Senior Machine Learning Engineer

Role Purpose/Business Unit:

As a Senior Machine Learning Engineer, you will play a critical role in designing, deploying, and operationalizing scalable machine learning solutions across multiple markets. You will work with cross‑functional teams including data scientists, data engineers, software engineers, and product managers to integrate models into production with a robust MLOps lifecycle. This role demands strong experience in ML engineering at scale, advanced automation, real‑time model serving, and compliance‑aware development.

Responsibilities:

• ML System Design & Architecture: Architect and implement scalable, secure ML pipelines using tools like MLflow, SageMaker, or Databricks. Design reusable templates for batch and real‑time inference.
• Production Model Deployment: Automate deployment of models into production with CI/CD, containerization (Docker), orchestration (Kubernetes), and feature stores.
• Model Monitoring & G...