Applications are open for the Machine Learning Internship at CloudSEK in Bangalore. Check eligibility and apply earliest!
CloudSEK, one of India’s most trusted cybersecurity product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention.
Founded in 2015 and headquartered in Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including:
CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies.
CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats, enriches them with cyber intelligence, and provides workflows to manage and remediate all identified threats, including takedown support.
CloudSEK’s BVigil is a powerful attack surface monitoring tool that provides visibility and intelligence on customers’ attack surfaces. It uses a combination of Mobile, Web, Network, and Encryption Scanners to map and protect known and unknown assets.
In this position, you will develop and optimise Machine Learning models for Cloud-AI. In addition, responsibilities are working as a part of CloudSek’s Data Science team, which is researching and prototyping cutting-edge ML/DL techniques to build the world’s best cloud risk assessment platform. This includes fast prototyping DL models with high-level libraries like Keras and robust implementation, taking full advantage of leading frameworks.
1. Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks, etc.)
2. Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, etc.) and a knack to imagine new schemas that work for the given data.
3. NLP expertise, especially in Language modeling, at least experience in using pre-trained language models (Transformer /GPT /BERT)
4. Great programming skills with expertise in Python development standards
5. Fluency in Python package ecosystem, especially ML/ DL packages like TensorFlow, PyTorch, etc.
6. Functional expertise in DL modeling practices specific to data at hand (Model size, training procedures, hand-designed layers, etc.)
7. Familiarity with code production standards and version control systems
Interested candidates can directly apply through this link.
Bangalore, Karnataka.
CloudSEK offers a hybrid working model.