AI Engineer — Remote, Flexible Hours, High-Impact Learning

Energy Innovation Corp

Springfield (OR)

Remote

USD 83,000 - 126,000

Full time

14 days+

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Job summary

Audi in Springfield is seeking an AI Engineer to translate Continuous Learning metrics into actionable dashboards and keep schemas backward-compatible as we scale. The role blends data science with production engineering, requiring Deep Learning, Regression Analysis, and TensorFlow expertise, plus the ability to defend recommendations with stakeholders while ensuring uptime.

We offer a competitive salary in the $83,000 to $126,000 range with a flexible remote schedule and a supportive mentor.

Qualifications

  • Experience applying Deep Learning and regression analysis to real-world data.
  • Ability to defend recommendations and communicate clearly.
  • Experience with TensorFlow and model deployment in production.

Responsibilities

  • Translate Continuous Learning metrics into a daily leadership chart.
  • Keep Continuous Learning schemas backward-compatible to avoid breaking upgrades.
  • Defend Audi uptime and handle the 2 a.m. paging for Springfield.
  • Configure and manage infrastructure as code across staging and production.
  • Reproduce and fix Continuous Learning outages for future launches.
  • Address Springfield launch issues and ensure smooth operations.
  • Translate field reports into reliable, lasting fixes.
  • Collaborate with cross-functional teams to ensure quality releases.

Skills

Deep Learning
Regression Analysis
TensorFlow

Tools

Infrastructure as Code

Job description

Audi in Springfield is seeking an AI Engineer to translate Continuous Learning metrics into actionable dashboards and keep schemas backward-compatible as we scale. The role blends data science with production engineering, requiring Deep Learning, Regression Analysis, and TensorFlow expertise, plus the ability to defend recommendations with stakeholders while ensuring uptime.

We offer a competitive salary in the $83,000 to $126,000 range with a flexible remote schedule and a supportive mentor.

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