What this role will be doing:

• ​Develop mission critical mathematical models and algorithms as well as the supporting documents for the AI/ML initiative.  
• ​Read, discuss, and analyze:  
  • ​Domain ontologies  
  • ​Data models/schemas  
  • ​Business problem statements  
  • ​Technical documentations and definitions  
• ​Estimate, prioritize, and plan the activities associated with analysis and model creation.  
• ​Review algorithms for accuracy, performance, and appropriateness.  
• ​Be a subject matter expert on the tools and techniques used to develop and deliver quality AI algorithms.  
• ​Where necessary, troubleshoot and correct field issues in concert with other functional teams identifying root cause and corrective action.  
• ​Conduct all business in accordance with Intradiem’s development and security policies and procedures.  
• ​All other duties as assigned.  

What this role needs to succeed:

• Requires 5+ years of experience in AI/ML Solution Development as outlined above. Enterprise experience preferred.  
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with an emphasis on AI/ML methods or equivalent work experience.  Master’s degree preferred.  
• Deep understanding of AI/ML technologies such as:  
  • Genetic Algorithms  
  • Quantitative Methods  
  • Linear Programming  
  • Non-Linear Programming  
  • Time Series Decomposition/Analysis  
  • Ontology Modeling  
  • Graph Theory  
• Familiarity and/or interest in technologies used in realizing an AI/ML solution on a modern computing platform such as:  
  • Programming languages (R, Python, etc.)  
  • Data mining tools  
  • Data presentation tools  
• Familiarity and/or interest in cloud related technologies such as:  
  • Kubernetes  
  • Docker  
• Ability/desire to research and understand the latest tools and technologies in the AI/ML space.  
• Experience with data pipelining, data platform, and data lake/warehouse technologies is desirable.  

This position is open to candidates located in the US or UK. As part of our team, you will be fully remote while working collaboratively with colleagues based in various locations while occasionally attending in-person meetings or events as needed.