AI/ML Engineer for Energy & Grid Innovation

Indiana Electric Cooperatives

Indianapolis (IN)

Hybrid

USD 110,000 - 145,000

Full time

14 days+
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Benefits offered by this job

Wellness program and on-site fitness
Continuing education funds
Flexible schedule
Casual dress
Generous vacation

Job summary

Wabash Valley Power Alliance is seeking an Artificial Intelligence/Machine Learning Engineer to design, implement, and support AI/ML systems across the organization. The role requires collaboration with multiple business units, member cooperatives, and partners to automate workflows and reduce risks.

This hybrid position combines on-site and remote workdays and focuses on advancing generative AI, NLP, and deep learning initiatives while educating staff on AI/ML tools and best practices.

Qualifications

  • Bachelor's degree in quantitative science, engineering, or STEM field.
  • 3–5 years AI/ML or data analysis experience.
  • Excellent verbal and written communication skills.
  • Ability to work independently and meet deadlines.

Responsibilities

  • Maintain compliance with all company policies and procedures.
  • Present AI/ML findings to technical and non-technical stakeholders.
  • Design, implement, administer, monitor, and maintain AI/ML systems.
  • Develop and implement AI models for predictive maintenance and load forecasting.
  • Educate end-users on AI/ML tools within the organization.

Skills

Communication
Independent work
Analytical thinking
Problem solving

Education

Bachelor's degree in STEM

Tools

Python
R

Job description

Wabash Valley Power Alliance is seeking an Artificial Intelligence/Machine Learning Engineer to design, implement, and support AI/ML systems across the organization. The role requires collaboration with multiple business units, member cooperatives, and partners to automate workflows and reduce risks.

This hybrid position combines on-site and remote workdays and focuses on advancing generative AI, NLP, and deep learning initiatives while educating staff on AI/ML tools and best practices.

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