Description:
ResponsibilitiesDesign, develop and deploy ML/AI models and pipelines for production use.Collaborate with data engineers to build robust data collection, validation, and feature pipelines.Implement model training, evaluation, versioning, and monitoring workflows (CI/CD for ML).Optimize models and inference for latency, throughput, cost, and accuracy.Build APIs, microservices or serverless components to serve models in production.Implement observability: metrics, logging, model drift detection, a
Jan 29, 2026;
from:
dice.com