diff --git a/engines/pyfunc-ensembler-service/Dockerfile b/engines/pyfunc-ensembler-service/Dockerfile
index d55f9990b..2a6b4d646 100644
--- a/engines/pyfunc-ensembler-service/Dockerfile
+++ b/engines/pyfunc-ensembler-service/Dockerfile
@@ -1,5 +1,7 @@
 FROM condaforge/miniforge3:23.3.1-1 AS builder
 
+RUN apt-get update && apt-get install unzip
+
 ARG APP_NAME
 ARG CONDA_ENV_NAME
 ARG PYTHON_VERSION
@@ -7,8 +9,11 @@ ARG PYTHON_VERSION
 ENV APP_NAME=$APP_NAME
 ENV CONDA_ENV_NAME=$CONDA_ENV_NAME
 
+# Install gcloud SDK
 RUN wget -qO- https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-sdk-367.0.0-linux-x86_64.tar.gz  | tar xzf -
 ENV PATH=$PATH:/google-cloud-sdk/bin
+# Install aws CLI
+RUN wget -q https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip && unzip awscli-exe-linux-x86_64.zip && ./aws/install
 
 COPY . .
 COPY ./temp-deps/sdk ./../../sdk
diff --git a/engines/pyfunc-ensembler-service/app.Dockerfile b/engines/pyfunc-ensembler-service/app.Dockerfile
index 5182175c4..39bec2a53 100644
--- a/engines/pyfunc-ensembler-service/app.Dockerfile
+++ b/engines/pyfunc-ensembler-service/app.Dockerfile
@@ -2,13 +2,34 @@ ARG BASE_IMAGE
 
 FROM ${BASE_IMAGE} as builder
 
+ARG MLFLOW_ARTIFACT_STORAGE_TYPE
+
 ARG MODEL_URL
 ARG FOLDER_NAME
 ARG GOOGLE_APPLICATION_CREDENTIALS
 
-# Run docker build using the credentials if provided
-RUN if [[-z "$GOOGLE_APPLICATION_CREDENTIALS"]]; then gcloud auth activate-service-account --key-file=${GOOGLE_APPLICATION_CREDENTIALS}; fi
-RUN gsutil -m cp -r ${MODEL_URL} .
+ARG AWS_ACCESS_KEY_ID
+ARG AWS_SECRET_ACCESS_KEY
+ARG AWS_DEFAULT_REGION
+ARG AWS_ENDPOINT_URL
+
+RUN if [ "${MLFLOW_ARTIFACT_STORAGE_TYPE}" = "gcs" ]; then  \
+        if [ ! -z "${GOOGLE_APPLICATION_CREDENTIALS}" ]; then \
+            gcloud auth activate-service-account --key-file=${GOOGLE_APPLICATION_CREDENTIALS}; \
+        fi \
+    elif [ "${MLFLOW_ARTIFACT_STORAGE_TYPE}" = "s3" ]; then \
+       echo "S3 credentials used"; \
+    else \
+       echo "No credentials are used"; \
+    fi
+
+RUN if [ "${MLFLOW_ARTIFACT_STORAGE_TYPE}" = "gcs" ]; then  \
+        gsutil -m cp -r ${MODEL_URL} .; \
+    elif [ "${MLFLOW_ARTIFACT_STORAGE_TYPE}" = "s3" ]; then \
+        aws s3 cp ${MODEL_URL} ensembler --recursive; \
+    else \
+        echo "No credentials are used"; \
+    fi
 
 RUN /bin/bash -c "conda env update --name ${CONDA_ENV_NAME} --file ./${FOLDER_NAME}/conda.yaml"