With an R&D mindset, the research outcome will be integrated into products.
The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.
You will be able to directly impact protections against major vulnerabilities.
Key Responsibilities
Be part of the Innovation team that is responsible for Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within .
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.
BSc in Computer Science/Software Engineering or equivalent knowledge.
At least 3 years of experience in product-oriented data analytics/feature engineering/data science/research /hypothesis lead research.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Experience with productizing machine learning models and/or implementation of Data Pipelines.
Experience working with large and complex data sets.
Experience with Cloud services.
Fast learning and ability to dive into new technologies and new pieces of code.
Enthusiastic and motivated to improve.
Independent thinker with a desire to learn.
