[Remote] AI ML Engineer at dv01

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

FinTech, FinanceIndustries

Requirements

3+ years of professional experience writing production-ready code in a language such as Python
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
At least 3 years of 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 Claude and/or Gemini desired
Strong communication skills and experience collaborating cross-functionally with product, design, and engineering
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
Hands-on experience with Databricks, BigQuery or comparable big data systems. Strong SQL skills, bonus points for familiarity with dbt
Proactive and innovative, with the ability to explore uncharted solutions and tackle challenges that don’t have predefined answers

Responsibilities

Design and architect state-of-the-art AI/ML solutions to unlock valuable insights from unstructured banking documents, including building document parsers to assist with the analysis of challenging document types and document classifiers to improve data ingestion processes and provide enhanced intelligence
Build, deploy, and maintain new and existing AI/ML solutions, participating in 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, and optimize processes making informed tradeoffs across speed, performance, cost-effectiveness, and accuracy
Interact with a diverse team, including internal domain experts, product managers, engineers, and designers in a highly collaborative environment
Keep up to date with AI/ML best practices and evolving open-source frameworks, regularly seeking out innovation and continuous improvement

Skills

Key technologies and capabilities for this role

Machine LearningAIDocument ParsingDocument ClassificationData IngestionModel DeploymentSoftware DevelopmentAlgorithm Evaluation

Questions & Answers

Common questions about this position

What experience level is required for this AI ML Engineer role?

You need 3+ years of professional experience writing production-ready code in a language such as Python, plus at least 3 years in hands-on development of machine learning models using frameworks.

What key technical skills are needed for this position?

Proficiency in Python for production systems, experience with MLOps and DevOps practices including CI/CD, continuous training, evaluation, and performance tracking using MLflow, and hands-on development of machine learning models with modern frameworks.

What is the work environment like at dv01?

The team operates in a highly collaborative environment where you'll interact daily with internal domain experts, product managers, engineers, and designers.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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