Top Hybrid Machine Learning Engineer Jobs in Dallas-Fort Worth, TX

The role involves designing and implementing AI and machine learning solutions, transforming data into insights, and supporting client engagements. Responsibilities include model development, data analysis, and enhancing model performance using established technologies.

Lead production of machine learning applications, provide technical expertise, and mentor engineers to drive ML model delivery at scale.

The Senior Machine Learning Engineer will develop and optimize ML infrastructure, create data pipelines, and model orchestration ensuring data quality and performance monitoring.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Seeking a Senior Machine Learning Engineer to develop voice assistant solutions using ML and deep learning, optimizing for production environments. Responsibilities include designing ML pipelines, mentoring juniors, and collaborating with cross-functional teams.

The Staff AI Engineer will lead backend architecture for AI/ML features in payments, focus on LLMs, collaborate with teams, and enhance payment experiences.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.