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Salary
≈ $24k – $50k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
Career Makers is an Indian company that posts technology vacancies in Bengaluru, ranging from full-stack and user interface developers to design-for-test engineers and computer vision scientists. Some of its roles are for a cyber deception technology platform built with VueJS and NuxtJS. The company is headquartered in Bengaluru, India.

Description :

Position Summary :


- Contribute towards Research and Development of Computer vision and AI solutions for embedded devices

- Technically guide and mentor research team in developing advanced Machine learning algorithms for Computer Vision

- Working closely with multiple stakeholders to bring Research outcome in products.

Roles and Responsibilities :

- Leading Research and Development team for building Deep Learning based Vision Algorithms

- Design of Neural Network architectures for various Vision problems on embedded devices

- Coming up with Innovations in Deep learning training techniques to boost the solution performance

- Keeping continuously updated with the various research trends in the Computer Vision

- Collaborating with other Research teams and building world best solutions

Skills and Qualifications :

- PhD/MS/MTech with specialization in Computer Vision and Machine Learning

- Prior industry experience in leading industry research teams will be a big plus.

- Good programming capabilities in as C/C++, Java, Python

- Hands on Experience with ML frameworks such as TensorFlow/PyTorch/Caffe is preferable

- Working level familiarity with Android platform will be a huge plus

- Expertise in ML techniques such as SVM, boosting, KNN, HMM, GMM, Ensemble classifier and Deep learning

- Strong knowledge of traditional Computer Vision algorithms such as object detection, classification, segmentation will be a plus


Skills

Computer Vision, Artificial Intelligence, Data Modeling, Data Analytics, Python, Tensorflow, Deep Learning, Machine Learning, Data Scientist, Neural Networks

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