Top Hybrid Machine Learning Jobs in Austin, TX
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
Interact with top technologists in a fast-paced, AI-driven team building innovative software for the insurance industry. Responsibilities include working with Google Cloud, Kubernetes, and various services, coding in Kotlin, Python, Java, and JavaScript, and utilizing frameworks such as Dataflow, Cloud AI Platform, Spring, and React.
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