IBM (IBM Security) Software Engineer - Big Data in TAIPEI, Taiwan
The volume of security incidents and available threat data far exceed the capacity of even the most skilled security professional. Enter Watson for Cyber Security. It augments a security analyst's ability to identify and understand sophisticated threats, by tapping into unstructured data (ex. blogs, websites, research papers) and correlating it with local security offenses. IBM QRadar Advisor with Watson combines the cognitive capabilities of Watson and the industry leading QRadar Security Analytics Platform to uncover hidden threats and automate insights, revolutionizing the way security analysts work. Refer to details of IBM QRadar Advisor with Watson: https://www.ibm.com/bs-en/marketplace/cognitive-security-analytics IBM Security Team is seeking software engineers with experience in machine learning, data analysis and preferably Security threat intelligence to work on the IBM QRadar Advisor with Watson project. The candidate will work on a global team to continually improve the quality of information provided to customers using the IBM QRadar Advisor with Watson product. Positions require a degree in a technical discipline with demonstrated technical background, a demonstrated foundation in software, ability to work with a group of peers, leadership, problem solving, analytical thinking, multi-tasking, demonstrated written and verbal communication skills as well as a focus on customer success. Previous work or co-op experience on software projects is a plus. Our positions offer an excellent opportunity to develop technical skills with a multidisciplinary team of developers, designers and business professionals focused on the next generation of software. You will gain real-life experience with a corporate position that will not only impact IBM’s bottom line but also influence the future of software. For more information on our business unit and products, please visit our website at http://www-306.ibm.com/software/Main role and responsibility:
Work as a member of an Agile Scrum team, participate in ongoing Sprint activity to deliver on assigned Story work.
Respond to customer feedback on data quality, investigate and identify issues. Recommend and implement remediation.
Research and develop techniques for evaluating, testing and improving outputs from machine learning models.
Familiar with programming language - Python and analytic related modules
Familiar Linux system administration
Proven knowledge of unstructured data progressing
Basic understanding of machine learning and data modeling
Proven knowledge of network security and security threat intelligence