[Remote] AI ML Engineer at dv01

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

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Requirements

Experience with production systems: 3+ years of professional experience writing production-ready code in a language such as Python
Experience with MLOps: Familiar with building end-to-end AI/ML systems with MLOps and DevOps practices (CI/CD, continuous training, evaluation, and performance tracking) with hands-on experience using MLflow
Experience with the latest AI/ML developments: At least 3 years experience in hands-on development of machine learning models using frameworks like Pytorch and tensorflow, with at least 1 year focused on generative AI using techniques such as RAG, Agentic AI, and Prompt Engineering
Familiarity with Cloud & APIs: Proficient working in cloud environments (GCP preferred), as well as in contributing to containerized applications (Docker, Kubernetes) and creating APIs using FastAPI, Flask, or other frameworks
Experience with Big Data Systems: Hands-on experience with Databricks, BigQuery or comparable big data systems. Strong SQL skills, bonus points for familiarity with dbt
Strong communication skills and experience collaborating cross-functionally with product, design, and engineering
Experience with Cloud & APIs: Proficient working in cloud environments (GCP preferred), as well as in contributing to containerized applications (Docker, Kubernetes) and creating APIs using FastAPI, Flask, or other frameworks
Experience with AI/ML frameworks: Familiarity with frameworks like Pytorch, tensorflow, and/or RAG, Agentic AI, and Prompt Engineering
Experience with Generative AI: At least 1 year focused on hands-on development of machine learning models using techniques such as RAG, Agentic AI, and Prompt Engineering

Responsibilities

Design and architect state-of-the-art AI/ML solutions to unlock valuable insights from unstructured banking documents
Build document parsers to assist with the analysis of challenging document types
Build document classifiers to better improve the reliability and speed of data ingestion processes
Participate in the end-to-end software development of new feature functionality and design capabilities
Write clean, testable, and maintainable code
Establish meaningful criteria for evaluating algorithm performance and suitability
Optimize processes and make informed tradeoffs across speed, performance, cost-effectiveness, and accuracy
Interact with a diverse team of domain experts, product managers, engineers, and designers on a daily basis
Keep up to date with AI/ML best practices and evolving open-source frameworks
Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks

Skills

dv01

Data management and analytics for lending markets

About dv01

dv01 provides a data management and analytics platform specifically designed for the lending markets. It offers detailed insights into loan-level data for various types of loans, such as consumer unsecured loans, non-QM loans, auto loans, and student loans. The platform helps financial institutions make informed decisions by allowing them to analyze loan performance, track loans in forbearance, and evaluate their portfolios over time. dv01 differentiates itself from competitors by standardizing loan-level data and offering tools for performance metrics and ESG data analytics, which are essential for impact investments. The company's goal is to enhance transparency and intelligence in the lending market, enabling clients to identify risks, project cashflows, and compare loan datasets effectively.

New York City, New YorkHeadquarters

2014Year Founded

$35.5MTotal Funding

SERIES_BCompany Stage

Fintech, Social Impact, Financial ServicesIndustries

51-200Employees

Benefits

Unlimited Paid Time Off

$1,000 Learning & Development Fund

Remote Work Options

Health Insurance

401(k) Retirement Plan

Gym Membership

New Family Bonding

Risks

Emerging fintech competitors may erode dv01's market share.

Fitch Group acquisition may disrupt existing client relationships or operational focus.

Reliance on partnerships like GoodLeap exposes dv01 to potential risks if they dissolve.

Differentiation

dv01 offers unparalleled loan-level transparency and insight into lending markets.

The platform integrates data from 16 marketplace lending platforms and multiple mortgage servicers.

dv01 provides standardized, cleansed loan-level data for efficient risk identification and cashflow projections.

Upsides

Growing demand for ESG data analytics aligns with dv01's offerings.

Collaboration with Fitch Ratings enhances dv01's position in non-agency RMBS markets.

Increased regulatory scrutiny on data transparency boosts demand for dv01's services.

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