Senior Data/ai Engineering

AT&T

Dallas, Texas, USA
$128,400.00 - $215,800.00 usd annual; not specifie...
Onsite
Data pipelines and ai/ml models
Machine learning operationalization
Data storage and processing optimization
GrowthHub is a new platform designed to help ATS employees unlock their full potential by providing personalized insights into skills and recommended growth opportunities

Job Summary

  • GrowthHub is a new platform designed to help ATS employees unlock their full potential by providing personalized insights into skills and recommended growth opportunities.
  • The Senior Data/AI Engineer will architect and implement advanced data infrastructure and AI models to enable scalable and intelligent solutions across the organization.
  • Joining our team comes with amazing perks and benefits including Medical/Dental/Vision coverage, 401(k) plan, and Tuition reimbursement program.

Matching Summary

GrowthHub is a new platform designed to help ATS employees unlock their full potential by providing personalized insights into skills and recommended growth opportunities.

Salary

$128,400.00 - $215,800.00 USD Annual; Not specified; Medical/Dental/Vision coverage, 401(k) plan, Tuition reimbursement program, Paid Time Off and Holidays, Paid Parental Leave, Paid Caregiver Leave, Adoption Reimbursement, Disability Benefits, Life and Accidental Death Insurance, Supplemental benefit programs, Employee Assistance Programs (EAP), Employee wellness programs, Employee discounts

Skills & Requirements

Must-have

  • Data pipelines and AI/ML models
  • Machine learning operationalization
  • Data storage and processing optimization
  • Data governance and security
  • Cloud platforms (AWS, Azure, GCP)
  • Big data technologies (Hadoop, Kafka)
  • SQL/NoSQL databases

Nice-to-have

  • Personalized employee growth insights
  • Skill validation and development platform
  • Emerging AI technologies evaluation
  • Collaboration with data scientists
  • Proactive skill evolution for initiatives

Key Requirements

  • Bachelor’s or Master’s degree
  • Significant experience in data engineering
  • Significant experience in machine learning model development
  • Proficiency with Python, Spark, TensorFlow/PyTorch
  • Experience with analytics and workflow tools
  • Ability to design scalable AI systems

Work Rights

Not specified

Tailored Resume

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