Senior Machine Learning Engineer

Job Summary

Collaborating with cross-functional teams, the full-time Senior Machine Learning Engineer will design and implement scalable AI services, manage end-to-end ML systems, and optimize performance in a remote work environment.

Key responsibilities

• Design and implement end-to-end machine learning systems, including data ingestion and model serving
• Architect and deploy scalable AI services for real-time and batch inference use cases
• Develop and maintain MLOps platforms, ensuring efficient model lifecycle management and performance optimization

Required qualifications

• Master's degree in Computer Science, Software Engineering, Machine Learning, or a related field
• 5+ years of experience building and operating machine learning solutions in cloud environments
• Demonstrated experience delivering end-to-end ML systems, including model development and production infrastructure
• Proficiency with modern ML engineering tools, including cloud platforms and CI/CD workflows
• Experience designing and scaling real-time and batch inference systems in production