<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer 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 NLP, LLMs, and Generative AI</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>
We are looking for an Application Support Engineer to support critical plant-focused software environments for a manufacturing organization in Houston, Texas. This Long-term Contract position is ideal for someone who combines hands-on application support expertise with strong coordination skills to keep systems stable, current, and responsive to business needs. The role will serve as a key point of ownership for assigned applications, helping manage incidents, oversee patching activities, and guide enhancement efforts in partnership with vendors and internal stakeholders.<br><br>Responsibilities:<br>• Serve as the primary owner for assigned manufacturing and quality-related applications, ensuring reliable day-to-day performance and issue resolution.<br>• Manage support requests across multiple levels of complexity, triaging incidents, tracking progress, and escalating specialized problems to external application vendors when needed.<br>• Coordinate application updates, maintenance activities, and patch deployments to keep platforms secure, compliant, and operational.<br>• Lead assigned application initiatives using structured project delivery methods, with the ability to work in both waterfall and agile-style environments.<br>• Partner with business users and technical teams to evaluate support trends, identify recurring issues, and improve overall application service quality.<br>• Oversee change activities related to application enhancements, configuration adjustments, and operational improvements while maintaining clear documentation.<br>• Provide support for plant and quality systems, including applications such as Leakdoss and Limb systems, based on business priorities.<br>• Use ServiceNow and related ITSM tools to manage ticket workflows, monitor support activity, and maintain accurate records of incidents, requests, and changes.
<p>We are seeking an experienced Python Data Engineer to join our growing data team. This role will focus on building and supporting scalable data solutions that ingest, process, and deliver real-time and near real-time data across the organization. The ideal candidate will have experience working in financial services, energy, or oil & gas environments, where timely, accurate data is critical to business operations and decision-making.</p><p>You will partner closely with business leaders, analysts, data scientists, and application teams to develop robust data pipelines, integrate external and internal data sources, and enhance enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable Python-based ETL and data integration solutions.</li><li>Build reusable data acquisition components to consume APIs, market feeds, operational systems, IoT devices, and third-party data sources.</li><li>Develop and support real-time and near real-time data pipelines for business-critical reporting and analytics.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Enhance and maintain enterprise data engineering frameworks and standards.</li><li>Ensure data quality, reliability, performance, and governance across the data ecosystem.</li><li>Support Oracle databases, PL/SQL development, and data warehouse integrations.</li><li>Partner with global teams to deliver high-quality data solutions and support ongoing business initiatives.</li><li>Participate in architecture discussions and contribute to best practices around data engineering and software development.</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience in financial services, banking, asset management, energy, commodities, or oil & gas industries.</li><li>Experience supporting operational, market, production, pricing, risk, or financial data platforms.</li><li>Knowledge of cloud-based data platforms and modern data architecture.</li><li>Experience with data warehousing, data lakes, and enterprise reporting solutions.</li></ul><p>Technical Environment</p><p>Python, Oracle, PL/SQL, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, ETL, Data Pipelines, Real-Time Data Processing, Data Warehousing, Git, Agile, Cloud Technologies</p><p>Ideal Candidate: A hands-on Data Engineer with strong Python development skills, experience working with real-time business data, and a background supporting data platforms in financial services, energy, or oil & gas organizations.</p><p><br></p>
<p>Join a growing technology team focused on building modern analytics and business applications powered by real-time and historical operational, financial, and enterprise data. This role offers the opportunity to work directly with business stakeholders, analysts, operations teams, and leadership to develop scalable solutions that support critical business decisions.</p><p>Responsibilities</p><ul><li>Design, develop, and support scalable enterprise applications.</li><li>Build analytics, reporting, and data-driven platforms.</li><li>Partner with business users to gather requirements and deliver innovative solutions.</li><li>Develop and maintain APIs, integrations, and internal applications.</li><li>Turn user feedback into enhancements and bug fixes.</li><li>Write clean, maintainable, and well-tested code.</li><li>Support and train users on internally developed systems.</li></ul><p><br></p><p><br></p><p><br></p><p><br></p>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
