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AI Engineer Devi Technologies

Job in Town of Texas, Marathon County, Wisconsin, USA
Listing for: Devitechs
Full Time position
Listed on 2026-10-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 95000 - 135000 USD Yearly USD 95000.00 135000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Design, develop, and deploy AI and Machine Learning solutions for business applications.
  • Build predictive models using large datasets and advanced algorithms.
  • Develop and optimize Generative AI and Large Language Model (LLM) applications.
  • Collaborate with software developers to integrate AI solutions into products.
  • Perform data preprocessing, cleansing, and feature engineering.
  • Train, test, and validate machine learning models for accuracy and scalability.
  • Work with cloud-based AI platforms and services.
  • Develop AI-powered chatbots, recommendation systems, and automation tools.
  • Monitor model performance and implement continuous improvements.
  • Conduct research on emerging AI technologies and frameworks.
  • Create technical documentation and model deployment procedures.
  • Ensure AI solutions comply with security and privacy standards.
  • Implement MLOps practices for model deployment and maintenance.
  • Collaborate with stakeholders to identify AI-driven business opportunities.
  • Troubleshoot and resolve AI model performance issues.
  • Participate in architecture discussions and technical planning.
  • Support innovation initiatives involving machine learning and automation.
  • Mentor junior engineers and share best practices.
  • Stay updated on industry trends and technological advancements.
  • Contribute to strategic AI roadmap development.
Requirements
  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
  • Strong experience with Python, Tensor Flow, PyTorch, and Machine Learning frameworks.
  • Knowledge of LLMs, NLP, Computer Vision, and Generative AI technologies.
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