Senior Data & ML Engineer

Fluency Digital, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Fluency Digital, Inc. is building an AI-powered procurement operating system for consumer packaged goods. The role focuses on designing data foundations and machine learning pipelines to transform raw supply data into automated, intelligent purchasing decisions.

You will serve as the technical owner in a fast-moving, on-site team. The candidate should bring 7+ years in data/ML infrastructure, Python fluency, and production deployment experience in B2B settings, with comfort working in an

Qualifications

• 7+ years of professional engineering experience building data and ML infrastructure.
• Fluency in Python, with working proficiency in NodeJS and TypeScript.
• Proven ability to design and deploy machine learning pipelines in production B2B environments.
• Comfort operating as a primary technical owner in an early-stage, on-site setting.
• Experience handling complex, messy datasets common to logistics or consumer industries.
• Must be based in the United States.

Skills

7+ years engineering

Python

NodeJS

TypeScript

ML pipelines

Production deployments

Tools

Python

NodeJS

TypeScript

Job description

Building an AI-powered procurement operating system for consumer packaged goods.

Consumer goods supply chains run on outdated spreadsheets and siloed intuition, leaving procurement teams to navigate volatile markets blind. We need an engineer to architect the data foundations and machine learning pipelines that transform raw supply data into automated, intelligent purchasing decisions. You will design the core infrastructure from the ground up, bridging the gap between raw industry data and actionable AI models in a tightly focused, recently funded team.

What we’re looking for:

• 7+ years of professional engineering experience building data and ML infrastructure
• Fluency in Python, with working proficiency in NodeJS and TypeScript
• Proven ability to design and deploy machine learning pipelines in production B2B environments
• Comfort operating as a primary technical owner in an early-stage, on-site setting
• Experience handling complex, messy datasets common to logistics or consumer industries
• Must be based in the United States.

Tech stack: Python, NodeJS, TypeScript