Job Description
As a Machine Learning Operations Engineer at Field AI, you will collaborate with data scientists and software engineers to design and build scalable machine learning infrastructure that supports the data generated by our global robot fleet. You will manage and optimize large-scale data pipelines that handle continuous streams of data from robots deployed worldwide, as well as develop and implement strategies for model versioning, reproducibility, and efficient retraining workflows, leveraging cloud infrastructure to support model training, deployment, and monitoring at scale.
You will assist with deploying machine learning models into production environments, working closely with the data science team to ensure smooth integration and performance, automate and streamline the monitoring and maintenance of machine learning models, and troubleshoot issues related to model deployment, performance, and system integration.
You will ensure seamless integration of machine learning models into production systems, optimizing for scalability, reliability, and performance, identify and resolve complex system performance issues related to model deployments, data pipelines, and cloud infrastructure, and maintain and optimize CI/CD pipelines for machine learning workflows to ensure continuous delivery of reliable models.
About Field AI
Field AI is transforming how robots interact with the real world by building risk-aware, reliable, and field-ready AI systems that address the most complex challenges.