Machine Learning Jobs in Richardson, TX

Design, train, and deploy reinforcement learning systems for high-impact decision tasks. Build and tune reward functions, run large-scale simulation-based experience collection, train neural policies on GPU clusters, and productionize RL solutions with attention to stability, safety, and ongoing improvement.

Design, develop, test, and support scalable AI-enabled applications and services. Implement LLM, Generative AI, and RAG capabilities, build RESTful APIs and microservices, automate CI/CD and testing, perform code reviews, troubleshoot production issues, and collaborate with product and architecture teams in Agile delivery.

Develop and deploy end-to-end ML solutions for smart manufacturing: build data pipelines, feature engineering, CV and LLM-based models (RAG/agentic workflows), prototype and productionize models, implement monitoring/retraining, and collaborate with cross-functional teams using modern development and CI/CD practices.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.

The ML Engineer will develop and deploy machine learning models, collaborate with teams, analyze datasets, and improve model performance.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.