AI Platform Engineer:

8+ years experiences on relevant field below (Internship, prototype, and personal projects do not count)

Coding is required. (Ideally Python or Java)

Experience in DevOps Culture (Own development – deployment end to end)

Experience in building or deploying solution in the cloud. Either on Cloud Native or Agnostic solutions:

i. Cloud Native (Serverless): S3, Lambda, AWS Batch, ECS

ii. Cloud Agnostic: Kubernetes services.

CICD experience: Github action or Jenkin.

Infrastructure as code: Terraform

And experience in at least one of this focus area:

Big data: Building Big data pipeline or Platform to process petabytes of data. Kafka, Debezium, Lakehouse (Hudi/Iceberg/Delta Lake), Spark, Glue, EMR.(preferred)

Graph Databases: Ingesting and consuming data in Graph Database such as Neo4J, JanusGraph or DGraph

MLOps: Infrastructure and Operation: Kafka, KNative, KServe, Nvidia Triton, Ray Serve, MLflow, Sagemaker