Grounded AI ML Engineer - RAG & Explainable Models

Moraph LLC; New York (NY); Hybrid; USD 180,000 - 205,000; Full time

Job summary

Moraph is seeking an experienced ML engineer to build AI features that cite sources and support regulated clients in explaining decisions to examiners. The role is hybrid and based in our New York office.

You will design retrieval and generation systems grounded in client documents, evaluate models for accuracy, bias and drift, and deploy with monitoring and rollback. You will own workstreams end to end with light guidance and raise risks early.

Qualifications

• 3+ years of experience in machine learning engineering in Python.
• Evaluation and testing of models.
• A record of delivering work on your own, to deadlines, in a team setting.

Responsibilities

• Build retrieval and generation systems grounded in client documents.
• Evaluate models for accuracy, bias and drift.
• Ship models with monitoring and rollback.
• Own your workstreams end to end with light guidance, and raise risks early.

Skills

Python

ML engineering

Model evaluation

Independent work

Job description

Moraph is seeking an experienced ML engineer to build AI features that cite sources and support regulated clients in explaining decisions to examiners. The role is hybrid and based in our New York office.

You will design retrieval and generation systems grounded in client documents, evaluate models for accuracy, bias and drift, and deploy with monitoring and rollback. You will own workstreams end to end with light guidance and raise risks early.