Description:
Experience with distributed data processing tools like Apache Spark and cloud data platforms like Snowflake or Databricks.Experience with MLOps tools for experiment tracking (e.g., MLflow), orchestration (e.g., Kubeflow Pipelines, Airflow), model registries, and CI/CD for ML.Infrastructure & Cloud: Experience designing, building, and managing microservices. Familiarity with containerization (Docker) and orchestration (Kubernetes). Experience with a major cloud provider (AWS, Google Cloud Platfor
Sep 2, 2025;
from:
dice.com