Essential position responsibilities:

• Explore, train, and implement challenging state-of-the-art ML/RL algorithms to detect cybersecurity threats and anomalies in real-time.
• Test and provide an analytics-based model for Quality Assurance.
• Implementation of SOTA approaches
• Prototype quickly and implement new ideas with the help of ML and RL.
• Convert proven, useful prototypes into well-documented and production-ready code.
• Optimize python code base for production models.

Required skills:

• At least 5+ years of experience in Machine Learning algorithms research and development.
• Proven practical experience in building and training Unsupervised, Semi-Supervised, and Data Clustering models.
• Practical experience in developing Tabular Data & Time Series models.
• Deep knowledge of statistics and linear algebra.
• Engineering background as you’ll be actively using Python.
• Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions with the help of ML and RL algorithms.

Would be a big plus:

• Practical experience in developing ML algorithms for detecting anomalies and cybersecurity threats.
• Practical knowledge and understanding of Reinforcement Learning in cybersecurity.
• Experience in developing solutions IoT & Edge and network security.
• Rust, C++.