Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to design, build, and scale production-ready ML systems.

Requirements

• Design and implement automated training and inference pipelines, including building a model registry system for artifact tracking, versioning, and lineage.
• Develop frameworks for on-demand model training and architect parallel processing systems to support inference in event-driven environments.
• Design and develop robust APIs that expose machine learning capabilities for internal and external use.
• Build ETL pipelines and preprocessing frameworks tailored for ML applications.
• Implement comprehensive monitoring solutions to identify performance bottlenecks and optimize system scalability.
• Create infrastructure to support offline and online experimentation.
• Build internal tools and frameworks that standardize ML workflows across teams and improve efficiency.
• Stay up to date with emerging trends in machine learning engineering and MLOps, and evaluate new tools and best practices.
• Contribute to technical architecture and decision-making to enhance ML infrastructure and platform capabilities.