We are looking for a Software Developer to join a contract opportunity in Houston, Texas. This role is ideal for a hands-on, detail-oriented individual who can build Microsoft Copilot and Power Platform solutions while also advising stakeholders on practical, scalable ways to improve the platform landscape. The position offers broad exposure across application development, platform administration, and business-facing collaboration in a fast-moving enterprise environment.<br><br>Responsibilities:<br>• Create, maintain, and improve Microsoft Copilot agents along with Power Platform solutions that support business operations.<br>• Design and extend both model-driven and canvas applications to meet user needs and streamline internal processes.<br>• Connect solutions across Microsoft tools and related enterprise platforms, including ServiceNow and Dynamics environments.<br>• Evaluate the current Power Platform setup, identify areas for better governance, and recommend improvements for organization and long-term scalability.<br>• Analyze existing legacy applications and advise whether they should be retired, redesigned, or transitioned into a more structured environment.<br>• Collaborate with adjacent teams such as BI and Microsoft 365 to align platform capabilities and support shared objectives.<br>• Develop interactive, workflow-based applications that collect information, guide user activity, and produce meaningful business outputs.<br>• Partner directly with stakeholders in departments such as Legal, HR, and commercial functions to translate business goals into effective technical solutions.<br>• Promote platform adoption by educating users on capabilities, recommended practices, and appropriate use cases across the organization.<br>• Contribute to enterprise application initiatives, including Dynamics 365-related modernization or migration efforts when needed.
We are looking for a Senior Systems Engineer to support and enhance the technology environment for employees in Houston, Texas. This position blends advanced infrastructure administration with responsive end-user support, requiring someone who can troubleshoot urgent technical issues while also identifying opportunities to strengthen systems, security, and reliability. The ideal candidate brings a service-oriented mindset, strong technical judgment, and the ability to deliver a high-quality experience for staff at all levels, including executive leadership.<br><br>Responsibilities:<br>• Provide hands-on technical assistance for employees, addressing issues involving workstations, applications, Microsoft 365, network access, and connected devices.<br>• Act as the highest point of escalation for challenging support requests, ensuring timely resolution and maintaining accurate service documentation.<br>• Oversee employee technology setup and separation activities, including account creation, device configuration, access changes, and equipment collection.<br>• Administer the Microsoft 365 environment, including Exchange Online, Teams, SharePoint, OneDrive, Intune, Entra ID, Defender, and Purview, while managing licenses and access policies.<br>• Maintain core Windows Server services such as Active Directory, Group Policy, remote access components, and file-sharing infrastructure.<br>• Support and optimize the Nutanix platform by monitoring cluster performance, availability, and resource utilization across the environment.<br>• Manage Cisco Meraki networking solutions, including security appliances, switching, wireless infrastructure, and SD-WAN settings through the centralized dashboard.<br>• Strengthen cybersecurity operations by supporting endpoint protection, threat monitoring, audit readiness, access reviews, and IT risk documentation.<br>• Ensure conference room technology remains dependable by administering Microsoft Teams Rooms, maintaining Logitech collaboration hardware, and performing proactive room readiness checks.<br>• Create and refine technical standards, operational runbooks, patching routines, backup validation, disaster recovery documentation, and controlled infrastructure changes.
We are looking for an Artificial Intelligence (AI) Engineer to design and enhance intelligent solutions with a strong emphasis on computer vision and machine learning. This role focuses on building practical AI capabilities that support detection-driven applications while working collaboratively in a fully remote environment. The position is based in Houston, Texas, and is ideal for someone who combines technical depth with the ability to turn complex models into reliable business solutions.<br><br>Responsibilities:<br>• Design, develop, and refine AI models that support computer vision and detection-focused use cases.<br>• Build and optimize machine learning pipelines for training, validation, deployment, and performance monitoring.<br>• Apply TensorFlow to create scalable models that deliver accurate and efficient results in production environments.<br>• Partner with cross-functional stakeholders to translate business objectives into effective AI-driven solutions.<br>• Evaluate model behavior using appropriate metrics and improve outcomes through testing, tuning, and iteration.<br>• Prepare, clean, and structure image and related datasets to improve model quality and consistency.<br>• Contribute to the integration of AI capabilities with tools and workflows that may include Microsoft Copilot-enabled environments.<br>• Document technical approaches, model assumptions, and implementation details to support maintainability and knowledge sharing.
