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🤖ML Engineer

AI-Forward Data Lead (Agent Operator)

Solo%20funds · United States
// classified as
ML Engineer (Productionizing models, serving, MLOps.)
posted
3d ago
location
United States
languages
python, sql
tools
> stack
pythonsql
> description

About SoLo Funds

SoLo Funds is a full-stack, AI-powered community bank, empowering financial autonomy for underserved communities. Launched in 2018 as an on-demand marketplace, SoLo enables its members to request and fund emergency loans—without predatory interest rates. We are VC-backed, supported by Techstars, and have strategic partnerships with Visa and Kiva.

About the role

SoLo is building the data function of the future: one professional, operating a team of AI agents rather than managing a team of people. You will own data science, analysis, business intelligence, risk, fraud, and data engineering across the entire SoLo ecosystem, using agents as the workforce and your judgment as the control layer. This is a builder-operator role for someone who gets more done through agents than most teams do through headcount.

What You'll Own

Turn transaction and behavioral data from SoLo Score, SoLo Wallet, SoLo Marketplace, Borrow, and Lend into signals the business can act on. Keep lending risk and fraud detection sharp in real time. Design the workflows, prompts, guardrails, and evaluation standards that let agents run production analysis, model monitoring, pipeline maintenance, and anomaly detection at scale. Own data quality, governance, and reliability end to end. Translate ambiguous business questions into clear, defensible answers for leadership.

Build and refine the evaluation harnesses that keep agent output accurate and auditable. Monitor SoLo Score performance, default and delinquency trends, and fraud signals, intervening when human judgment has to lead. Stand up dashboards and BI that give the team a live view of marketplace health. Partner with product and risk to ship data-informed decisions fast.

What You'll Do Day-to-Day

  • Orchestrate agents across the full data lifecycle, from ingestion and pipeline health to modeling and reporting.

  • Build and refine the evaluation harnesses that keep agent output accurate and auditable.

  • Monitor SoLo Score performance, default and delinquency trends and fraud signals, intervening when human judgment has to lead.

  • Stand up dashboards and BI that give the team a live view of marketplace health.

  • Partner with product and risk to ship data-informed decisions fast.

You're a Great Fit if You've Got

  • Deep fluency in the modern data stack – SQL, Python, warehousing, orchestration, BI tooling.

  • Hands-on experience directing AI agents or LLM-based workflows in production, not just experimenting with them.

  • Strong grounding in risk and fraud analytics, ideally in fintech, lending, or payments. Sound judgment on when to automate and when to step in.

  • Comfort operating with high autonomy and full ownership.

You're an All Star Fit if You've Got

  • Experience with credit scoring or alternative underwriting.

  • Background in consumer fintech or marketplaces. Used to a high-pace, high accountability environment.

  • Track record of building evaluation or observability systems for ML or agent pipelines.

Our Benefits

  • Remote Workplace

  • Unlimited Vacation Policy

  • Full Healthcare Benefits

  • 401K Offered