AI Engineer

Responsibilities

• Work closely with business stakeholders to rapidly develop, demonstrate, and refine AI solutions.
• Take a hands-on engineering approach focused on building rather than advising.
• Work directly with the client to translate business problems into AI-enabled prototypes and production-ready solutions.

Required Skills and Qualifications

• Experience with several of the following technologies and concepts:
  • Databricks
  • Azure AI Foundry
  • GitHub
  • Python
  • Large Language Models (LLMs)
  • AI/ML solution development
  • Machine Learning model development and deployment
  • Forecasting models (Prophet preferred)
  • Linear Optimization
  • Mixed Integer Linear Programming (MILP)
• Ability to demonstrate experience building AI applications, developing prototypes, integrating data platforms, and working directly with business stakeholders to solve complex problems.