@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 😄 
tests/providers/google/cloud/operators/test_mlengine.py
failure_response = self.TRAINING_INPUT.copy()
        failure_response['state'] = 'FAILED'
        failure_response['errorMessage'] = 'A failure message'
        hook_instance = mock_hook.return_value
        hook_instance.create_job.return_value = failure_response
        with pytest.raises(RuntimeError) as ctx:
            training_op = MLEngineStartTrainingJobOperator(**self.TRAINING_DEFAULT_ARGS)
            training_op.execute(None)
        mock_hook.assert_called_once_with(
            gcp_conn_id='google_cloud_default',
            delegate_to=None,
            impersonation_chain=None,
        )
        
        assert len(hook_instance.mock_calls) == 1
        hook_instance.create_job.assert_called_once_with(
            project_id='test-project', job=self.TRAINING_INPUT, use_existing_job_fn=ANY
        )
        assert 'A failure message' == str(ctx.value)
    @patch('airflow.providers.google.cloud.operators.mlengine.MLEngineHook')
    def test_console_extra_link(self, mock_hook):