Applied AI Manager - Production ML for Structured Finance
PLP Group
New York (NY)
On-site
USD 130,000 - 160,000
Full time
14 days+
Application generator
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Get past ATS filters
Benefits offered by this job
Competitive salary
Performance-based bonus
Stock option plan
Regular team events
Opportunities for career growth
Job summary
A leading fintech innovator in New York is seeking an experienced Applied AI Manager to lead AI expansion across their platform. You will guide complex ML and GenAI systems, ensuring production readiness while tackling high-stakes finance problems. Ideal candidates will have a strong software background, solid experience in structured finance, and the ability to mentor engineers. The role promises competitive salary and growth opportunities within a collaborative team environment.
Qualifications
Proven experience leading engineering teams in a fast-paced, high-growth environment.
Solid understanding of structured finance including loan tapes and cash flow waterfalls.
Hands-on experience with ML/GenAI systems in production within complex domains.
Responsibilities
Lead the design and delivery of complex ML and GenAI systems.
Guide the team across the full AI lifecycle with a focus on reproducibility.
Drive architectural decisions for data-intensive applications.
Skills
Leadership in engineering teams
Software engineering (Python)
AI/ML frameworks knowledge
Cloud infrastructure (AWS)
Tools
MLOps practices
Data-intensive applications
NLP
Job description
A leading fintech innovator in New York is seeking an experienced Applied AI Manager to lead AI expansion across their platform. You will guide complex ML and GenAI systems, ensuring production readiness while tackling high-stakes finance problems. Ideal candidates will have a strong software background, solid experience in structured finance, and the ability to mentor engineers. The role promises competitive salary and growth opportunities within a collaborative team environment.