We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.<br><br>Responsibilities:<br>• Build, improve, and verify machine learning algorithms that support product and application objectives.<br>• Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.<br>• Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.<br>• Contribute to prototype development and exploratory initiatives that help shape future technical solutions.<br>• Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.<br>• Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.<br>• Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
We are looking for an Application Security Engineer to strengthen secure software delivery and partner closely with engineering teams in Reading, Pennsylvania. This role focuses on embedding security throughout the software lifecycle, from architecture and development through deployment and ongoing operations. The ideal candidate brings deep application security expertise, a collaborative mindset, and the ability to translate security requirements into practical engineering guidance.<br><br>Responsibilities:<br>• Partner with software engineering and cybersecurity teams to build security into application design, coding practices, release processes, and production support.<br>• Perform in-depth security evaluations through code analysis, threat modeling, penetration testing, and vulnerability assessments to uncover and prioritize risk.<br>• Establish and uphold secure development standards, reusable patterns, and technical guidance that improve consistency across teams.<br>• Administer and enhance security controls within CI/CD workflows, including code scanning, infrastructure-as-code checks, and container security tooling.<br>• Contribute to architecture assessments for cloud-based systems, microservices, and containerized applications to ensure resilient and secure designs.<br>• Evaluate application risks and support formal security reviews to guide mitigation planning and informed technical decisions.<br>• Verify that application security activities align with applicable compliance obligations and recognized industry frameworks.<br>• Create and deliver training sessions that help developers strengthen secure coding habits and increase security awareness.<br>• Track emerging attack techniques and threat intelligence, then apply those insights to improve preventive and detective controls.<br>• Support the monitoring, investigation, and remediation of application security issues, while coordinating effectively with external vendors and consultants as needed.