Invalid class exception in apache spark

I am trying to run a spark job using spark-submit. When I run it in eclipse the job runs without any issue. When I copy the same jar file to a remote machine and run the job there I get the below issue

17/08/09 10:19:15 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, ip-10-50-70-180.ec2.internal): java.io.InvalidClassException: org.apache.spark.executor.TaskMetrics; local class incompatible: stream classdesc serialVersionUID = -2231953621568687904, local class serialVersionUID = -6966587383730940799
at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1829)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1986)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2231)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2155)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2013)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:253)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

I saw some other links in SO and tried the below

1. Changed the version of spark jars to 2.11 from 2.10 which I was using before. Now the dependencies in pom look like this

    <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-core_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   
   </dependency>
   
   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-sql_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   </dependency>
   
   <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-yarn_2.10 -->
   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-yarn_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   </dependency>
   
   <dependency>
       <groupId>org.apache.spark</groupId>
       <artifactId>spark-mllib_2.11</artifactId>
       <version>2.0.2</version>
       <scope>provided</scope>
   </dependency>
   

2. I also checked that the version 2.11-2.0.2 exists in the jars folder of spark as suggested in a few links.

3. I also added provided in the dependencies as suggested in few links

None of the above helped. Any help would be of great help as I am stuck in this issue. Thanks in advance. Cheers

Edit 1: This is the spark-submit command

spark-submit --deploy-mode cluster --class "com.abc.ingestion.GenericDeviceIngestionSpark" /home/hadoop/sathiya/spark_driven_ingestion-0.0.1-SNAPSHOT-jar-with-dependencies.jar "s3n://input-bucket/input-file.csv" "SIT" "accessToken" "UNKNOWN" "bundleId" "[{"idType":"D_ID","idOrder":1,"isPrimary":true},{"idType":"HASH_DEVICE_ID","idOrder":2,"isPrimary":false}]"

Edit 2:

I also tried adding the variable serialVersionUID = -2231953621568687904L; to the related class but that didn't resolve the issue