Senior Machine Learning Engineer

Job Summary

Collaborating with the Data Science and Machine Learning department, the full-time Senior Machine Learning Engineer will design and implement scalable AI services, optimize machine learning infrastructure, and contribute to cross-functional initiatives in a remote environment.

Key responsibilities

• Design and implement end-to-end ML systems, including data ingestion, feature processing, model training, and model serving
• Architect and deploy scalable AI services supporting real-time and batch inference use cases
• Develop and evolve MLOps platforms, including training pipelines, deployment workflows, and model observability

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 hands-on experience delivering end-to-end ML systems
• Proficiency with modern ML engineering tooling, including cloud platforms and CI/CD workflows
• Experience designing and scaling real-time and batch inference systems in production