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

Lead a team of Data Scientists and Machine Learning Engineers to design and deploy machine learning solutions, enhancing customer and agent experiences. Oversee the full data science lifecycle and mentor team members, ensuring best practices in MLOps and model validation.

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

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.

The Senior Machine Learning Engineer will develop high-performance services, innovate ad technologies, and collaborate with teams to optimize ad campaigns through AI and ML solutions.

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

The Research Engineer will develop online mapping algorithms, collaborate on datasets, and contribute to ML solutions for autonomous vehicles.

The Senior AI Software Engineer will design and build enterprise AI applications using LLM architectures and Azure services, focusing on scalable systems and collaboration.

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.