Operations Engineer Data & AI

This ML Ops Engineer role focuses on building and maintaining the infrastructure for machine learning model deployment and monitoring. The position involves automating ML pipelines, managing model lifecycle, and ensuring production reliability.

This Mid/Senior Software Development Engineer role focuses on ML Ops for US Federal clients, building and maintaining machine learning pipelines and infrastructure. The engineer will work on deploying, monitoring, and optimizing ML models in a secure federal environment.

This role builds and maintains the machine learning infrastructure for CoeFont's voice AI products. The engineer manages model deployment pipelines, monitoring, and scaling of ML systems to ensure reliable and efficient operation.

This Software Development Engineer role focuses on ML Ops for US Federal clients, building and maintaining machine learning pipelines and infrastructure, and deploying, monitoring, and optimizing ML models in a secure federal environment.

This role involves advising clients on data governance strategies, including data quality, compliance, and data management frameworks. It requires strong consulting skills and expertise in data governance tools.

This role specializes in developing machine learning models for time series analysis and forecasting. It requires deep expertise in statistical and ML methods for time-dependent data.

This role involves leading the development and delivery of advanced data and AI training programs. It requires extensive experience in data science and education.