Data-Core Systems Inc.

Product Designer

• Design intuitive dashboards, apps, and kiosks for drivers, toll operators, and administrators integrating AI outputs.
• Simplify complex AI insights (fraud alerts, traffic predictions, anomaly detection) into easy-to-understand visualizations.
• Ensure AI recommendations are explainable and transparent to avoid confusion or distrust.
• Define human-AI interaction patterns, including automation vs human approval and error recovery flows.
• Design voice/chatbot interfaces powered by AI for customer service at toll plazas.
• Design AI experiences promoting trust, fairness, inclusivity and ensure accessibility (visually impaired drivers, multi-language support).
• Build safeguards in UX for ethical AI use and avoid bias in alerts.
• Collaborate with AI Engineers, Data Scientists, Product Managers, and Business Analysts; conduct user research and usability testing.
• Create wireframes, prototypes, and mockups; test AI explainability features and refine designs based on user feedback and system performance.

AI UX Designer

Machine Learning Engineer

• Participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies.
• Design, develop, and deploy machine learning and deep learning models, particularly leveraging OpenAI APIs.
• Implement OCR pipelines using tools such as Tesseract, Adobe, AWS Textract, Google Vision, or Azure Form Recognizer to extract structured information from unstructured documents.
• Integrate OCR outputs with NLP/LLM models to build intelligent document understanding and knowledge extraction systems.
• Optimize model performance, accuracy, and scalability through data preprocessing, feature engineering, and hyperparameter tuning.
• Develop end-to-end ML pipelines from data ingestion and training to deployment and monitoring.
• Collaborate with product managers, data scientists, and engineers to translate business requirements into AI solutions.
• Stay up to date with latest advancements in generative AI, computer vision, and OCR technologies and evaluate their potential business applications.
• Ensure compliance with data privacy, security, and responsible AI practices in all deployed systems.
• Provide technical expertise and systems design for individual initiatives and work with SME consultants.

Machine Learning Engineer, OCR

Security Engineer

• Participate and effectively contribute to the design, development, and implementation of complex applications
• Provide technical expertise and systems design for individual initiatives
• Perform penetration testing on systems, networks, and applications to identify security weaknesses
• Analyze vulnerabilities and recommend mitigation methods
• Produce reports that include findings, risks, and conclusions
• Recommend security improvements and methods to mitigate security risks
• Collaborate with IT and other SME consultants to determine testing requirements and implement solutions
• Create and implement new penetration testing methods, scripts, and tools
• Manage Splunk data-collection infrastructure, including UF deployment, syslog servers, heavy forwarders, HTTP Event Collector, and Splunk Stream
• Re-architect or modify syslog aggregation for Splunk and expand log source collection
• Develop custom scripts for data collection or integration to non-standard products

Cybersecurity Engineer

Solutions Engineer

• Design end-to-end cloud architectures for toll transaction systems, payment gateways, and traffic data platforms
• Define cloud strategy (multi-cloud / hybrid cloud) aligned with business needs
• Select appropriate Azure/AWS/GCP services for compute, storage, networking, and security
• Create reference architectures, deployment patterns, and best practices
• Work with DevOps teams to implement Infrastructure-as-Code (Terraform, Bicep, ARM templates)
• Integrate toll systems with cloud-native services (databases, messaging queues, monitoring)
• Oversee containerization & orchestration (Kubernetes/AKS/EKS)
• Implement cloud security best practices and ensure compliance with government transport standards, PCI-DSS, and ISO 27001
• Design backup, disaster recovery, and business continuity strategies
• Ensure high availability and optimize cloud costs; set SLAs, SLOs, and SLIs with SRE teams
• Collaborate with business leaders; provide technical leadership and mentorship
• Evaluate new technologies and vendors for potential adoption

