AI Platform Engineer(MLOps)

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