diff --git a/src/test/java/org/opensearch/neuralsearch/common/BaseNeuralSearchIT.java b/src/test/java/org/opensearch/neuralsearch/common/BaseNeuralSearchIT.java
index 33cdff9a0..ce021e25b 100644
--- a/src/test/java/org/opensearch/neuralsearch/common/BaseNeuralSearchIT.java
+++ b/src/test/java/org/opensearch/neuralsearch/common/BaseNeuralSearchIT.java
@@ -49,6 +49,7 @@
 import org.opensearch.core.xcontent.XContentBuilder;
 import org.opensearch.index.query.QueryBuilder;
 import org.opensearch.knn.index.SpaceType;
+import org.opensearch.ml.common.model.MLModelState;
 import org.opensearch.neuralsearch.OpenSearchSecureRestTestCase;
 import org.opensearch.neuralsearch.util.NeuralSearchClusterUtil;
 import org.opensearch.test.ClusterServiceUtils;
@@ -610,8 +611,8 @@ protected void deleteModel(String modelId) {
             ImmutableList.of(new BasicHeader(HttpHeaders.USER_AGENT, DEFAULT_USER_AGENT))
         );
 
-        // after model undeploy returns, the max interval to update model status is 3s in ml-commons CronJob.
-        Thread.sleep(3000);
+        // wait for model undeploy to complete
+        pollForModelState(modelId, MLModelState.UNDEPLOYED, 3000, 5);
 
         makeRequest(
             client(),
@@ -623,6 +624,16 @@ protected void deleteModel(String modelId) {
         );
     }
 
+    @SneakyThrows
+    protected void pollForModelState(String modelId, MLModelState expectedModelState, int intervalMs, int maxAttempts) {
+        for (int i = 0; i < maxAttempts; i++) {
+            Thread.sleep(intervalMs);
+            if (expectedModelState.equals(getModelState(modelId))) {
+                return;
+            }
+        }
+    }
+
     public boolean isUpdateClusterSettings() {
         return true;
     }
@@ -698,7 +709,7 @@ protected void deleteSearchPipeline(final String pipelineId) {
     }
 
     /**
-     * Find all modesl that are currently deployed in the cluster
+     * Find all models that are currently deployed in the cluster
      * @return set of model ids
      */
     @SneakyThrows
@@ -733,11 +744,33 @@ protected Set<String> findDeployedModels() {
         List<Map<String, Object>> innerHitsMap = (List<Map<String, Object>>) hits.get("hits");
         return innerHitsMap.stream()
             .map(hit -> (Map<String, Object>) hit.get("_source"))
-            .filter(hitsMap -> !Objects.isNull(hitsMap) && hitsMap.containsKey("model_id"))
+            .filter(
+                hitsMap -> !Objects.isNull(hitsMap)
+                    && hitsMap.containsKey("model_id")
+                    && MLModelState.DEPLOYED.equals(getModelState(hitsMap.get("model_id").toString()))
+            )
             .map(hitsMap -> (String) hitsMap.get("model_id"))
             .collect(Collectors.toSet());
     }
 
+    @SneakyThrows
+    protected MLModelState getModelState(String modelId) {
+        Response getModelResponse = makeRequest(
+            client(),
+            "GET",
+            String.format(LOCALE, "/_plugins/_ml/models/%s", modelId),
+            null,
+            toHttpEntity(""),
+            ImmutableList.of(new BasicHeader(HttpHeaders.USER_AGENT, DEFAULT_USER_AGENT))
+        );
+        Map<String, Object> getModelResponseJson = XContentHelper.convertToMap(
+            XContentType.JSON.xContent(),
+            EntityUtils.toString(getModelResponse.getEntity()),
+            false
+        );
+        return MLModelState.valueOf((String) getModelResponseJson.get("model_state"));
+    }
+
     /**
      * Get the id for model currently deployed in the cluster. If there are no models deployed or it's more than 1 model
      * fail on assertion