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3 results for Aiml Engineer in Pearland, 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

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

Azure Systems Engineer

Houston, TX
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for an Azure Systems Engineer to support and enhance a hybrid infrastructure environment in Houston, Texas. This role focuses on maintaining secure, reliable identity and server platforms while helping users and business teams stay productive. The ideal candidate brings strong experience across Microsoft technologies and can manage core systems with a proactive, service-oriented approach. Responsibilities: • Administer and optimize Active Directory and Azure Active Directory environments to support secure access and identity management. • Maintain, troubleshoot, and improve Microsoft Windows Server platforms to ensure strong performance, availability, and system health. • Support Citrix-based solutions by resolving technical issues, monitoring stability, and enhancing the end-user experience. • Manage Microsoft Exchange environments, including configuration, maintenance, and issue resolution for messaging services. • Implement system updates, patches, and configuration changes while following operational and security standards. • Investigate infrastructure incidents, identify root causes, and deliver timely resolutions to minimize service disruptions. • Collaborate with cross-functional teams on infrastructure improvements, platform upgrades, and environment standardization. • Create and maintain clear technical documentation for system configurations, procedures, and support activities.
2026-07-08T00:00:00Z