<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 a Software Engineer Team Lead to join a Texas-based organization in the credit services industry and play a key role in building and evolving business-critical applications. This contract-to-permanent opportunity is ideal for a senior technical leader who enjoys staying close to the code while guiding engineering direction, partnering with internal stakeholders, and supporting distributed teams. The position is primarily hands-on, with a strong emphasis on application architecture, modernization, and delivery across a Microsoft and Azure-focused environment.<br><br>Responsibilities:<br>• Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving.<br>• Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components.<br>• Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications.<br>• Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality.<br>• Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions.<br>• Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality.<br>• Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality.<br>• Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance.<br><br>Responsibilities:<br>• Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources.<br>• Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs.<br>• Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks.<br>• Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement.<br>• Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions.<br>• Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency.<br>• Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability.<br>• Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
We are looking for a Back End Developer to join a financial services team in Baytown, Texas. In this role, you will help build and support reliable web-based solutions that contribute to secure, efficient business operations. The position suits someone who can collaborate across technical teams while delivering clean, maintainable code in a fast-moving environment.<br><br>Responsibilities:<br>• Design, build, and maintain server-side applications that support core business functions within a financial services environment.<br>• Collaborate with developers, analysts, and stakeholders to translate business needs into scalable technical solutions.<br>• Write efficient, well-structured code and contribute to ongoing improvements in application performance and reliability.<br>• Support integration efforts between web interfaces and backend services to ensure smooth data flow across systems.<br>• Troubleshoot defects, identify root causes, and implement durable fixes to maintain application stability.<br>• Participate in code reviews, testing activities, and deployment preparation to uphold development standards.<br>• Document technical designs, development updates, and support procedures for shared team use.<br>• Contribute to system enhancements and technical updates as business and platform needs evolve.
We are looking for an experienced Software Engineer to join a team in Houston, Texas, building and enhancing business-critical applications with a strong focus on Microsoft Dynamics 365 and modern web technologies. This role is well suited for someone who enjoys designing scalable solutions, working across application layers, and translating operational needs into reliable software. The ideal candidate brings deep hands-on development experience, strong problem-solving ability, and a solid foundation in software engineering principles.<br><br>Responsibilities:<br>• Design, build, and maintain software solutions using C#, .NET, and ASP.NET to support core business and field service operations.<br>• Develop and customize Microsoft Dynamics 365 capabilities to align platform functionality with operational and user requirements.<br>• Create and optimize SQL queries, data models, and backend processes to ensure strong application performance and data integrity.<br>• Build and support ETL workflows that move and transform data between systems for reporting, integration, and business processes.<br>• Collaborate with cross-functional stakeholders to gather technical requirements, define solution approaches, and deliver high-quality enhancements.<br>• Develop responsive user-facing features with JavaScript and React.js to improve usability and streamline business workflows.<br>• Troubleshoot application defects, identify root causes, and implement durable fixes across integrated systems.<br>• Contribute to software architecture, coding standards, testing practices, and continuous improvement efforts throughout the development lifecycle.
We are looking for a Software Engineer to join a long-term contract opportunity supporting a secure research data platform in Houston, Texas. In this role, you will help create and enhance web-based tools that allow researchers to work with large-scale learning and behavioral data while maintaining strong privacy protections. This position blends full-stack development, data-focused problem solving, and close collaboration with technical and academic stakeholders. The ideal candidate brings strong TypeScript-based engineering experience and enjoys building reliable products that support meaningful research outcomes.<br><br>Responsibilities:<br>• Build and enhance end-to-end platform capabilities across user-facing applications and backend services, with a strong focus on scalable full-stack delivery.<br>• Create responsive interfaces using modern JavaScript frameworks and develop server-side functionality that supports secure and efficient data workflows.<br>• Design and integrate data models that connect information from multiple research sources into a cohesive platform architecture.<br>• Contribute to cloud-based infrastructure and automated delivery processes to improve system reliability, performance, and release quality.<br>• Work closely with engineers, product leaders, data specialists, and research partners to translate complex needs into practical software solutions.<br>• Improve code quality through thoughtful system design, peer reviews, testing practices, and clear technical documentation.<br>• Support platform stability by identifying performance issues, troubleshooting technical problems, and helping optimize large application codebases.<br>• Provide guidance to less experienced team members and contribute to a collaborative, high-accountability engineering culture.
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.