Lead Data/ai Engineering

AT&T AT&T · Telecom · Dallas, TX

Lead Data/AI Engineering role focused on managing stakeholder relationships, translating business objectives into data manipulation requirements, and driving AI Technology platform strategy. The role involves providing thought leadership on AI/ML tooling for Data Science solutions including AI-Computer Vision, DVA, OCR, and AI-Knowledge Graph. Responsibilities include acquiring buy-in, ensuring integration of data science artifacts with software development, reviewing data science outputs for accuracy, presenting strategic visions, and mentoring colleagues. Experience with JVM-based languages, HDFS-based computing frameworks (Spark), Python, JavaScript, PySpark, AI-Knowledge Graph, AI-Computer Vision, Image Processing, OCR, and Big Data technologies (Databricks, Python, PySpark, SQL) is required.

What you'd actually do

  1. Manage stakeholder relationship, analyze and interpret business objectives, transform those needs into relevant data manipulation requirements, and anticipate risks, mitigate roadblocks, and execute outputs for leadership.
  2. Provide thought leadership to executives that drive AI Technology platform strategy to align and optimize AI/ML tooling to facilitate highly productive Data Science solutioning including AI-Computer Vision, Data & Visual Analytics (DVA), Optical Character Recognition (OCR), and AI-Knowledge Graph.
  3. Acquire buy-in that must be secured from key leadership stakeholders to sponsor key strategies.
  4. Provide thought leadership to executives that drive best-in-class software development that must be integrated with the data science artifacts, developed and manipulated to test by data scientists and testing iterations must be performed.
  5. Review data science outputs of entire solution and vet for accuracy.

Skills

Required

  • JVM-based function languages
  • HDFS-based computing frameworks including Spark
  • Python programming
  • JavaScript Data Visualization
  • PySpark
  • AI-Knowledge Graph
  • AI-Computer Vision
  • Image Processing
  • Optical Character Recognition (OCR) model packages
  • Big Data technologies
  • Databricks
  • SQL

What the JD emphasized

  • AI-Computer Vision
  • Optical Character Recognition (OCR)
  • AI-Knowledge Graph
  • Big Data technologies

Other signals

  • AI-Computer Vision
  • Data & Visual Analytics
  • Optical Character Recognition
  • AI-Knowledge Graph
  • Big Data technologies
  • Python
  • PySpark
  • SQL
  • Databricks