AI Scientist at Synapsica Technologies Pvt Ltd · Bengaluru (Bangalore) · 3 - 7 years · ₹7L - ₹20L / yr (ESOP available) · Raised funding · Posted 21 Apr 2022

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.
Requirements:
- 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
- Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
- CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
- Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
- End to end deployment of deep learning models.

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Immedieate joiners are preferred or those who cn join withn 15-20 days. - B.Tech in Computer Science from premier institute (IIT/NIT/IIIT)or equivalent work experience - 2 years’ experience developing Backend systems - Good understanding of algorithms and data structures - Knowledge of Cache, Queues, NoSQL & RDBMS(Mysql) - Proficiency in PHP/Python/Ruby/Java - Experience with MVC architectural pattern / framework like Django, ROR, Node.js - Experience of object-oriented programming / modular programming - Ability to multi-task, work with ambiguity and quickly re-prioritizing responsibilities - Experience with Agile software development - Knowledge of testing performance & stability using tools - Experience with either Github or GitLab, Confluence, & Jira
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Professional experience required: Total experience: 2+ Years
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Behavioral Attributes: - Must have excellent communication skills - Must be the ability come up with innovative ideas and out-of-the-box solutions - Must be willing to challenge conventional methods to achieve exponential results |
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