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>