Staff Software Engineer, Machine Learning

Educational Background: Bachelor's or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience. Skills: Exceptional problem-solving, strong communication skills, ability to influence decisions. Experience: Proven track record in designing and delivering robust services. DevOps Skills: 5+ years of experience, expertise in AWS services, and proficiency with IaC tools. ML Engineering Skills: 2+ years in MLOps, managing machine learning systems, and proficiency in Python. Preferred Skills: Knowledge of AI/ML technologies and experience with Large Language Models.

Shape ML Platform Architecture: Drive the design, development, and evolution of the internal ML platform. Engineer Scalable Systems: Build and support scalable and multi-component data and ML systems. Automated Model Lifecycle Management: Develop frameworks for continuous retraining of production models. Collaborative Problem-Solving: Partner with cross-functional teams to align technical decisions. Technical Leadership: Serve as a mentor and expert in AI/ML engineering. Champion Code Quality: Advocate for high-quality engineering standards.