AI/ML Engineer

Job Description Location: Austin TX Mandatory Skills GCP BigQuery Kafka Dataflow Apache Spark Data Spark Vertex AI Cloud Storage Experience Data Engineer II ML Training MultiSource Integration 5-7 years in data or ML data engineering Required Qualifications 7-9 years of handson data engineering or ML data engineering experience in a production GCP environment Strong proficiency in Python Java or Nodejs for pipeline development feature engineering scripts and automation Strong handson experience with BigQuery partitioning clustering cost management complex SQL MLoptimized Proficiency with Apache Kafka for realtime streaming ingestion Experience with Dataflow Apache Beam for both streaming and batch pipelines Proficiency with Apache Spark PySpark or Scala DataSpark experience a strong plus Solid familiarity with GCP ecosystem Cloud Storage PubSub Dataproc Cloud ComposerAirflow Experience building ML training pipelines and Feature Stores GCP Feature Store preferred understanding of the ML lifecycle including feature engineering data versioning and traineval splits Experience with Vertex AI Pipelines or similar MLOps tooling Demonstrated experience designing disaster recovery zones and failover strategies for cloud data platforms crossregion replication RTORPO definition and DR testing Experience with data archival design BigQuery table lifecycle management Cloud Storage tiered storage policies and longterm retention for regulated datasets Handson experience handling PHI under HIPAA fieldlevel encryption and masking deidentification techniques audit logging access control policies and HIPAA Security Rule compliance for data at rest and in transit Strong SQL and data modeling skills experience with layered data lake or lakehouse architecture #J-18808-Ljbffr LTM