<p>Overview</p><p>We are seeking an AI / Machine Learning Engineer to design, build, deploy, and govern scalable ML and AI solutions across the enterprise. This role combines hands‑on model development with strong ownership of AI governance, risk management, and responsible AI practices to ensure models are explainable, secure, compliant, and production‑ready.</p><p>eKey Responsibilities</p><ul><li>Design, develop, train, and deploy machine learning and AI models for structured and unstructured data use cases</li><li>Build end‑to‑end ML pipelines including data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Implement MLOps practices for versioning, CI/CD, model lifecycle management, and automated retraining</li><li>Collaborate with data engineers, product managers, and business stakeholders to translate requirements into AI solutions</li><li>Monitor model performance, drift, bias, and data quality in production environments</li><li>Optimize model accuracy, scalability, latency, and cost efficiency</li><li>Develop reusable ML components, libraries, and frameworks to accelerate delivery</li></ul><p>AI Governance & Risk Responsibilities</p><ul><li>Embed AI governance controls across the model lifecycle (design, development, testing, deployment, decommissioning)</li><li>Ensure models meet enterprise standards for explainability, transparency, fairness, and auditability</li><li>Implement model documentation, lineage, and traceability (data sources, features, assumptions, limitations)</li><li>Perform model validation activities including bias testing, robustness testing, and performance benchmarking</li><li>Support regulatory, compliance, and legal requirements (e.g., model risk management, data privacy, internal audits)</li><li>Partner with security teams to ensure secure model development and protection of sensitive data</li><li>Contribute to responsible AI policies, standards, and best practices across the organization</li></ul>
<p>Overview</p><p>We are seeking an AI / Machine Learning Engineer to design, build, deploy, and govern scalable ML and AI solutions across the enterprise. This role combines hands‑on model development with strong ownership of AI governance, risk management, and responsible AI practices to ensure models are explainable, secure, compliant, and production‑ready.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, train, and deploy machine learning and AI models for structured and unstructured data use cases</li><li>Build end‑to‑end ML pipelines including data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Implement MLOps practices for versioning, CI/CD, model lifecycle management, and automated retraining</li><li>Collaborate with data engineers, product managers, and business stakeholders to translate requirements into AI solutions</li><li>Monitor model performance, drift, bias, and data quality in production environments</li><li>Optimize model accuracy, scalability, latency, and cost efficiency</li><li>Develop reusable ML components, libraries, and frameworks to accelerate delivery</li></ul><p>AI Governance & Risk Responsibilities</p><ul><li>Embed AI governance controls across the model lifecycle (design, development, testing, deployment, decommissioning)</li><li>Ensure models meet enterprise standards for explainability, transparency, fairness, and auditability</li><li>Implement model documentation, lineage, and traceability (data sources, features, assumptions, limitations)</li><li>Perform model validation activities including bias testing, robustness testing, and performance benchmarking</li><li>Support regulatory, compliance, and legal requirements (e.g., model risk management, data privacy, internal audits)</li><li>Partner with security teams to ensure secure model development and protection of sensitive data</li><li>Contribute to responsible AI policies, standards, and best practices across the organization</li></ul>
<p>The AI/ML Solutions Architect will lead the design, development, and deployment of advanced AI/ML solutions. This role combines deep technical expertise with strategic thinking to ensure AI/ML initiatives are successfully integrated into business operations. You will work closely with data scientists, engineers, and stakeholders to create architectures that maximize performance, scalability, and reliability.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring.</li><li>Collaborate with stakeholders to define AI/ML solution requirements aligned with business objectives.</li><li>Provide technical leadership and guidance to teams implementing AI/ML models and systems.</li><li>Develop scalable and secure solutions using cloud platforms (AWS, Azure, GCP) and MLOps best practices.</li><li>Ensure seamless integration of AI/ML models into existing IT systems and workflows.</li><li>Conduct feasibility studies, prototyping, and performance evaluations for new technologies and frameworks.</li><li>Stay updated on advancements in AI/ML and recommend innovative solutions to meet emerging needs.</li><li>Document technical designs, workflows, and implementation plans to ensure clarity and reproducibil</li></ul><p><br></p>
We are looking for an experienced AML Investigator Analyst to join our team in Fort Lauderdale, Florida. In this role, you will play a critical part in identifying, investigating, and escalating potential financial crimes while ensuring compliance with banking regulations. This position is ideal for someone with strong attention to detail, exceptional analytical skills, and a thorough understanding of anti-money laundering practices.<br><br>Responsibilities:<br>• Conduct comprehensive investigations of alerts and cases related to suspected money laundering, fraud, and other financial crimes.<br>• Analyze customer transactions, account behaviors, and relationships to detect unusual patterns and activities.<br>• Draft detailed case narratives and prepare Suspicious Activity Reports (SARs) in compliance with regulatory standards.<br>• Escalate complex or high-risk findings in alignment with internal policies and applicable regulations.<br>• Maintain accurate and thorough documentation within case management systems.<br>• Collaborate with compliance, risk management, and other internal teams to support investigative efforts and special projects.<br>• Provide case support and documentation during regulatory exams, audits, and independent testing processes.<br>• Identify trends and potential gaps in transaction monitoring systems or detection processes.<br>• Contribute to process improvement initiatives aimed at enhancing investigative workflows and monitoring systems.
