---
title: 'Machine Learning Engineer - Risk Scoring & Model Monitoring at Chiri'
canonical: 'https://feeny.ai/job/machine-learning-engineer-risk-scoring-model-monitoring-chiri-south-j7dmd51vhnx2'
type: 'job'
last_seen: '2026-11-09'
---

# Machine Learning Engineer - Risk Scoring & Model Monitoring at Chiri

- **Company:** Chiri
- **Location:** South, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.gem.com/chiri/am9icG9zdDo2iorNc1NB9yipKXRK9H2L

## Job description

## Why Chiri

Chiri collapses fragmented software into one governed operating layer for mid-sized businesses: companies with valuable workflows and real urgency, but no internal AI organization to take a use case to production. We combine our platform with forward-deployed expertise to connect customers' existing systems, build what they need, and operate it in production. Increasingly, buyers are asking ChatGPT, Perplexity, Gemini, Claude, and other AI systems what they should use. Chiri must be one of their top answers.

## Role Overview

We're looking for a Machine Learning Engineer to develop, evaluate, and maintain predictive models for a healthcare and pharmacy-finance platform. The platform will initially use deterministic business rules and historical data. Your role will be to determine where machine learning adds measurable predictive value, then develop reliable models that improve decision accuracy without compromising explainability or operational control. This role requires deep expertise in gradient boosting, statistical evaluation, model drift, data leakage prevention, and production model monitoring.

## Key Responsibilities

- Predictive Modeling: Develop and evaluate models using XGBoost, LightGBM, and CatBoost for risk scoring, classification, and related decision support.
- Baseline Evaluation: Compare ML performance against deterministic rules and historical benchmarks to establish whether predictive models deliver meaningful improvements.
- Drift Monitoring: Detect changes in input distributions, prediction behavior, and model accuracy, with alerts when performance falls below defined thresholds.
- Retraining & Feedback: Build feedback loops incorporating newly available outcome data, with appropriate retraining and validation procedures.
- Leakage Prevention: Identify and prevent target leakage, temporal leakage, proxy leakage, and unintended bias in model features.
- Production Reliability: Implement reproducible model pipelines, monitoring, performance reporting, explainability, and controlled model deployment.

Required Skills and Experience

- Strong production machine learning experience using Python.
- Hands-on expertise with XGBoost, LightGBM, CatBoost, or comparable gradient-boosted tree frameworks.
- Deep understanding of statistics, feature engineering, model evaluation, calibration, and temporal validation.
- Experience detecting and managing data drift, concept drift, model degradation, and retraining triggers.
- Proven experience preventing data leakage and identifying proxy variables that compromise model validity.
- Experience developing production ML pipelines with automated monitoring, testing, and reproducibility.
- Ability to explain model performance, limitations, and business implications to technical and nontechnical stakeholders.

## Preferred Qualifications

- Experience with healthcare, pharmacy, financial risk, credit scoring, or claims analytics.
- Experience with delayed outcome labels and historical transaction datasets.
- Experience deploying interpretable models in regulated environments.
- Experience combining deterministic rules with probabilistic models.

## What We Offer

The opportunity to help establish a rigorous, measurable approach to machine learning in a high-stakes business environment.

## About Chiri

## Company Overview
- **One-liner**: Chiri is an AI orchestration platform that helps companies build governed, scalable AI-powered workflows alongside their human teams, positioning itself as an "AI Sherpa" for enterprises transitioning from AI-nascent to AI-native.
- **Entity Type**: Private (Seed/Early Stage based on headcount and funding indicators)
- **Headquarters**: United States (specific city not publicly listed)
- **Founded**: 2025
- **Founders**: Not publicly disclosed

## Core Business
- **Primary Industry**: Artificial Intelligence / Enterprise Software / AI Orchestration & Governance
- **Target Customers**: B2B, mid-market to enterprise companies (e.g., B2B security firms, operations-heavy businesses)
- **Mission/Purpose**: To lead companies safely and successfully from AI-nascent to AI-native, ensuring no business is left behind by AI.

## Products & Services
- **ChiriBrain**: The core governance and orchestration layer that scales AI workflows, connects across 2,000+ tools and 350+ AI models, and provides cost controls, audit trails, and confidence thresholds. It acts as a "system of action" on top of existing infrastructure.
- **Forward-Deployed Engineering Services**: Chiri sends in engineers to learn how a client's team works, map high-value workflows, and build custom AI-powered systems. This service precedes the software deployment.
- **AI Agent Workflows**: Pre-built and custom AI agents that operate in existing tools like Slack, Gmail, and Teams, automating tasks such as inventory management, GTM pipeline enrichment, and finance reconciliation.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: 11 total employees (as of 2025); reports client outcomes such as $60K/mo saved (6x faster AI adoption), $450K/yr savings (3x faster AI optimization), and $900K saved (4x faster AI software engineering).
- **Notable Investors/Partners**: Not publicly disclosed
- **Growth Signals**: Founded in 2025 and already reports significant client savings; actively hiring across multiple engineering roles (Full Stack, Mobile, QA, Data Platform); operates in 18 locations with a hybrid work model.

## Competitive Advantages
- **"Services + Software" Model**: Unlike pure-play AI software vendors, Chiri starts with human engineers who embed with client teams, ensuring the AI foundation is custom-built for actual workflows before deploying the platform.
- **Enterprise-Grade Governance**: Provides 100% audited workflows, cost controls, and a governance layer designed for scale from day one, addressing a key pain point for enterprises wary of ungoverned AI.
- **Integration Depth**: Connects to 2,000+ tools and 350+ AI models, meaning clients do not need to rip out existing infrastructure.
- **Proven ROI**: Publishes concrete client case studies with dollar amounts and time savings, demonstrating measurable value.

## Strategic Focus
- **Current Priorities**: Scaling the forward-deployed engineering team; building out the ChiriBrain platform for broader enterprise adoption; expanding the number of pre-built agent workflows; and maintaining a "system-led approach" that combines human expertise with AI agents.
- **Growth Direction**: Moving from bespoke client engagements to a repeatable, scalable platform that enterprises can run independently after initial setup.

## Why Work Here
- **Culture**: Described as ambitious, with a focus on shaping the future of Human+AI teams. The company emphasizes a "Sherpa" mentality—carrying the weight for clients and not leaving them at base camp.
- **Remote/Hybrid Policy**: Hybrid workspace; employees engage in a combination of remote and on-site work. Typical on-site time is not specified but roles are listed as remote across 18-20 locations.
- **Notable Perks/Engineering Culture**: Engineers own features end-to-end and work directly with clients to deliver measurable business outcomes. Roles emphasize backend focus, API design, AI-powered features, and collaboration across product and client teams. Open roles include Full Stack, Mobile (iOS/Flutter), QA, and Data Platform engineers.

## Sources
1. [chiri.ai](https://chiri.ai/)
2. [chiri.ai/careers](https://chiri.ai/careers)
3. [builtin.com/company/chiri](https://builtin.com/company/chiri)
4. [linkedin.com/company/chiriai](https://www.linkedin.com/company/chiriai)
5. [builtin.com/company/chiri/jobs](https://builtin.com/company/chiri/jobs)

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