Description:
We are seeking a hybrid Data Science & ML Ops Engineer to drive the full lifecycle of machine learning solutions from data exploration and model development to scalable deployment and monitoring. This role bridges the gap between data science model development and production-grade ML Ops engineering. Key Responsibilities: Build predictive models using structured/unstructured data across multiple business lines. Utilize AutoML tools (Vertex AI AutoML, H2O Driverless AI) for rapid, low-code/no-cod
Sep 4, 2025;
from:
dice.com