Add your latest resume to match with open positions.
2 results for Senior Machine Learning Engineer in Houston, TX
- Houston, Texas
- onsite
- Temporary / Contract
- 140000 - 170000 USD / Yearly
- <p>We are seeking a <strong>Full Stack AI Engineer</strong> to join a growing team focused on building enterprise-grade applications powered by data, analytics, and artificial intelligence. This role combines software engineering, data engineering, and AI development, giving you the opportunity to design and develop scalable solutions that solve real business problems.</p><p>The ideal candidate is a strong full-stack developer with a backend focus who can build APIs, integrate enterprise systems, develop data-driven applications, and bring AI-powered features into production. You'll work closely with product owners, data engineers, and business stakeholders to transform complex requirements into intuitive applications, automated workflows, and intelligent solutions. This position offers the opportunity to work with modern technologies including Generative AI, LLMs, cloud platforms, and advanced data architectures while maintaining ownership throughout the full software development lifecycle.</p>
- 2026-09-03T00:00:00Z
- Houston, Texas
- 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.
- 2026-09-17T00:00:00Z