402 Computer Vision jobs in Hyderabad
Computer Vision Lead
Posted today
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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 Engineer
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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.
Senior Computer Vision Engineer
Posted today
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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.
Machine Learning Engineer - Computer Vision
Posted 10 days ago
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Lead AI Researcher - Computer Vision
Posted today
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Responsibilities:
- Lead and direct research efforts in the field of Computer Vision and AI.
- Develop and implement novel algorithms for image recognition, object detection, and video analysis.
- Conduct cutting-edge research in deep learning and neural networks for visual tasks.
- Design and execute experiments to validate research hypotheses and measure performance.
- Publish research findings in leading AI/ML conferences and journals.
- Mentor and guide a team of AI researchers and engineers.
- Collaborate with product teams to integrate research advancements into new products.
- Stay abreast of the latest advancements and trends in AI and Computer Vision.
- Contribute to the strategic direction of the company's AI research roadmap.
- Present research progress and findings to technical and executive teams.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- 8+ years of research experience in Computer Vision and AI, with demonstrated leadership capabilities.
- Proven track record of significant publications in top-tier AI/ML venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Strong theoretical understanding of machine learning, pattern recognition, and image processing.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership, mentorship, and team management abilities.
- Exceptional written and verbal communication skills.
- Ability to work effectively in a fast-paced, innovative research environment.
Sr. Computer Vision Engineer (Pytorch)
Posted today
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As a Sr. Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations. Majority of our work is focused on applied Computer Vision - so a good understanding of current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks). You will be working on Pytorch as primary language - so prior demonstrated knowledge of Pytorch is must for this position. Any experience with Azure, Azure ML Studio framework etc., would also be preferable.
Candidates are expected to stay current with the latest features and contribute to the open-source Pytorch project with a focus on performance and accuracy improvements. You deeply understand the PyTorch framework and underlying implementations to solve customer challenges., and provide insights into how key issues affect the product. Many of our models get deployed to the edge - so experience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferable.
You must possess excellent Python coding skills - as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
Responsibilities:
Understanding business objectives and developing Computer Vision based solutions that help achieve it. The software could involve training framework, inference framework, working with different technologies for ML.
You will build models and solutions with Pytorch. You will optimize the Pytorch models for different runtime environments including NVIDIA Jetson TensorRT.
Guide the development team with their works, unblock their questions, help accelerate their deliverables.Developing ML/Computer Vision algorithms that could be used to solve a given problem.
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Develop processes for different common operations of the team: data acquisition, model training, prototype development.
Finding open-source datasets for prototype development.
Develop pipelines for data processing, augmentation, training, inference and active retraining.
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production
Requirements:
Bachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields.
5+ years of experience. Exceptional candidates with less experience are welcome to apply.
Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors etc).
Sound knowledge of various deep learning classification models including ResNet, Inception, VGG etc and object detection models including MobileNetSSD, Yolo, FastRCNN, MaskRCNN etc.
Good knowledge of Pytorch, Torchvision, writing training routines. Ability to update models, add/drop features, visualize how the model is performing etc.
Experience in Colab and Jupyter Notebook
Familiarity with CUDA/GPU
Knowledge of CNN visualization techniques such as CAM, GradCAM etc.
Strong understanding of Computer Vision and Real-time Video Processing techniques.
Strong experience with Python and writing reusable code.
Experience working with OpenCV and Scikit packages.
Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT).
Experience with Python web framework, e.g. Flask, Django or FastAPI
Experience with different ML platforms: PyTorch, TensorFlow.
Proficiency with AWS SageMaker
Experience with databases (Elasticsearch, SQL, NoSQL, Hive, …)
Experience in a cloud environment for software development and deployment (AWS preferred)
Experience with utilising various GPU-based training infrastructures.
Experience with Docker
Knowledge of DevOps and MLOps best practices for production Machine Learning systems.
Desired Traits:
Thrive in a collaborative environment.
Flexible with changing requirements.
Come up with innovative solutions.
Keen focus on work quality & developing robust code.
Senior Machine Learning Engineer - Computer Vision
Posted 6 days ago
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Key Responsibilities:
- Design, train, and deploy advanced machine learning models for computer vision tasks, including object detection, segmentation, classification, and tracking.
- Develop and implement deep learning architectures (CNNs, RNNs, Transformers) using frameworks like TensorFlow or PyTorch.
- Process and analyze large-scale image and video datasets, ensuring data quality and integrity.
- Collaborate with product managers and software engineers to integrate ML models into production systems.
- Conduct research into novel ML algorithms and techniques to advance our computer vision capabilities.
- Optimize model performance for accuracy, efficiency, and real-time applications.
- Stay abreast of the latest research papers, industry trends, and best practices in machine learning and computer vision.
- Write clean, well-documented, and efficient code for ML pipelines and production systems.
- Evaluate and benchmark model performance, identifying areas for improvement.
- Contribute to the overall ML strategy and technology roadmap.
- Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning models, with a strong specialization in computer vision.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, OpenCV, and scikit-learn.
- Solid understanding of deep learning concepts, convolutional neural networks (CNNs), and other relevant architectures.
- Experience with large-scale data processing and working with diverse image/video datasets.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a fully remote team.
- Proven ability to manage projects independently and deliver high-quality results.
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Senior AI Research Scientist - Computer Vision
Posted 1 day ago
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Key Responsibilities:
- Conduct advanced research in computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop, implement, and evaluate novel deep learning models and algorithms for vision tasks.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research into production-ready systems.
- Design and execute experiments to validate research hypotheses and measure model performance.
- Stay current with the latest advancements in AI, machine learning, and computer vision literature and conferences.
- Publish research findings in top-tier academic venues and contribute to intellectual property development.
- Mentor junior researchers and contribute to the team's knowledge sharing and technical growth.
- Analyze large datasets to identify patterns, extract insights, and improve model accuracy.
- Contribute to the overall AI strategy and roadmap of the organization.
- Participate in team meetings, brainstorming sessions, and provide technical leadership.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a specialization in Computer Vision.
- 5+ years of hands-on research experience in computer vision and deep learning.
- Strong publication record in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with large-scale datasets and distributed training is highly desirable.
- Solid understanding of image processing techniques and classical computer vision algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid work model.
This is a unique opportunity to work on challenging problems with a team of world-class researchers and engineers, contributing to groundbreaking AI innovations. Our client offers a stimulating work environment, competitive compensation, and ample opportunities for professional growth and development.
Lead AI Research Scientist - Computer Vision
Posted 8 days ago
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Key Responsibilities:
- Conduct advanced research in computer vision, deep learning, and related AI fields.
- Design, develop, and implement novel AI algorithms for tasks such as object detection, image segmentation, facial recognition, and generative modeling.
- Stay current with the latest research papers and trends in AI and computer vision.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Mentor and guide junior researchers and engineers.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of the company's AI strategy and roadmap.
- Evaluate and benchmark new algorithms and technologies.
- Develop proof-of-concepts and conduct feasibility studies for new AI applications.
- Present research findings and project progress to technical and non-technical stakeholders.
- Champion best practices in AI research and development within a remote setting.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of hands-on research experience in computer vision and deep learning.
- Strong publication record in leading AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in various computer vision techniques and libraries (e.g., OpenCV).
- Experience with large-scale datasets and distributed training is a plus.
- Excellent problem-solving and critical-thinking skills.
- Ability to work independently and effectively in a remote, asynchronous environment.
- Strong communication and presentation skills.
- Demonstrated ability to lead research initiatives and mentor team members.