Top AI & Machine Learning Jobs in Austin, TX

Lead enterprise AI strategy and execution, design and deploy scalable AI/ML solutions, establish governance and ethical practices, drive research and LLM/NLP innovation, mentor teams, collaborate with cross-functional leaders, and present results to executive leadership.

Design, implement, and scale AI/ML systems and data pipelines for healthcare applications. Own model inference, deployment, monitoring, and reliability; collaborate with cross-functional teams to deliver production ML solutions using cloud and distributed computing.

Lead end-to-end AI/ML engineering for enterprise healthcare: design, develop, and productionize ML/LLM/GenAI models, mentor and recruit teams, establish scalable pipelines, run experiments, and collaborate with cross-functional leaders to deliver reliable, performant, and cost-efficient solutions.

Lead development of AI/ML solutions for healthcare using structured and unstructured data. Build and test deep learning and classical ML models, design experiments, perform statistical analysis and visualizations, ensure responsible AI compliance, produce documentation/patents/publications, and collaborate on MLOps pipelines and stakeholder integrations.

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

Design, develop, and productionize NLP/ML/AI solutions (LLMs, NLU/NLG/SLU) for high-traffic consumer systems. Lead end-to-end model lifecycle: data ingestion, feature engineering, modeling, deployment, optimization, monitoring, and POCs. Establish best practices, prioritize work, and collaborate on scalable, voice-based bot platforms built on LLM frameworks.