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4 results for Rpa Engineer in Houston, 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

Artificial Intelligence (AI) Engineer- Fully Remote

Houston, TX
remote
Permanent / Full Time
70000 - 80000 USD / Yearly
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. Responsibilities: • Design, develop, and refine AI models that support computer vision and detection-focused use cases. • Build and optimize machine learning pipelines for training, validation, deployment, and performance monitoring. • Apply TensorFlow to create scalable models that deliver accurate and efficient results in production environments. • Partner with cross-functional stakeholders to translate business objectives into effective AI-driven solutions. • Evaluate model behavior using appropriate metrics and improve outcomes through testing, tuning, and iteration. • Prepare, clean, and structure image and related datasets to improve model quality and consistency. • Contribute to the integration of AI capabilities with tools and workflows that may include Microsoft Copilot-enabled environments. • Document technical approaches, model assumptions, and implementation details to support maintainability and knowledge sharing.
2026-07-29T00:00:00Z

Software Engineer

Spring, TX
onsite
Permanent / Full Time
60000 - 90000 USD / Yearly
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2026-07-23T00:00:00Z

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