Data Scientist Full-time Job1 year ago - IT Tech & Telecoms - Singapore - 3559 views
At least 2 years of experience in Python, Unix/Linux with machine learning tools including Tensorflow, LSTM and other models. Should have designed and built at least one system from the ground up and made it into an application. Should also have experience in building APIs and using it for application integration along with Visualization tools using Python-based production environment.
1. Developing, enhancing, automating, and managing analytics models for anomaly detection.
2. Run those models into the production environment with static as well as distributed databases.
3. Exploring and evaluating new digital tools and techniques to improve the product’s operational capabilities
4. Provide engineering support of key testing activities, including support of laboratory and field testing activities
The candidate will get to work on the state of the art intrusion attacks and how to prevent them. As a startup company, the candidate will get to work on wide domain of technologies which will increase the breadth of the experience of the candidate. This will provide insight information about the industry trend and will groom the candidate for future prospects.
MicroSec (www.usec.io) is a startup working in the domain of IoT an OT cybersecurity. MicroSec is revolutionizing Cyber-security for IoT and is helping to build smart cities across the globe. MicroSec is building World's first Enterprise Grade Security Software for IoT and Sensor Network. MicroSecs' team comprise of Hackers, Researchers and Cryptographers. (Read more about MicroSec: https://www.sginnovate.com/blog/security-made-simple)
MicroSec believes in an open team culture with self-learning aspects. The company culture fosters innovation and hacking environment where developers/interns get to learn real-world hacks and discover vulnerabilities in the given system. Candidates will get to work on world-class security protocols intended for IoT and smart city applications along with platforms like Raspberry PI, Beaglebone, Arduino and other embedded systems.