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3 results for Engineer in The Woodlands, TX

AI/Ml Engineer

Houston, TX
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
Position Summary:We are seeking an AI/ML Engineer with a focus on Generative AI to design, develop, and deploy advanced AI solutions that drive business innovation. This role will leverage large language models (LLMs), machine learning, and cloud-based AI technologies to build intelligent applications, automate workflows, and enhance data-driven decision-making. Key Responsibilities:<ul><li>Design, develop, and deploy Generative AI solutions using LLMs such as OpenAI, Claude, Gemini, or open-source models.</li><li>Build and optimize AI/ML pipelines for model training, fine-tuning, evaluation, and inference.</li><li>Develop Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.</li><li>Collaborate with software engineers, data engineers, and business stakeholders to deliver AI-powered applications.</li><li>Implement prompt engineering strategies and model optimization techniques to improve performance and accuracy.</li><li>Monitor, troubleshoot, and enhance AI models in production environments.</li><li>Ensure AI solutions adhere to security, governance, and responsible AI best practices.</li></ul>
2026-07-17T00:00:00Z

Business Intelligence (BI) Engineer

Spring, TX
onsite
Permanent / Full Time
110000 - 135000 USD / Yearly
We are looking for a Business Intelligence (BI) Engineer to design and enhance reporting solutions that turn complex operational and commercial data into clear business insights. Based in The Woodlands, Texas, this role supports decision-making across the organization by building scalable dashboards, improving data visibility, and translating stakeholder needs into effective analytics products. The ideal candidate combines strong Power BI expertise with a practical understanding of business intelligence architecture, data modeling, and performance optimization. Responsibilities: • Build and maintain interactive Power BI dashboards and reports that provide timely, meaningful visibility into key business metrics. • Partner with business teams to gather reporting needs, define success measures, and convert requirements into well-structured analytics solutions. • Develop robust data models and DAX calculations that improve reporting accuracy, usability, and analytical depth. • Optimize BI assets for performance, reliability, and ease of use across a range of audiences and business functions. • Work with data from multiple systems to create consistent, trusted datasets that support enterprise reporting. • Troubleshoot reporting issues, validate data outputs, and resolve discrepancies to maintain confidence in delivered insights. • Document report logic, data definitions, and development standards to support long-term scalability and knowledge sharing. • Contribute to enhancements involving business intelligence platforms or reporting processes when operational changes require updated analytics support.
2026-06-24T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
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.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.🔧 Core Responsibilities<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>
2026-07-14T00:00:00Z