AI/ML Engineer

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September 30

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dv01

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Finance • Fintech • SaaS

dv01 is a data management and analytics platform that serves as a crucial link between lenders and capital markets. It specializes in providing standardized loan-level data and integrated analytics tools to facilitate easier access and analysis of structured finance products. The platform supports various asset classes, including consumer unsecured loans, mortgages, auto loans, and student loans, and offers insights through features like ESG Data Enrichment and Portfolio Surveillance. dv01's offerings help transform raw, error-laden data into trustworthy, actionable insights, aiding investment banks, hedge funds, asset managers, and institutional investors in making smarter, data-driven financial decisions. The company addresses outdated technologies in the structured products market, offering a modern, cloud-based solution to enhance data integrity and optimize financial strategies.

51 - 200 employees

Founded 2014

💸 Finance

💳 Fintech

☁️ SaaS

📋 Description

• Design and architect state-of-the-art AI/ML solutions to unlock valuable insights from unstructured banking documents, including building document parsers and classifiers. • Build, deploy and maintain new and existing AI/ML solutions and participate in end-to-end software development of new feature functionality and design capabilities. • Write clean, testable, and maintainable code and establish meaningful criteria for evaluating algorithm performance and suitability. • Optimize processes and make informed tradeoffs across speed, performance, cost-effectiveness, and accuracy. • Interact with cross-functional teams including internal domain experts, product managers, engineers, and designers. • Keep up to date with AI/ML best practices and evolving open-source frameworks, seeking continuous improvement and innovation.

🎯 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 hands-on development of machine learning models using frameworks like Pytorch and tensorflow. • At least 1 year focused on generative AI using techniques such as RAG, Agentic AI, and Prompt Engineering. • Familiarity with Claude and/or Gemini is desired. • Strong communication skills and experience collaborating cross-functionally with product, design, and engineering. • Proficient working in cloud environments (GCP preferred). • Experience 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, able to explore uncharted solutions and tackle ambiguous problems.

🏖️ Benefits

• Unlimited PTO. Unplug and rejuvenate, however you want—whether that’s vacationing on the beach or at home on a mental-health day. • $1,000 Learning & Development Fund. No matter where you are in your career, always invest in your future. We encourage you to attend conferences, take classes, and lead workshops. • Remote-First Environment. People thrive in a flexible and supportive environment that best invigorates them. You can work from your home, cafe, or hotel. You decide. • Health Care and Financial Planning. We offer a comprehensive medical, dental, and vision insurance package for you and your family. We also offer a 401(k) for you to contribute. • Free Equinox Membership or $1,650 Annual Fitness Fund. Regular exercise offers a plethora of mental and physical health benefits. You can either enroll in an all-access Equinox membership or at your preferred gym. Or take advantage of our fitness fund, which can be used toward at-home workout equipment (yes, including a Peloton). • New Family Bonding. Primary caregivers can take 12 weeks off 100% paid leave, while secondary caregivers can take 4 weeks.