Robert Half is working with a client who is looking to hire a Machine Learning Engineer to help operationalize machine learning models as part of a growing enterprise AI program.

This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.

ResponsibilitiesDevelop and deploy machine learning models into production.

Build reusable ML pipelines for training, testing, deployment, and monitoring.

Partner with Data Scientists to productionize predictive models.

Develop APIs and services that expose machine learning capabilities to enterprise applications.

Monitor model performance, drift, and reliability.

Build automated testing and deployment processes for ML workloads.

Optimize model performance and infrastructure utilization.

Work with Data Engineering teams to establish reliable training and inference datasets.