R-CNN, EasyOCR, Tesseract).
- Strong understanding of computer vision concepts and deep learning.
- Proficiency in Python and libraries such as TensorFlow or PyTorch.
- Ability to work with datasets like COCO, Pascal VOC, or similar.
- Prior knowledge of building custom datasets and refining them.
Preferred (Good to Have):
- Experience with multimodal models like CLIP or similar.
- Familiarity with real-time inference techniques and model deployment tools (e.g., ONNX, TensorRT).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Strong problem-solving and analytical skills.
Additional Information:
- Location: Bengaluru (Hybrid setup with minimal travel requirements).
- Work Conditions: Full-time, structured for hands-on learning and project contributions.
Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Posted today
Job Viewed
Job Description
Position: Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Job Type: Full-time Internship
Location: Bengaluru (Hybrid setup)
Duration: 6 months (Extensible)
Compensation: Paid
Role Overview:
We are seeking a passionate Artificial Intelligence Intern to join our team and contribute to cutting-edge computer vision projects. The ideal candidate will have hands-on experience with building object detection , segmentation , and OCR models . Exposure to multimodal models is a strong advantage.
Responsibilities:
- Develop, train, and optimize object detection , segmentation , and OCR models using state-of-the-art frameworks like PyTorch or Tensorflow.
- Work with datasets to preprocess, annotate, and prepare data for training and validation.
- Research and experiment with multimodal models to integrate vision with other modalities.
- Optimize models for deployment, ensuring high performance and scalability.
- Collaborate with cross-functional teams to implement AI solutions in real-world applications.
- Stay updated on the latest advancements in computer vision and AI technologies.
- Document workflows, models, and experimental results comprehensively.
Qualifications Required:
- Proven experience with object detection , segmentation , and OCR models (e.g., YOLO, Mask R-CNN, EasyOCR, Tesseract).
- Strong understanding of computer vision concepts and deep learning.
- Proficiency in Python and libraries such as TensorFlow or PyTorch.
- Ability to work with datasets like COCO, Pascal VOC, or similar.
- Prior knowledge of building custom datasets and refining them.
Preferred (Good to Have):
- Experience with multimodal models like CLIP or similar.
- Familiarity with real-time inference techniques and model deployment tools (e.g., ONNX, TensorRT).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Strong problem-solving and analytical skills.
Additional Information:
- Location: Bengaluru (Hybrid setup with minimal travel requirements).
- Work Conditions: Full-time, structured for hands-on learning and project contributions.
Be The First To Know
About the latest Computer vision Jobs in Noida !
Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Posted today
Job Viewed
Job Description
Position: Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Job Type: Full-time Internship
Location: Bengaluru (Hybrid setup)
Duration: 6 months (Extensible)
Compensation: Paid
Role Overview:
We are seeking a passionate Artificial Intelligence Intern to join our team and contribute to cutting-edge computer vision projects. The ideal candidate will have hands-on experience with building object detection , segmentation , and OCR models . Exposure to multimodal models is a strong advantage.
Responsibilities:
- Develop, train, and optimize object detection , segmentation , and OCR models using state-of-the-art frameworks like PyTorch or Tensorflow.
- Work with datasets to preprocess, annotate, and prepare data for training and validation.
- Research and experiment with multimodal models to integrate vision with other modalities.
- Optimize models for deployment, ensuring high performance and scalability.
- Collaborate with cross-functional teams to implement AI solutions in real-world applications.
- Stay updated on the latest advancements in computer vision and AI technologies.
- Document workflows, models, and experimental results comprehensively.
Qualifications Required:
- Proven experience with object detection , segmentation , and OCR models (e.g., YOLO, Mask R-CNN, EasyOCR, Tesseract).
- Strong understanding of computer vision concepts and deep learning.
- Proficiency in Python and libraries such as TensorFlow or PyTorch.
- Ability to work with datasets like COCO, Pascal VOC, or similar.
- Prior knowledge of building custom datasets and refining them.
Preferred (Good to Have):
- Experience with multimodal models like CLIP or similar.
- Familiarity with real-time inference techniques and model deployment tools (e.g., ONNX, TensorRT).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Strong problem-solving and analytical skills.
Additional Information:
- Location: Bengaluru (Hybrid setup with minimal travel requirements).
- Work Conditions: Full-time, structured for hands-on learning and project contributions.
Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Posted today
Job Viewed
Job Description
Position: Artificial Intelligence Intern (Computer Vision & Visual Reasoning)
Job Type: Full-time Internship
Location: Bengaluru (Hybrid setup)
Duration: 6 months (Extensible)
Compensation: Paid
Role Overview:
We are seeking a passionate Artificial Intelligence Intern to join our team and contribute to cutting-edge computer vision projects. The ideal candidate will have hands-on experience with building object detection , segmentation , and OCR models . Exposure to multimodal models is a strong advantage.
Responsibilities:
- Develop, train, and optimize object detection , segmentation , and OCR models using state-of-the-art frameworks like PyTorch or Tensorflow.
- Work with datasets to preprocess, annotate, and prepare data for training and validation.
- Research and experiment with multimodal models to integrate vision with other modalities.
- Optimize models for deployment, ensuring high performance and scalability.
- Collaborate with cross-functional teams to implement AI solutions in real-world applications.
- Stay updated on the latest advancements in computer vision and AI technologies.
- Document workflows, models, and experimental results comprehensively.
Qualifications Required:
- Proven experience with object detection , segmentation , and OCR models (e.g., YOLO, Mask R-CNN, EasyOCR, Tesseract).
- Strong understanding of computer vision concepts and deep learning.
- Proficiency in Python and libraries such as TensorFlow or PyTorch.
- Ability to work with datasets like COCO, Pascal VOC, or similar.
- Prior knowledge of building custom datasets and refining them.
Preferred (Good to Have):
- Experience with multimodal models like CLIP or similar.
- Familiarity with real-time inference techniques and model deployment tools (e.g., ONNX, TensorRT).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Strong problem-solving and analytical skills.
Additional Information:
- Location: Bengaluru (Hybrid setup with minimal travel requirements).
- Work Conditions: Full-time, structured for hands-on learning and project contributions.