<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>
<p><strong>Principal Data Scientist (AI/ML Focus)</strong></p><p><strong>Service Type:</strong> 42 Week Contract </p><p><strong>Worksite:</strong> Onsite, Monday–Thursday — Houston, TX</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Principal Scientist, Data</strong> with deep expertise in <strong>AI, Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI</strong>. This role requires a strong technical foundation, excellent communication skills, and the ability to translate complex methodologies into meaningful business outcomes.</p><p>The ideal candidate is proactive, innovative, and passionate about developing advanced AI-driven solutions using modern architectures including <strong>LLMs, deep learning models, multi-agent systems, and generative AI techniques</strong>.</p><p><strong>Requirements</strong></p><ul><li>Strong background in <strong>NLP, Computer Vision, and Generative AI</strong>.</li><li>Broad background in <strong>Artificial Intelligence</strong>.</li><li>Excellent verbal and written communication skills.</li></ul><p> <strong>Key Responsibilities</strong></p><ul><li>Develop, train, and optimize <strong>machine learning and deep learning models</strong>.</li><li>Build advanced AI solutions using <strong>LLMs, multi-agent systems, fine-tuning techniques, and inference optimization</strong>.</li><li>Transform complex data science methodologies into actionable insights.</li><li>Collaborate closely with stakeholders to develop high-value, data-driven solutions.</li><li>Create clear, compelling presentations, dashboards, and deliverables for non-technical audiences.</li><li>Drive full lifecycle AI/ML projects from ideation through deployment.</li></ul>
<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</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.
<p>Role Summary</p><p><br></p><p>We are seeking a Learning Technology & AI Solutions Consultant to serve as a strategic advisor and subject matter expert across learning technologies, analytics, and AI‑enabled learning solutions. This role owns the learning technology ecosystem and drives scalable, data‑informed, and innovative learning solutions that improve efficiency, effectiveness, and learner experience.</p><p>The ideal candidate blends deep learning‑technology expertise with practical experience applying AI responsibly to real business and learning challenges.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p>Learning Technology Strategy & Governance</p><ul><li>Provide strategic oversight for learning technologies across LMS, LXP, LRS, and authoring tools</li><li>Evaluate platform performance, adoption, and data quality to drive continuous improvement</li><li>Establish standards, documentation, and enablement resources for enterprise learning tools</li><li>Identify, measure, and mitigate risks associated with learning technologies in alignment with compliance policies</li></ul><p>AI‑Enabled Learning Solutions</p><ul><li>Translate emerging AI capabilities into practical, ethical, value‑driven learning solutions</li><li>Establish guardrails for responsible AI use, including data privacy, bias mitigation, and explainability</li><li>Reduce manual effort and accelerate delivery through automation and AI enablement</li></ul><p>Vendor & Platform Management</p><ul><li>Evaluate, select, and manage learning technology vendors</li><li>Influence platform roadmaps to align with enterprise learning needs</li><li>Optimize learning platform ecosystems to support scalability and reliability</li></ul><p>Consulting & Enablement</p><ul><li>Act as a consultative partner to Learning Enablement, Sales Enablement, Leadership Development, and other stakeholders</li><li>Recommend appropriate technologies and AI approaches based on business needs—not trends</li><li>Build learning team capability in learning technology fluency, analytics literacy, and AI awareness</li></ul>
We are looking for an entry-level Software Engineer to join our dynamic team in Spring, Texas. This role offers an exciting opportunity to contribute to the development and enhancement of cutting-edge software applications. You will work closely with a collaborative team to design, implement, and maintain innovative solutions.<br><br>Responsibilities:<br>• Develop and maintain software applications using C# and .NET frameworks.<br>• Collaborate with team members to design and implement user-friendly features using React.js and JavaScript.<br>• Troubleshoot and resolve software issues to ensure optimal functionality.<br>• Participate in code reviews to uphold high-quality standards.<br>• Assist in testing and debugging applications to ensure reliability and performance.<br>• Create and update technical documentation for software projects.<br>• Implement improvements to existing systems based on user feedback.<br>• Stay updated on emerging technologies and industry trends to continuously enhance skills.
<p>As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. </p><p><br></p><p><br></p><p>Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.</p><p>Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.</p><p>Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.</p><p>Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.</p><p>Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.</p><p>Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.</p><p>Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.</p><p><br></p><p><br></p><p><br></p>
<p><strong>Full Stack Python Developer</strong></p><p>We are looking for a talented <strong>Full Stack Python Developer</strong> to join our team in <strong>Houston, Texas</strong>. In this role, you will collaborate with technical and non-technical stakeholders to design and develop innovative applications that support global commercial and operational functions. This position offers an exciting opportunity to create impactful solutions that enhance decision-making and optimize processes.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain full-stack applications using <strong>Python</strong>, <strong>React</strong>, and <strong>C#</strong>.</li><li>Rapidly prototype and iterate on solutions based on user feedback.</li><li>Analyze business requirements and manage project lifecycles independently.</li><li>Collaborate with cross-functional teams to identify opportunities for innovation.</li><li>Optimize and maintain relational databases such as <strong>PostgreSQL</strong> or <strong>Oracle</strong>.</li><li>Develop APIs and integrate existing tools and platforms to enhance system capabilities.</li><li>Stay current with advancements in Python, React, and related technologies.</li><li>Provide technical expertise and support to commercial teams.</li><li>Troubleshoot and resolve issues within existing applications.</li></ul><p><br></p><p><br></p>
