Dia Software Solutions

Dia Software Solutions

Sr AI/ ML Engineer

Austin, Texas, USA · Senior · third party, contract

Sponsorship not specifiedDetected 22 days ago
GitSQLRedshiftDatabricksAWSAzureDockerCI/CDPlatform EngineeringRESTMachine LearningPyTorchscikit-learnData EngineeringLLMsComplianceStakeholder ManagementpytestHIPAAResearchLeadershipCommunicationActuarial SciencePipeline Integrity

About the role

  • Hi, Greetings from DIA SOFTWARE SOLUTIONS LLC!
  • We reaching out about an exciting Direct client opportunity with one of our clients.
  • Direct client Req:: Need Sr Artificial Intelligence/Machine Learning Engineer,Hybrid, TX PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM!

Responsibilities

  • The Worker will design, build, and maintain the AI automation layer for the RISE data migration program, developing auditable anomaly detection pipelines, exception classification workflows, and real-time quality dashboards that accelerate conversion specialist throughput and provide ERS program leadership with continuous visibility into migration integrity.

Requirements

  • A high degree of technical rigor, clean architecture discipline, and cross-functional stakeholder communication is expected.

Nice to have

  • All Dia soft staff must be able to demonstrate the legal right to work in the United States.
  • DIA SOFTWARE SOLUTIONS is an E-Verify employer
  • Actual Years Experience Years Experience Needed Required/ Preferred Skills/Experience 6 Required Applied AI/ML pipeline development and deployment for large-scale data reconciliation programs
  • Delta Lake compaction, ACID semantics, and Parquet optimization for downstream analytics
  • Azure Key Vault managed identity integration for encryption-in-transit and at-rest compliance across reconciliation artifacts DIA SOFTWARE SOLUTIONS LLC.

Benefits

  • ERS is seeking a Machine Learning / AI Engineer with 12+ years of senior production experience and delivers AI-driven data reconciliation and analytics pipeline solutions in regulated environments.

This listing is sourced directly from Dia Software Solutions's careers page and normalized into a canonical job model.