Cloud Solutions Architect

Architect

• Participate and effectively contribute to the design, architecture, and implementation of complex applications, often using new technologies.
• Provide technical expertise and systems design for individual initiatives.
• Perform all duties related to the application architecture life cycle including determining requirements, coding/building, unit testing, and implementation.
• Implement standard D365 Online architecture – forms, fields, views, dashboards, workflows, plugins.
• Write custom .NET code and plugin code for high-volume contact centers built on the Dynamics platform.
• Maintain custom code in Azure DevOps.
• Develop and maintain an easy-to-use Dynamics Web Portal for customer self-service, including the ability to capture real-time payments from customers.
• Build SOAP and REST APIs to integrate with 3rd party SaaS applications.
• Enhance ChatBOT experiences on the Azure platform and use Azure BOT framework to automate business processes.
• Utilize Power Automate and MS Flows to automate workflows.
• Collaborate with other SME consultants as part of the Consulting team.

Microsoft Dynamics CE Architect

Security Analyst

• Protect AI models used in toll fraud detection, license plate recognition, and traffic monitoring against adversarial attacks.
• Ensure integrity of training data and inference pipelines to prevent data poisoning or tampering.
• Monitor for model drift, bias, and manipulation risks.
• Identify and respond to threats targeting AI systems (e.g., adversarial inputs, prompt injection, model inversion).
• Develop detection mechanisms for misuse of AI APIs and tolling-related automation systems.
• Collaborate with SOC (Security Operations Center) teams to integrate AI-related alerts.
• Ensure AI systems comply with government regulations, privacy laws, and ethical AI guidelines.
• Implement data security controls for sensitive toll/payment/vehicle data used in AI models.
• Support audits for AI risk management and transparency.
• Work with data science, IT security, and DevOps teams to integrate security controls into AI lifecycle.
• Contribute to AI model governance frameworks and Zero Trust AI adoption.
• Train employees and toll operators on safe and ethical AI usage.
• Stay updated on emerging AI security risks (deepfakes, synthetic fraud, AI-enabled attacks).
• Research and test AI red-teaming methods to find vulnerabilities in toll-related AI models.
• Recommend new AI security tools and frameworks (e.g., adversarial ML defense libraries).

AI Security Analyst

Engineer

• Design, deploy, and maintain IoT devices and SCADA systems used in toll management, traffic monitoring, and roadway automation
• Install, configure, and maintain IoT sensors (RFID readers, ANPR cameras, weigh-in-motion systems, GPS trackers, traffic counters)
• Ensure connectivity and data flow from IoT devices to central toll management systems
• Integrate IoT devices with cloud platforms for analytics and predictive maintenance
• Configure and maintain SCADA systems for toll plazas, power supplies, barriers, gates, and traffic control systems
• Develop and maintain HMI/SCADA dashboards for real-time monitoring of roadside assets
• Ensure SCADA alarms, notifications, and event logs are accurate and actionable
• Integrate IoT/SCADA systems with central databases, ERP, and cloud-based analytics platforms
• Implement automation scripts and protocols (MQTT, Mod bus , OPC UA, REST APIs)
• Implement cybersecurity measures to protect IoT and SCADA systems
• Ensure redundancy and failover mechanisms for critical tolling operations
• Diagnose and resolve hardware/software issues in IoT devices and SCADA systems
• Perform preventive maintenance for toll plaza sensors, barriers, and control systems
• Collaborate with field engineers for on-site troubleshooting

IoT/SCADA Engineer

ServiceNow

• Architect and propose scalable ServiceNow solutions in alignment with client objectives and ServiceNow's product roadmap
• Implement and configure advanced ServiceNow Pro modules such as ITSM Pro, SAM Pro, HAM Pro, ITOM Discovery, and ITBM Pro
• Build custom applications, workflows, integrations, and scripts using JavaScript, Jelly, and ServiceNow’s APIs
• Lead the development and maintenance of the Automated Testing Framework (ATF) across enhancement and project efforts
• Collaborate with Product Owners and stakeholders to gather and translate requirements into Agile user stories and epics
• Participate in Agile ceremonies, contribute to sprint planning, and drive backlog grooming and delivery
• Interface with business and IT stakeholders to provide strategic guidance, status updates, and ensure solution adoption
• Prepare technical documentation and conduct knowledge transfer sessions with client teams