A Cyber Security Engineer designs systems that protect the security of large databases, including databases with customer information and patient files. Examines client computer systems, identifies weak points in security, develops and implements new systems, monitors and responds to security issues.
Cybersecurity Solutions Architect / Engineer NikSoft Systems Corp. Eagan, MN Job Details Full-time 2 hours ago Qualifications AI models Security strategies development AI use case identification Cloud analytics services Databricks Data visualization software proficiency Azure Computer vision R AI platforms (beyond public GPTs) Managing data teams IT strategy formulation (System development task) Data governance SQL System design for system development Technical solutions implementation AWS Business intelligence tools Machine intelligence Product development Managing teams of scientists Technology management IT security architecture Model deployment Customer engagement Developing large-scale AI models Project delivery management Cloud solution engineering Implementing IT solutions
Fraud Detection Systems Full Job Description Job Location:
Raleigh, NC | Washington, DC | 100%
Remote Overview:
NikSoft Systems Corporation is a recognized Information Technology solutions provider. Founded in 1998 and based in Reston, Virginia, NikSoft is a CMMI Level 3 appraised company with an established reputation for excellence and on-time delivery with a consistently high customer satisfaction rating from its Federal Government and private consulting contracts. NikSoft is currently conducting a search for a Cybersecurity Solutions Architect/Engineer to add to its team in support of the United States Postal Service's Cybersecurity program.
Responsibilities:
In this role, you will apply expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels. Respond to ad hoc requests from stakeholders to investigate concerns. Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team's mission and reduce the time needed to deliver analytical insights. Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
Qualifications / Required skills:
Applicant must be an expert with data science and AI/ML concepts used for fraud detection. Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement - all developed over many years of client work delivering solutions. Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments. Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS). Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
Expert level knowledge of:
AI/ML Solution Architecture Data Science and Advanced Analytics Technology Strategy and Implementation Data Strategy and Governance MLOps and Model Lifecycle Management Azure Databricks Python, SQL, R Development Required Education and Experience Requirements Experience:
10+ years of overall cybersecurity architecture and/or engineering experience; 5+ years of experience in the cybersecurity domain related to fraud detection solution development.
Education:
•Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical enterprise experience. •Candidates must be able to obtain a Postal Sensitive Clearance (US Citizenship or Green Card required). Additionally, candidates must not have traveled outside of the USA for a combined period not to exceed 6 months within the last 3 years.•
