Senior Lead Machine Learning Engineer role focused on productionizing scalable ML applications within an Agile team.
Design, develop, and deploy ML models solving real-world business challenges, collaborating with cross-functional teams.
Build and optimize ML infrastructure, data pipelines, and cloud-based solutions leveraging technologies like Python, Scala, or Java.
Ensure high availability, performance, and governance of ML systems, incorporating Responsible AI practices.
Lead model maintenance, monitoring, and retraining in production environments, applying CI/CD best practices.
Utilize expertise in ML frameworks (e.g., PyTorch, TensorFlow), distributed computing, and data engineering.
Ideal candidates have 8+ years of data solution experience, 4+ years of programming, and 2+ years leading ML teams, with advanced degrees preferred.