Applied AI & Data Engineer AI & Data Remote / in Atlanta

Nbound Inc.; Atlanta, Northern (GA, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Nbound Inc. in Atlanta builds intelligence behind service businesses, turning conversations, schedules, jobs, and outcomes into automation and models that improve daily work.

We are seeking a data-focused engineer to own data pipelines, evaluate ML workflows, and collaborate with engineering to deploy reliable, observable product features. You’ll work with Python and SQL, building models for receptionist workflows, lead qualification, scheduling, and operational recommendations while

Qualifications

• Strong Python and SQL skills with production data experience.
• Experience evaluating ML workflows with real user outcomes.
• Focus on model quality, latency, privacy, and cost.

Responsibilities

• Build data pipelines and evaluation systems around calls, leads, jobs, schedules, and payments.
• Develop and improve models for receptionist workflows, lead qualification, scheduling assistance, and operational recommendations.
• Create feedback loops so real outcomes improve the product over time.
• Work with engineering to put models into reliable, observable product workflows.
• Help define the data practices that make nbound’s models useful, safe, and defensible.

Skills

Python

SQL

Production data

ML systems

Job description

Build the intelligence behind nbound. You will help us turn the conversations, schedules, jobs, and outcomes created by service businesses into useful automation and models that improve the work without hiding how it works.

The opportunity

Own meaningful work for a product people rely on every day.

Work on problems that reach beyond the screen.

Build the intelligence behind nbound. You will help us turn the conversations, schedules, jobs, and outcomes created by service businesses into useful automation and models that improve the work without hiding how it works.

What you’ll own

• Build data pipelines and evaluation systems around calls, leads, jobs, schedules, and payments
• Develop and improve models for receptionist workflows, lead qualification, scheduling assistance, and operational recommendations
• Create feedback loops so real outcomes improve the product over time
• Work with engineering to put models into reliable, observable product workflows
• Help define the data practices that make nbound’s models useful, safe, and defensible

What will help you succeed

• Strong Python and SQL skills with experience working on production data or ML systems
• Experience evaluating LLM or machine learning workflows with real user outcomes
• A practical approach to model quality, latency, privacy, and cost
• Curiosity about how businesses operate in the physical world