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TIAA

Associate Director – AI/ML Engineering Lead

TIAA

Associate Director leading high-performing AI/ML engineering team at TIAA, focused on developing scalable applications using AWS and Python. Involves hands-on development and architecture design in a collaborative environment.

Posted 6/14/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudPython

About the role

Key responsibilities & impact
  • Lead a high-performing engineering team responsible for building distributed applications
  • Develop and deploy machine learning and deep learning models for business use cases
  • Architect large-scale Python applications optimized for low latency
  • Design and manage cloud-native solutions leveraging AWS services
  • Drive the full software development lifecycle including CI/CD automation and monitoring

Requirements

What you’ll need
  • 5+ years of work experience required
  • 7+ years of work experience preferred
  • University (Degree) preferred
  • Experience in machine learning engineering
  • Experience in building distributed, scalable, and low-latency applications on AWS with Python

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

ATS Keywords

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Hard Skills & Tools
Pythonmachine learningdeep learningcloud-native solutionsCI/CD automationdistributed applicationsscalable applicationslow-latency applicationsAWSsoftware development lifecycle
Soft Skills
leadershipteam managementcommunication
Certifications
University Degree