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5 results for Aiml Engineer in Pearland, TX
- Houston, TX
- onsite
- Permanent
- 150000 - 180000 USD / Yearly
- Artificial Intelligence (AI) Engineer,Computer Vision,TensorFlow,Machine Learning,Detection,Artificial Intelligence (A
- 2026-03-13T00:00:00Z
- Houston, TX
- onsite
- Temporary
- 40 - 50 USD / Hourly
- <p><strong>Overview</strong></p><p> We are seeking a <strong>Power BI Developer</strong> to serve as the technical owner of the organization’s Power BI and analytics environment. This role focuses on platform ownership, data modeling, governance, and maintaining a stable analytics ecosystem rather than primarily building reports. The ideal candidate is a hands-on technical leader with strong experience in <strong>Power BI, SQL, and ETL processes</strong>, who can support the analytics platform while collaborating with data engineers, business stakeholders, and cross-functional teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the technical lead and primary owner of the Power BI analytics environment.</li><li>Act as the first point of contact for platform issues and ensure ongoing system stability and performance.</li><li>Manage and maintain security, access controls, and governance across Power BI workspaces and datasets.</li><li>Monitor and support development and production analytics environments.</li><li>Partner with data engineering and IT teams to understand upstream data pipelines and ensure data is structured for reporting and analytics.</li><li>Design, build, and maintain semantic and data models within Power BI.</li><li>Develop and optimize complex <strong>SQL queries</strong> and <strong>ETL processes</strong> to support analytics and reporting needs.</li><li>Build scalable Power BI data models using <strong>star schema and dimensional modeling</strong> best practices.</li><li>Ensure consistent documentation, deployment standards, and version control across analytics assets.</li><li>Communicate effectively with business users and stakeholders to support reporting and data needs.</li></ul>
- 2026-03-09T00:00:00Z
- Houston, TX
- onsite
- Contract / Temporary to Hire
- 57 - 66 USD / Hourly
- We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps.<br><br>Responsibilities:<br>• Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data.<br>• Utilize PowerApps to create and maintain applications that support business intelligence initiatives.<br>• Collaborate with cross-functional teams to understand data requirements and implement solutions.<br>• Analyze complex datasets to identify trends and patterns that inform decision-making.<br>• Ensure the accuracy, reliability, and security of data within BI systems.<br>• Optimize data pipelines and workflows for improved performance and scalability.<br>• Provide technical expertise to support AI/ML integration into existing data processes.<br>• Stay updated on emerging technologies and best practices in data engineering and AI/ML.<br>• Troubleshoot and resolve issues related to data tools and processes.<br>• Document processes, workflows, and methodologies for future reference.
- 2026-03-11T00:00:00Z
- Houston, TX
- onsite
- Permanent
- 140000 - 175000 USD / Yearly
- <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>
- 2026-02-15T00:00:00Z
- Houston, TX
- onsite
- Permanent
- 140000 - 180000 USD / Yearly
- <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>
- 2026-02-17T00:00:00Z