<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
We are looking for a skilled Network Engineer to join our team in Waller, Texas. In this role, you will design, implement, and maintain network systems to ensure seamless connectivity and optimal performance. This position requires expertise in network security and routing protocols to support critical operations within the Oil & Gas industry.<br><br>Responsibilities:<br>• Configure and manage Cisco routers to ensure efficient network operations.<br>• Implement and maintain Palo Alto firewalls to enhance network security.<br>• Administer Cisco ASA systems to provide robust protection against cyber threats.<br>• Monitor and optimize Border Gateway Protocol (BGP) configurations for reliable data routing.<br>• Troubleshoot and resolve network issues to minimize downtime and improve performance.<br>• Perform regular network assessments to identify vulnerabilities and recommend improvements.<br>• Collaborate with cross-functional teams to support network requirements for business operations.<br>• Document network configurations and procedures for future reference and compliance.<br>• Stay updated on industry trends and emerging technologies to apply best practices.<br>• Ensure network systems adhere to security standards and protocols.
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our dynamic team in Houston, Texas. This Contract to permanent position offers a unique opportunity to work on cutting-edge agentic software development, where autonomous AI agents play a critical role in building and optimizing healthcare technology solutions. The ideal candidate will be eager to contribute to innovative projects, leveraging AI techniques to transform traditional processes and drive automation within the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines and integrations using AI-based techniques and tools such as Azure Data Factory and Event Hub.<br>• Work collaboratively with cross-functional teams to identify automation opportunities and develop intelligent workflows.<br>• Develop and deploy autonomous agents to interact with data systems, monitor processes, and generate actionable insights.<br>• Build and support data warehousing and analytics platforms utilizing Azure Synapse, Data Lake, and Power BI.<br>• Enhance data processing and decision-making capabilities by integrating machine learning models and AI techniques.<br>• Ensure all solutions adhere to security standards and compliance requirements while being optimized for deployment in Azure environments.<br>• Participate actively in Agile ceremonies and contribute to the continuous improvement of engineering practices.<br>• Explore innovative approaches to agentic software development, pushing the boundaries of automation and AI implementation.
<p><strong>About the Role: </strong>We’re seeking an experienced <strong>Applications Architect</strong> to lead enterprise-level architecture and integration strategy across multiple business systems. This is a high-impact role where you’ll define technical roadmaps, establish standards, and deliver secure, scalable solutions on <strong>Microsoft Azure</strong>. You’ll collaborate with engineering, product, and data teams to design modern architectures that power ERP, manufacturing, field service, and customer-facing platforms. If you thrive on solving complex integration challenges and influencing technical direction, this role is for you.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Define and govern application architecture and technical standards.</li><li>Design unified integrations across ERP, manufacturing, and customer portals using APIs and event-driven patterns.</li><li>Architect cloud-native solutions leveraging Azure services (App Services, Functions, SQL/Cosmos DB, Service Bus, Event Grid, APIM).</li><li>Implement DevOps and Infrastructure as Code (Terraform/Bicep/ARM) for scalable deployments.</li><li>Embed security and compliance best practices (SOC 2, ISO 27001).</li><li>Mentor engineering teams and lead architecture/design/code reviews.</li></ul><p><br></p>
