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Wabash Valley Power Alliance Logo

Artificial Intelligence/Machine Learning Engineer

Wabash Valley Power Alliance

Salary not specified
Aug 21, 2025
Indianapolis, IN, US
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Wabash Valley Power Alliance is looking to automate and optimize workflows and processes while limiting business risks by implementing artificial intelligence (AI)/machine learning (ML) systems.

Requirements

  • Three to five years prior artificial intelligence/machine learning or data analysis experience
  • Excellent technology proficiency with a strong commitment to continuous learning
  • Experience with data analysis tools such as R and Python
  • Any system, network, or cybersecurity related experience or certifications are a plus
  • Experience working with data rich problems in research or professional projects is a plus
  • Graduate degree in data science, computational science, or artificial intelligence is a plus

Responsibilities

  • Design, implement, administer, monitor, and maintain artificial intelligence/machine learning systems
  • Design, analyze, and maintain system algorithms including data models, natural language models, and machine learning models
  • Train and evaluate artificial intelligence system to ensure systems remain accurate with limited hallucinations
  • Perform complex analysis on large data sets and communicate meaningful intelligence to Technical Service Leadership
  • Research, prototype, and recommend new technology platforms or systems to improve business workflows and reduce risks
  • Develop and maintain computer code need for artificial intelligence system and business automation systems

Other

  • Maintain compliance with all company policies and procedures
  • Present artificial intelligence and data finding to technical and non-technical stakeholders
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices
  • Ability to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service
  • Bachelor’s Degree in quantitative science, engineering, or other STEM field