We are looking for an experienced IT Cloud Architect to guide enterprise infrastructure strategy and shape scalable cloud solutions for a business operating in Houston, Texas. This Long-term Contract position will focus on strengthening hybrid and cloud environments, improving reliability, and advancing automation across core platforms. The role partners with technical teams, vendors, and business stakeholders to deliver secure, resilient architecture that supports operational goals and future growth.<br><br>Responsibilities:<br>• Create and evolve the organization’s cloud architecture strategy, with a strong emphasis on Microsoft Azure and the modernization of existing infrastructure and applications.<br>• Lead the design of identity and access solutions across hybrid environments using Microsoft Entra ID and related technologies to enable secure, efficient user access.<br>• Act as the top technical escalation resource for complex cloud, infrastructure, and platform issues, driving durable resolutions and service stability.<br>• Define architectural standards, reference models, and technical documentation that promote consistency, governance, and effective knowledge sharing across IT teams.<br>• Direct technical planning and execution for cloud and infrastructure initiatives, ensuring alignment with security expectations, operational support needs, and business priorities.<br>• Advance automation practices through PowerShell, Infrastructure as Code, and cloud-native tooling to streamline deployments and reduce manual risk.<br>• Oversee architecture and governance for Microsoft 365 services, including Exchange Online, SharePoint Online, Teams, and Entra ID, to support collaboration and productivity.<br>• Partner with security and compliance teams to build cloud and hybrid solutions that meet regulatory, governance, and cybersecurity requirements.<br>• Design and maintain business continuity, backup, and disaster recovery approaches that protect essential services and support recovery objectives.<br>• Monitor and improve platform performance, scalability, resilience, and cost efficiency while advising IT leadership on emerging technologies and architectural direction.
<p>We are seeking a strategic cloud technology leader to define and execute the enterprise cloud strategy across infrastructure, applications, data platforms, and cloud-native development. This role will lead cloud architecture, engineering, operations, governance, and modernization efforts while establishing the processes, standards, and operating models that enable teams to build, deploy, manage, and analyze solutions in AWS.</p><p>The ideal candidate combines executive leadership experience with deep expertise in cloud platforms, software engineering, DevOps, data services, and large-scale transformation initiatives.</p><p>Responsibilities</p><ul><li>Develop and execute a long-term cloud strategy aligned with business and technology objectives.</li><li>Lead cloud architecture, platform engineering, operations, and governance across enterprise AWS environments.</li><li>Establish standards and processes that support infrastructure, application development, data engineering, analytics, and cloud-native solution delivery.</li><li>Drive cloud adoption, application modernization, automation, CI/CD, platform engineering, and operational excellence initiatives.</li><li>Partner with Application Development, Data & Analytics, Cybersecurity, and Enterprise Architecture leaders to ensure solutions are secure, scalable, and aligned with business needs.</li><li>Champion DevOps, Infrastructure-as-Code, Site Reliability Engineering (SRE), and self-service platform capabilities that improve delivery speed and reliability.</li><li>Implement governance for cloud security, compliance, FinOps, risk management, and data management practices.</li><li>Evaluate emerging cloud technologies and recommend solutions that support current and future business capabilities.</li><li>Build and lead high-performing teams of architects, engineers, DevOps professionals, and cloud platform specialists.</li><li>Define KPIs, dashboards, and executive reporting to measure platform health, adoption, service quality, and business value.</li><li>Manage strategic vendor relationships and support budgeting, forecasting, and investment planning activities.</li></ul><p><br></p><p><br></p><p><br></p>