Lead Machine Learning Engineer

Job Summary

To architect, build, and scale core platforms for enterprise-wide machine learning solutions, the fully remote Lead Machine Learning Platform Engineer will provide technical leadership across ML infrastructure, MLOps automation, and model deployment systems while collaborating with cross-functional teams.

Key Responsibilities

• Serve as the technical lead for ML platform architecture, guiding system design, scalability, performance, and reliability
• Architect and build core ML platform services, including training infrastructure, feature stores, and data pipelines
• Design and implement robust MLOps pipelines for model governance, experiment tracking, and automated retraining

Required Qualifications

• Extensive experience in ML engineering, platform engineering, or large-scale distributed systems
• Deep hands-on expertise with MLOps tools, ML frameworks, and ML lifecycle automation
• Strong proficiency in Python and backend development for machine learning systems
• Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI
• Solid knowledge of system design, APIs, data pipelines, and scalable ML infrastructure patterns