Responsibilities
- Provide technical leadership and strategic direction for scaling and operating Wootcloud s device detection, risk and threat analytics.
- Spear head in bringing leading technologies, best practices to the team.
- Refine existing technologies that makes the product more performant while delivering on business requirements.
- Design and implement features baked on with product requirements in collaboration with product managers, other developers and QA.
- Engage in cross functional team conversation to help prioritize tasks, communicate clearly to team members about their goals and overall deliver on business requirements.
- Bring excellent analytical and problem-solving skills, coupled with discretion and sound independent judgment
- Work with data engineers to retrieve, clean and normalize data
- Define scalable data acquisition and labeling strategy for specific use cases
Required Technical Skills
- Strong research and development experience in Machine Learning Data Science/Engineering
- 2 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;
- Deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, ideally has been through the entire lifecycle of an award winning security product, and must be passionate about IoT security
- Thorough knowledge of Machine Learning, Big Data Analytics, Statistics, etc
- Familiar with non-SQL databases like MongoDB, Elasticsearch etc.
- Hands-on experience with relevant technology stacks such as Python, Tensorflow, Spark, Java/Scala, etc
- Hands-on experience with Machine Learning tools and packages: Jupyter, ScikitLearn, H2O, Numpy, Pandas, TensorFlow, Keras, etc
- Hands-on experience using modern big data pipeline
- Good understanding of TCP/IP, Security, and 802.11 protocol stacks is a great plus.
- identify strong AI/ML use cases in IoT security, data security and adjacent domains
Qualifications and Experience
- PhD in Computer Science, Statistics or Engineering or with focus in ML/AI
- 8-10 years of work experience
- Proven hand-on technical experience
- Experience building software in the security domain will be a plus.
- Excellent verbal and written communication skills.