Lead ML Engineer & MLOps for Real-Time Personalization

A leading financial services firm is seeking a Senior MLOps engineer to join their team. The successful candidate will work closely with data scientists to build and deploy machine learning models on a modern MLOps stack. Responsibilities include developing robust pipelines for distributed training on GPU clusters, managing real-time and batch inference, and implementing monitoring tools to ensure optimal model performance. Ideal candidates should have extensive Python experience, knowledge of AWS, and a background in big data/ML tools. #J-18808-Ljbffr