Add your latest resume to match with open positions.
3 results for Senior Machine Learning Engineer in Houston, TX
- 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.<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.
- 2026-07-29T00:00:00Z
- Spring, TX
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows.<br><br>Responsibilities:<br>• Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information.<br>• Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use.<br>• Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments.<br>• Work with Apache Hadoop ecosystems to manage storage and support scalable data operations.<br>• Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness.<br>• Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.<br>• Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.<br>• Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
- 2026-08-13T00:00:00Z
- Spring, TX
- onsite
- Permanent / Full Time
- 60000 - 90000 USD / Yearly
- Software Engineer,Software Engineer,,Software Engineer,Software Engineer,,,Softw
- 2026-07-23T00:00:00Z