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 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.
<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>