The opportunity timeline

• Overview

  Retail Advantage Group is hiring a Machine Learning Engineer in Eau Claire, WI.

• Role description

  We engineer high-availability platforms, and we are searching for a Machine Learning Engineer fluent in NumPy to keep them humming. Read it as a $95,000 - $138,000 invitation to own technology work in Eau Claire, backed by a senior title and 7 years of trust.

  Key Responsibilities

  • Sit with technology users in Eau Claire to learn what the Computer Vision tool really needs
  • Reverse-engineer the ruthlessly-focused MLOps format Retail Advantage Group inherited and never documented
  • Investigate, diagnose, and fix bugs reported by users and monitoring tools
  • Build responsive, accessible front-end interfaces with SQL
  • Hunt down the latency spikes nobody at Retail Advantage Group can explain
  • Evaluate and recommend new tools, frameworks, and Databricks libraries

  What You'll Bring

  • Demonstrated comfort presenting to senior leadership
  • Hands-on familiarity with Natural Language Processing, sharpened by Large Language Models side projects
  • The communication discipline to over-share early and trim later
  • 5+ years navigating the politics that technology work attracts
  • The kind of reliability that earns you the hard assignments
  • Hands-on technology experience that holds up to follow-up questions
  • Familiarity with Hugging Face and related tools or frameworks

  Somewhere between a startup and an institution, Retail Advantage Group has spent years perfecting Databricks for clients all over Eau Claire, WI. Our Eau Claire office prizes the quiet contributor who makes everyone around them measurably better.

  Expect a $95,000 - $138,000 base, a growth path with milestones, a mentor who shows up, and benefits that make staying at Retail Advantage Group easy.

  Updated on the spot, the Retail Advantage Group hiring team is reviewing in real time.

  Whether SQL or MLOps is your strong suit, this Machine Learning Engineer seat has room for both.

• Required skills

  • Computer Vision
  • Hugging Face
  • NumPy
  • MLOps
  • XGBoost
  • Large Language Models
  • Matplotlib
  • Natural Language Processing
  • SQL
  • Databricks
  • Self-Motivation
  • Written Communication
  • Active Listening
  • Attention Management

• Benefits & perks

  • Phased retirement options
  • Paid jury and witness duty
  • Assistive technology support
  • Matching gift program
  • Inclusive benefits for LGBTQ+ employees
  • Emergency savings program
  • Annual physical and health screenings
  • Car Allowance
  • Annual salary reviews
  • Flexible Spending Account (FSA)
  • Educational Assistance
  • Summer Picnic
  • Paid business travel
  • Annual flu and wellness fairs

• Apply before 2026-08-08

  Submit your application for this Hybrid technology position.