416 Computer Vision jobs in Noida

Job Title: Deep Learning & Computer Vision Engineer

Company: Confidential

Location: On-site (Delhi)

Employment Type: Full-Time

Experience: 3–5 Years

Role Overview

We are seeking a Deep Learning & Computer Vision Engineer to design, develop, and deploy AI-powered solutions. You will be responsible for building real-time computer vision pipelines, implementing state-of-the-art deep learning models, and bringing research concepts into production. This is an exciting opportunity to work in a fast-paced startup environment where your work directly shapes innovative products.

Key Responsibilities

• Design and implement deep learning models for image classification, object detection, segmentation, and tracking.
  
• Develop computer vision pipelines for real-time applications.
  
• Research and apply the latest AI and computer vision techniques from research papers to production systems.
  
• Deploy, optimize, and maintain models on cloud platforms (AWS, GCP, Azure).
  
• Work with large datasets, performing preprocessing and data augmentation .
  
• Collaborate with cross-functional teams to integrate AI into products.
  
• Monitor model performance and improve efficiency.
  
• Mentor junior engineers and support team knowledge sharing.
  

Required Skills & Qualifications

• 3–5 years of experience in deep learning and computer vision .
  
• Proficiency in Python and frameworks like TensorFlow, PyTorch, Keras .
  
• Strong understanding of OpenCV and computer vision algorithms.
  
• Hands-on experience with neural architectures (CNNs, YOLO, ResNet, Transformers ).
  
• Experience deploying models on AWS/GCP/Azure and knowledge of MLOps (Docker, Git, CI/CD).
  
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  

Preferred Qualifications

• Experience with ROS and robotics applications.
  
• Knowledge of model optimization techniques (quantization, pruning).
  
• Requirements
  Required Skills & Qualifications 3–5 years of experience in deep learning and computer vision. Proficiency in Python and frameworks like TensorFlow, PyTorch, Keras. Strong understanding of OpenCV and computer vision algorithms. Hands-on experience with neural architectures (CNNs, YOLO, ResNet, Transformers). Experience deploying models on AWS/GCP/Azure and knowledge of MLOps (Docker, Git, CI/CD). Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Preferred Qualifications Experience with ROS and robotics applications. Knowledge of model optimization techniques (quantization, pruning).

• Conduct cutting-edge research in computer vision and deep learning.
• Design, develop, and implement novel AI algorithms and models for image and video analysis.
• Experiment with and fine-tune various deep learning architectures (CNNs, Transformers, GANs, etc.).
• Process and analyze large-scale image and video datasets.
• Evaluate model performance and identify areas for improvement.
• Collaborate with software engineers to integrate research prototypes into production systems.
• Stay current with the latest advancements in AI, machine learning, and computer vision research.
• Publish research findings in top-tier academic conferences and journals.
• Mentor junior researchers and engineers.
• Contribute to the overall AI strategy and roadmap of the organization.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on computer vision.
• Proven track record of research in computer vision and deep learning, evidenced by publications in reputable venues.
• Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python.
• Solid understanding of classical computer vision techniques and modern deep learning approaches.
• Experience with data preprocessing, augmentation, and dataset management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to present complex ideas clearly.
• Ability to work independently and as part of a remote research team.

• Conduct advanced research in computer vision and deep learning for various applications.
• Develop and implement novel algorithms for image and video analysis, object detection, tracking, and recognition.
• Design, train, and evaluate deep neural networks for complex computer vision tasks.
• Collaborate with cross-functional teams to integrate AI models into product roadmaps.
• Analyze large datasets, identify patterns, and extract meaningful insights.
• Stay abreast of the latest research advancements in AI, machine learning, and computer vision.
• Publish research findings in leading academic journals and present at international conferences.
• Contribute to the intellectual property portfolio through patents and technical disclosures.
• Mentor junior researchers and contribute to a culture of innovation and learning.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field with a specialization in Computer Vision.
• Proven track record of research and publications in top-tier computer vision conferences/journals (e.g., CVPR, ICCV, ECCV).
• Strong theoretical understanding and practical experience with deep learning frameworks (TensorFlow, PyTorch).
• Proficiency in Python and relevant libraries (OpenCV, NumPy, SciPy).
• Experience with large-scale datasets and distributed computing environments.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration abilities.

• Designing, developing, and implementing state-of-the-art computer vision models.
• Training and fine-tuning deep learning models for various vision tasks (classification, detection, segmentation, etc.).
• Performing data augmentation, preprocessing, and feature engineering.
• Evaluating model performance and optimizing algorithms for accuracy and efficiency.
• Deploying ML models into production environments using cloud platforms and MLOps practices.
• Collaborating with cross-functional teams to define project requirements and deliverables.
• Staying current with the latest research and advancements in AI/ML and computer vision.
• Writing clean, maintainable, and well-documented code.
• Contributing to the overall AI/ML strategy and roadmap.
• Mentoring junior engineers and sharing technical expertise.

• Lead cutting-edge research in computer vision and deep learning.
• Develop and implement novel AI algorithms and models.
• Design, execute, and analyze experiments to validate research hypotheses.
• Mentor and guide junior AI researchers and engineers.
• Collaborate with product and engineering teams to integrate AI solutions.
• Stay abreast of the latest advancements in AI and machine learning.
• Publish research findings in top-tier conferences and journals.
• Contribute to the strategic direction of the AI research roadmap.
• Evaluate and adopt new tools and technologies for AI development.
• Present research findings to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of research experience in computer vision and deep learning.
• Strong publication record in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
• Expertise in CNNs, object detection, segmentation, and other computer vision tasks.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale datasets and distributed training.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Strong communication and presentation skills.
• Demonstrated ability to lead research projects and mentor junior team members.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.