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AI & ML Automation Intern

Envita Solutions

Salary not specified
Sep 3, 2025
Indianapolis, IN, US
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Envita Solutions is seeking to solve complex waste challenges and transform them into sustainable solutions through the use of AI and ML automation, aligning with their mission to foster a healthier planet.

Requirements

  • Coursework in both machine learning and automation systems preferred.
  • Academic or project-based experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Exposure to automation platforms (UiPath, Power Automate, or similar) and/or API-driven workflows.
  • Experience using generative AI models and prompt engineering techniques.
  • Proficiency in Python for both ML and automation scripting.
  • Strong understanding of AI/ML concepts and practical application in business contexts.
  • Ability to design low-code/no-code workflow automations.

Responsibilities

  • Generative AI Applications: Explore and apply generative AI to optimize knowledge management, document processing, and internal tools.
  • Workflow Automation: Design and implement automation solutions using RPA and low/no-code tools (e.g., Power Automate, UiPath, Zapier).
  • ML Applications: Fine-tune and evaluate machine learning models for tasks such as classification, forecasting, and anomaly detection.
  • Integration Development: Connect data systems and automate workflows using APIs and scripting.
  • Data Analysis & Preparation: Collect, clean, and analyze structured and unstructured datasets to support AI and automation initiatives.
  • Prototyping Solutions: Deliver proof-of-concept models and automation workflows that demonstrate measurable value.
  • Cross-Team Collaboration: Partner with technology and business transformation teams to identify automation and AI opportunities.

Other

  • Preferred High School or Equivalent.
  • Preferred junior or senior pursuing a Bachelor's Degree in Computer Science, Data Science, AI/ML, or a related field in progress.
  • Effective communicator, able to explain technical solutions to non-technical audiences.
  • Strong problem-solving skills to bridge technical models with business needs.
  • Continuous growth in alignment with the Company’s core values, competencies, and skills.