Identify strong AI/ML use cases in cloud security, data security, and adjacent domains, leveraging Netskope s rich set of data sources
Define scalable data acquisition and labeling strategy for specific use cases
Work with data engineers to retrieve, clean, and normalize data and ensure a scalable and continuous high-quality data stream
Work closely with threat research and development teams in feature engineering, making sure high-quality feature sets are chosen in a systematic way
Select ML models for defined use cases and implement KPIs to ensure optimal algorithms and results
Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate
Interpret results and communicate findings
Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity, and other important aspects
Work closely with development and QE teams in productization
Be an evangelist of AI/ML within Netskope and promote AI/ML wherever applicable, beyond security use cases
Collaborate with the data analytics team to define new platform requirements and continuously improve our horizontally scalable data lake
Qualifications/Requirements
Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end
Ability to think outside the box and evaluate results based on customer value
5 years of industry experience in applying AI/ML, preferably on well-known security products or services, such as malware detection, anomaly detection, security analytics, and data security
Experience applying AI/ML in more than one domain highly desirable
Hands-on experience with relevant technology stacks such as CUDA, Python, R, Spark, Flink, or Tensorflow
Hands-on experience using modern big data pipelines
Natural language process (NLP) and data mining experience highly desirable
Security research experience and strong security domain knowledge highly desirable
Energetic self-starter with the desire to work in a dynamic fast-paced environment
Excellent verbal and written communication skills
Ability to influence without authority
Education
Advanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree