@darshan-majithiya had opened #15429 to add the hyperparameter tuning PR but it's gone stale. I'm adding this issue to see if they want to pick it back up, or if not, if someone wants to pick up where they left off in the spirit of open source 😄 
airflow/providers/google/cloud/operators/mlengine.py
if not self._model_name:
            raise AirflowException("The model_name parameter could not be empty.")
        if not self._version_name:
            raise AirflowException("The version_name parameter could not be empty.")
    def execute(self, context):
        hook = MLEngineHook(
            gcp_conn_id=self._gcp_conn_id,
            delegate_to=self._delegate_to,
            impersonation_chain=self._impersonation_chain,
        )
        return hook.delete_version(
            project_id=self._project_id, model_name=self._model_name, version_name=self._version_name
        )
class AIPlatformConsoleLink(BaseOperatorLink):
    """Helper class for constructing AI Platform Console link."""
    name = "AI Platform Console"
    def get_link(self, operator, dttm):
        task_instance = TaskInstance(task=operator, execution_date=dttm)
        gcp_metadata_dict = task_instance.xcom_pull(task_ids=operator.task_id, key="gcp_metadata")
        if not gcp_metadata_dict:
            return ''
        job_id = gcp_metadata_dict['job_id']
        project_id = gcp_metadata_dict['project_id']
        console_link = f"https://console.cloud.google.com/ai-platform/jobs/{job_id}?project={project_id}"
        return console_link
class MLEngineStartTrainingJobOperator(BaseOperator):