Machine Learning Engineer

About the role

ML Engineer building ML pipelines and platforms, AWS SageMaker, Airflow, MLOps, fintech.

Requirements

• 3-5 years ML engineering deploying models to production
• Modern data stack, Databricks or Redshift
• 3 years AWS SageMaker Spark Glue Terraform
• Airflow orchestration
• MLflow/Kubeflow
• Model governance

What you'll do

• Build and deploy ML models
• MLOps standards
• Observability

Where this was posted

• lever

  last seen 33m ago
  View on lever