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Senior Cybersecurity Engineer
1 month ago
Trellix is a cutting-edge cybersecurity company that harnesses artificial intelligence, analytics, and automation to create a resilient digital world. Our market-leading AI-powered XDR Platform learns and adapts to disrupt active threats and empower CISOs with living security.
The role will work on solving critical cybersecurity problems using machine learning. This includes identifying data requirements, feature engineering, model training, and deployment. Typical areas of exposure would be in the field of malware detection, malicious URL classification, and threat hunting.
About the Role:
As a Staff Data Scientist, you will work in a team of smart data scientists reporting to a Data Science Director that does full-lifecycle full-stack machine learning product development, from feature engineering to model building and evaluation.
- You will work on more than one project at any given point in time.
- You will mentor junior data scientists in the team.
- You will own at least one project end-to-end throughout the year, from problem identification to model deployment.
About You:
We are looking for a highly skilled Machine Learning Engineer with a strong background in artificial intelligence, computer science, or a related field. You should have a deep understanding of all major machine learning and deep learning algorithms, supervised and unsupervised both. You should be an expert in ML problem formulation, feature engineering, model training, and deployment. You should have a passion for leveraging ML/AI to solve real-world business problems and have 8+ years of industry experience in one or more machine/deep learning frameworks, as well as expertise in Python, PySpark, R, and SQL. Experience in solving multiple business problems using Machine Learning, public cloud services, and ML automation platforms is a plus.
