Computer Vision And Machine Learning Researcher
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Job Description
- You will participate in cutting edge research in machine learning and computer vision
- Learn and implement state of the art best practices to create accurate and lightweight models
- You will have the freedom to write research papers and publish yourself in top conferences.
- You will apply your knowledge to analyse problems, devise solutions and construct valid metrics with best practices.
- Come up with practical and deployable solutions. Ensure successful technology transfers to Fynd products
- A BS, MS, PhD or equivalent experience in a quantitative field (Computer Science, Applied Mathematics or related technical field).
- Experience in one or more of the following areas - Image Restoration, Image Enhancement, Unsupervised Learning, Compression, Generative Models, 3D computer vision, Object detection and tracking or related computer vision topics
- Multiple publications in top conferences
- Strong background and understanding of mathematical concepts relating to probabilistic models, linear algebra and probability
- Knowledge of computer vision/image processing techniques and awareness for existing and trending algorithms and research of Computer Vision domain.
- Programming experience in one or more of the following: C, C++, Python, and/or functional programming languages and deep learning frameworks like - - Tensorflow/Keras/PyTorch
- An attractive remuneration package
- Opportunity to collaborate with some of the brightest and best minds in India
- We pride ourselves in helping you realise your potential and give you the opportunity to be innovative
- Learning Wallet: Enrol in external courses or certifications to upskill—we’ll reimburse the costs to support your development.
- Regular community engagement and team-building activities
- Biannual events to celebrate achievements, foster collaboration, and strengthen our workplace culture
Skills
PythonC++CMachine LearningDeep LearningComputer VisionTensorFlowPyTorchKerasLogisticsQuality ControlCommunicationTeamsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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