diff --git a/src/autogluon/cloud/job/sagemaker_job.py b/src/autogluon/cloud/job/sagemaker_job.py
index 5185167..edc09ae 100644
--- a/src/autogluon/cloud/job/sagemaker_job.py
+++ b/src/autogluon/cloud/job/sagemaker_job.py
@@ -185,7 +185,7 @@ def run(
             base_job_name=base_job_name,
             output_path=output_path,
             code_location=code_location,
-            custom_image_uri=custom_image_uri,
+            image_uri=custom_image_uri,
             **autogluon_sagemaker_estimator_kwargs,
         )
         logger.log(20, f"Start sagemaker training job `{job_name}`")
diff --git a/src/autogluon/cloud/utils/ag_sagemaker.py b/src/autogluon/cloud/utils/ag_sagemaker.py
index f44c39a..1a00eb4 100644
--- a/src/autogluon/cloud/utils/ag_sagemaker.py
+++ b/src/autogluon/cloud/utils/ag_sagemaker.py
@@ -17,19 +17,19 @@
 class AutoGluonSagemakerEstimator(Estimator):
     def __init__(
         self,
-        entry_point,
         region,
         framework_version,
         py_version,
         instance_type,
+        entry_point=None,
         source_dir=None,
         hyperparameters=None,
-        custom_image_uri=None,
+        image_uri=None,
         **kwargs,
     ):
         self.framework_version = framework_version
         self.py_version = py_version
-        self.image_uri = custom_image_uri
+        self.image_uri = image_uri
         if self.image_uri is None:
             self.image_uri = image_uris.retrieve(
                 "autogluon",
@@ -107,9 +107,12 @@ def _prepare_init_params_from_job_description(cls, job_details, model_channel_na
         init_params = super()._prepare_init_params_from_job_description(
             job_details, model_channel_name=model_channel_name
         )
-        # This two parameters will not be used, but is required to reattach the job
+        # These parameters will not be used, but is required to reattach the job
         init_params["region"] = "us-east-1"
-        init_params["framework_version"] = retrieve_latest_framework_version()
+        framework_version, py_version = retrieve_latest_framework_version()
+        py_version = py_version[0]
+        init_params["framework_version"] = framework_version
+        init_params["py_version"] = py_version
         return init_params
 
 
diff --git a/src/autogluon/cloud/utils/sagemaker_iam.py b/src/autogluon/cloud/utils/sagemaker_iam.py
index 1141e4b..fd1af81 100644
--- a/src/autogluon/cloud/utils/sagemaker_iam.py
+++ b/src/autogluon/cloud/utils/sagemaker_iam.py
@@ -42,6 +42,7 @@
                 "sagemaker:UpdateArtifact",
                 "sagemaker:UpdateEndpoint",
                 "sagemaker:InvokeEndpoint",
+                "sagemaker:ListTags",  # Needed for re-attach job
             ],
             "Resource": [
                 f"arn:aws:sagemaker:*:{POLICY_ACCOUNT_PLACE_HOLDER}:endpoint/{SAGEMAKER_RESOURCE_PREFIX}*",
diff --git a/tests/conftest.py b/tests/conftest.py
index b973749..f3e77dd 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -145,11 +145,14 @@ def test_functionality(
             **fit_kwargs,
         )
         info = cloud_predictor.info()
+        job_name = info["fit_job"]["name"]
         assert info["local_output_path"] is not None
         assert info["cloud_output_path"] is not None
-        assert info["fit_job"]["name"] is not None
+        assert job_name is not None
         assert info["fit_job"]["status"] == "Completed"
 
+        cloud_predictor.attach_job(job_name)
+
         if deploy_kwargs is None:
             deploy_kwargs = dict()
         if predict_real_time_kwargs is None: