Machine Learning Platform Lead

To drive enterprise-wide machine learning solutions, the fully remote Machine Learning Platform Lead will architect, build, and scale core platforms while providing technical leadership across ML infrastructure, MLOps automation, and model deployment systems. Key Responsibilities Serve as the technical lead for ML platform architecture, ensuring 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 experiment tracking, model versioning, 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, or Google Vertex AI Solid knowledge of system design, APIs, data pipelines, and scalable ML infrastructure patterns