Data & AI Engineering Intern: Build Pipelines & Deploy ML

Fervo; Georgia; On-site; USD 34,000 - 48,000; Full time

Job summary

Fervo Energy offers a Data & AI Engineer Intern role where you will design, build, and maintain data pipelines to power analytics and ML initiatives. You will work with scientists and engineers to productionize models and deliver measurable impact during the 12-week program.

You will present results to leadership and intern peers, gaining real-world experience in geothermal data infrastructure and AI tooling. This internship emphasizes ownership and practical outcomes.

Qualifications

• Rising Junior/Senior/Graduate student wrapping up within the next year, or PhD candidate.
• Pursuing a degree in Computer Science, Data Engineering, or a related technical field.
• Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership.
• Eagerness to learn, take initiative, and adapt quickly to new challenges.
• Proficiency in Python and SQL.

Responsibilities

• Build and maintain data pipelines and ETL processes.
• Support deployment and monitoring of machine learning models in production.
• Help design and maintain data infrastructure and architecture.
• Collaborate with data scientists to productionize models and analyses.

Skills

Communication

Adaptability

Eagerness to learn

Education

Pursuing CS/Data Eng degree

Tools

Python

SQL

AWS

Azure

Snowflake

Databricks

MLOps

Spark

Airflow

Job description

Fervo Energy offers a Data & AI Engineer Intern role where you will design, build, and maintain data pipelines to power analytics and ML initiatives. You will work with scientists and engineers to productionize models and deliver measurable impact during the 12-week program.

You will present results to leadership and intern peers, gaining real-world experience in geothermal data infrastructure and AI tooling. This internship emphasizes ownership and practical outcomes.