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Associate Director – AI/ML Engineering Lead
TIAAAssociate 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.
Tech Stack
Tools & technologiesAWSCloudPython
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningdeep learningcloud-native solutionsCI/CD automationdistributed applicationsscalable applicationslow-latency applicationsAWSsoftware development lifecycle
Soft Skills
leadershipteam managementcommunication
Certifications
University Degree