New social and digital channels are transforming how enterprises do business. However, this new technology brings new risks. Companies often lack adequate visibility to evaluate internal risk, let alone external cyber threats
Unauthorized accounts, compliance violations, brand impersonation, malware, spyware, account takeovers, and/or fake accounts may all go unnoticed, magnifying digital risks that can lead to brand damage, reputational harm, loss of revenue, massive fines & penalties, and litigation expense.
Experience of investigation of huge amount of data
Knowledge of Python, SQL, R
Must be able to work independently with minimum guidance and supervision
Middle Engineer or higher experience is preferred
Must possess excellent written and verbal skills in English
Experience with NLP will be a plus
Create Machine Learning pipelines and train models
Data investigation and analysis
Help design Production infrastructure for ML pipeline creation
Help test and tune performance of Production infrastructure for ML pipeline
GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. By leveraging Agile / Lean MVP methods, cutting-edge technologies, and an integrated approach to experience design and complex engineering, we empower global brands such as Microsoft, BMC, Coca Cola, Samsung, Physio Control, and Roku to develop the “next big thing” in their markets. GlobalLogic is headquartered in Silicon Valley and operates design and engineering centers around the world, where we are continuously recognized as a top innovator and employer by organizations like Zinnov and Glassdoor.
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Job posted on
22 December 2020