<p><strong>DevOps Engineer</strong></p><p>We are seeking a motivated <strong>DevOps Engineer</strong> to enhance automation, streamline deployments, and support modern cloud-native infrastructure. This role is ideal for someone who enjoys improving system reliability, optimizing pipelines, and enabling faster development workflows.</p><p><strong>Responsibilities</strong></p><ul><li>Build, maintain, and optimize CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins</li><li>Support containerized environments using Docker and Kubernetes</li><li>Manage infrastructure automation using Terraform, Helm, Ansible, or Bicep</li><li>Monitor application performance, system uptime, and deployment health</li><li>Troubleshoot build failures, pipeline issues, infrastructure drift, and deployment errors</li><li>Manage configuration management across multiple environments</li><li>Collaborate with developers and cloud engineers during releases and application migrations</li><li>Implement logging, monitoring, and alerting solutions</li><li>Maintain documentation for deployments, pipelines, and CI/CD procedures</li></ul><p><br></p>
<p>We are seeking a highly experienced <strong>Microsoft Security Framework Engineer</strong> to lead the full activation and optimization of the Microsoft Security stack within our Microsoft 365 E5 environment. This is a critical contract role focused on designing, configuring, and deploying a comprehensive security framework to protect endpoints, identities, cloud applications, email, and sensitive Protected Health Information (PHI).</p><p>The successful candidate will serve as the subject matter expert responsible for implementing Microsoft Defender and Purview capabilities from the ground up, ensuring alignment with industry best practices and regulatory requirements.</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the end-to-end design, configuration, and deployment of the full Microsoft Security stack, including:</li><li>Microsoft Defender for Endpoint</li><li>Microsoft Defender for Office 365 Plan 2</li><li>Microsoft Defender for Identity</li><li>Microsoft Defender for Cloud Apps</li><li>Entra ID Protection</li><li>Microsoft Purview (Data Loss Prevention (DLP) and Sensitivity Labels for PHI)</li><li>Architect and implement a cohesive Microsoft security framework that integrates all components for maximum protection and visibility</li><li>Configure advanced threat protection, automated investigation and response (AIR), attack surface reduction rules, and device control policies</li><li>Design and deploy Purview DLP policies and sensitivity labeling strategies tailored for PHI protection and regulatory compliance (HIPAA, etc.)</li><li>Implement Entra ID Protection policies, Conditional Access, and identity threat detection capabilities</li><li>Conduct security assessments, gap analysis, and provide recommendations to strengthen the overall security posture</li><li>Collaborate with internal IT, security, and compliance teams to ensure successful adoption and operational handover</li><li>Develop documentation, runbooks, and knowledge transfer materials for ongoing management and maintenance</li><li>Provide expert guidance on Microsoft 365 E5 security licensing, features, and roadmap</li></ul><p><br></p>
<p>Join our team as a Software Engineer Lead and play a pivotal role in modernizing our intranet application, moving from legacy systems to the latest 2025 Microsoft Server environment. You’ll lead the conversion effort for web-hosted business applications using C# and .NET technologies, directly supporting a critical ERP upgrade. This is a high-impact opportunity to ensure system stability, technical excellence, and to shape future IT capabilities at a leading organization.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead and execute the migration of the intranet application from legacy .NET/Server 2020 to .NET/Server 2025, ensuring performance and reliability.</li><li>Collaborate with stakeholders and technical teams to scope, design, and deliver the application conversion and ERP code base upgrade.</li><li>Develop scalable and maintainable C# .NET solutions, adhering to industry best practices for code modernization, testing, and deployment.</li><li>Manage hosted server environments, optimize application performance, and ensure robust integration with ERP systems.</li><li>Build and oversee DevOps pipelines for CI/CD and automated testing to ensure seamless upgrades and ongoing system health.</li><li>Mentor software team members, foster collaboration, and help drive ongoing digital transformation and technical upskilling.</li></ul><p><br></p>
<p>As a Senior Software Developer, you will play a critical role in designing, developing, and maintaining robust software solutions. You will collaborate with cross-functional teams, mentor junior developers, and contribute to the technical direction of projects. Your expertise will ensure the delivery of scalable, secure, and maintainable systems that align with business objectives.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead the design and development of software applications, ensuring adherence to best practices and coding standards.</li><li>Collaborate with product managers, architects, and stakeholders to gather requirements and define technical specifications.</li><li>Develop scalable and maintainable code using modern programming languages and frameworks.</li><li>Conduct code reviews, provide constructive feedback, and mentor junior team members.</li><li>Troubleshoot and resolve complex software issues, ensuring minimal downtime and impact.</li><li>Optimize application performance, scalability, and security through continuous improvement.</li><li>Contribute to the design and implementation of APIs, microservices, and distributed systems.</li><li>Stay updated on emerging technologies and recommend innovative solutions to enhance development practices.</li><li>Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.</li><li>Ensure proper documentation of code, processes, and technical decisions.</li></ul><p><br></p>