AI Platform Engineer:8+ yearsexperiences 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
Job Title
AI Platform Engineer(MLOps)