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3 results for Senior Machine Learning Engineer in Houston, TX
- Houston, TX
- onsite
- Temporary / Contract
- 70 - 77 USD / Hourly
- <p>We are seeking a Senior Network Engineer to lead the design, implementation, and support of complex enterprise network environments. This role is ideal for a highly experienced networking professional with a strong background in <strong>enterprise infrastructure, cloud networking</strong>, network security, and large-scale network modernization initiatives.</p><p>The Senior Network Engineer will work closely with infrastructure, <strong>cloud</strong>, cybersecurity, and application teams to deliver secure, scalable, and highly available network solutions across both on-premises and cloud environments.</p>
- 2026-08-25T00:00:00Z
- Houston, TX
- remote
- Temporary to Hire
- 47.5 - 55 USD / Hourly
- We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications.<br>• Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes.<br>• Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights.<br>• Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI.<br>• Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support.<br>• Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments.<br>• Contribute to API development, platform reliability, and performance optimization across data and application ecosystems.<br>• Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.
- 2026-08-26T00:00:00Z
- 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.
- 2026-08-27T00:00:00Z