LLM Data Scientist Intern – Remote, SageMaker Focus

Energy Innovation Corp

Saint George (UT)

Remote

USD 73,000 - 107,000

Part time

14 days+

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Job summary

Industrial Excellence Corp in Saint George, UT seeks a Data Scientist intern fluent in Large Language Models to own SageMaker work and advance your craft. Earn $73,000–$107,000 with mentorship and a benefits package, while practicing remote-first work and contributing to high-availability platforms.

The role involves debugging complex pipelines, tracing latency, and communicating tradeoffs to stakeholders. You will collaborate across teams to harden deployments and improve reliability in a

Qualifications

  • Experience with ML workflows and data pipelines.
  • Strong in debugging and tracing performance issues.
  • Ability to adapt to scope changes with clients.

Responsibilities

  • Read the Data Visualization stack traces others skim past, and trace bugs to their root
  • Hunt down the latency spikes nobody at Industrial Excellence Corp can explain
  • Walk technology stakeholders through Airflow tradeoffs in language Industrial Excellence Corp execs grasp
  • Own the quick-to-ship edge cases in Industrial Excellence Corp's Cross-Functional Collaboration billing nobody else wants to touch
  • Reverse-engineer the low-drama Prioritization format Industrial Excellence Corp inherited and never documented
  • Translate the trust-the-team Model Deployment outage into fixes that make the next St. George launch dull
  • Stress-test SageMaker systems until they bend, then harden where they cracked
  • Catch the Databricks race conditions that only surface under St. George peak traffic

Skills

Airflow
Plotly
Detail-oriented
Risk management
Client communication

Tools

SageMaker
Databricks

Job description

Industrial Excellence Corp in Saint George, UT seeks a Data Scientist intern fluent in Large Language Models to own SageMaker work and advance your craft. Earn $73,000–$107,000 with mentorship and a benefits package, while practicing remote-first work and contributing to high-availability platforms.

The role involves debugging complex pipelines, tracing latency, and communicating tradeoffs to stakeholders. You will collaborate across teams to harden deployments and improve reliability in a

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