<p>We are seeking a Data Governance & Data Quality Platform Engineer responsible for the technical administration, integration, and optimization of enterprise data governance and data quality tools such as Atlan and DQ Labs / Monte Carlo. This role ensures these platforms are scalable, secure, integrated across enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting initiatives across the organization.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain Atlan for metadata management, lineage tracking, and governance workflows</li><li>Configure DQ Labs / data quality tools for data profiling, rule creation, and monitoring dashboards</li><li>Manage user roles, authentication, SSO, RBAC, and security settings across governance platforms</li></ul><p>2. Integration & Automation</p><ul><li>Develop and maintain integrations between data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure connectors for enterprise data and analytics platforms</li></ul><p>3. Performance, Scalability & Reliability</p><ul><li>Monitor system health and optimize performance across governance and data quality environments</li><li>Apply patches, updates, and troubleshoot technical issues as needed</li><li>Implement logging, alerting, and proactive monitoring across the platform ecosystem</li></ul><p>4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related issues</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting, feature requests, and roadmap alignment</li></ul><p>5. Security & Compliance</p><ul><li>Ensure platforms comply with security and data privacy standards (e.g., GDPR, CCPA)</li><li>Implement encryption, access controls, and audit logging</li><li>Support compliance reporting and risk assessments using platform governance features and data quality metrics</li></ul>
<p>We’re seeking a highly skilled <strong>Senior Network Engineer</strong> with deep expertise in <strong>wireless technologies</strong>, <strong>F5 load balancing</strong>, and <strong>Palo Alto firewalls</strong> to join our global infrastructure team. This role is ideal for a technical leader who thrives in complex environments, understands the business impact of network performance, and is passionate about securing and optimizing enterprise networks.</p><p>You’ll be responsible for designing, implementing, and maintaining high-performance wireless networks, managing advanced F5 configurations, and enforcing robust security policies through Palo Alto platforms—all while collaborating with global IT teams to support mission-critical systems.</p><p>🔧 Key Responsibilities</p><ul><li>Design, deploy, and maintain enterprise-grade <strong>wireless networks</strong> using <strong>Aruba</strong> and <strong>Cisco Meraki</strong>, ensuring coverage, performance, and security</li><li>Manage and optimize <strong>F5 LTM/GTM</strong> environments, including traffic steering, SSL offloading, and application delivery</li><li>Implement and maintain <strong>Palo Alto firewalls</strong>, including policy creation, threat prevention, and access control</li><li>Monitor and troubleshoot network performance using tools like <strong>SolarWinds</strong>, <strong>ThousandEyes</strong>, and <strong>F5 Analytics</strong></li><li>Ensure secure authentication via <strong>Cisco ISE</strong> (802.1x, RADIUS, TACACS) across wired and wireless infrastructure</li><li>Maintain proxy solutions such as <strong>Zscaler</strong>, <strong>McAfee</strong>, and <strong>Palo Alto GlobalProtect</strong></li><li>Collaborate with global IT teams to address security concerns and implement new systems</li><li>Document network architecture, cabling layouts, and operational procedures</li><li>Participate in on-call rotation and support a <strong>Follow the Sun</strong> operational model</li><li>Support telephony systems including <strong>Audiocodes SBC</strong> and <strong>Microsoft Teams</strong> integration</li><li>Ensure compliance with regulatory and security standards across network infrastructure</li></ul><p><br></p>
<p>Job Title: Data Scientist – AI/ML (Time‑Series Focus)</p><p>Location: Houston, TX</p><p>Work Arrangement: Onsite Monday–Thursday (mandatory)</p><p><br></p><p>Overview</p><p>We are seeking a Data Scientist with a strong AI/ML focus to support advanced analytics and predictive modeling initiatives. This role is ideal for a hands‑on data scientist who combines deep technical expertise in time‑series modeling with the ability to translate complex data insights into clear business value.</p><p>You will work with diverse datasets to design, train, and deploy scalable machine learning solutions, with opportunities to contribute to projects involving large language models (LLMs), deep learning, anomaly detection, and advanced analytics.</p><p><br></p><p>What You’ll Do</p><ul><li>Analyze structured and unstructured business data to uncover trends and insights</li><li>Design, develop, and deploy time‑series forecasting and anomaly detection models</li><li>Perform feature engineering to improve model performance and reliability</li><li>Build and optimize machine learning and deep learning models using Python</li><li>Collaborate with stakeholders to translate analytical findings into actionable business recommendations</li><li>Develop dashboards, visualizations, and presentations to clearly communicate results to non‑technical audiences</li><li>Contribute to AI initiatives involving LLMs, NLP, deep learning, or multi‑agent systems as opportunities arise</li></ul>
