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AI, and Machine Learning & Large Language Models Engineer

Job Title: AI, and Machine Learning & Large Language Models Engineer

 

Organization: Helpful Engineering is a global engineering community that co-develops technology solutions with industry to create positive social impacts, aligned with the UN's Sustainable Development Goals. Our mission is to revolutionize various verticals through technology innovation. Learn more about our vision at www.helpfulengineering.org.

 

Role Overview: We are looking for someone to engage on a leading industry opportunity to develop AI based products and solutions in the healthcare space. It offers the chance to work with and formulate Machine Learning (ML) and  Large Language Models (LLMs) and work on cutting-edge, industry driven projects. This is a paid role that has the potential to  transition into a full time opportunity 

 

Key Responsibilities:

  • Engage in the latest research and advancements in Large Language Models in the healthcare sector.
  • Collaborate with others on understanding requirements, refining models, to data handling and building robust solutions.
  • Design, deploy, and manage software that integrates machine learning (LLM, computer vision, and data science models) — from conceptualization through lifecycle management.
  • Regularly update project stakeholders on findings and progress.

 

Preferred Skills:

  • 5 years + in working with AI, ML, LLMs, and data applications. Industry experience preferred. 
  • Solid programming skills, particularly in Python.
  • Completed Computer Science, Data Science, Electrical Engineering, Sciences, or a related degree. 
  • Candidates coming from industry, as well as graduate level candidates considered.
  • Strong  analytical and problem-solving skills.
  • Strong communication skills and the ability to work in team settings.

If you're ready to develop real-world applications and contribute to defining AI applications in the healthcare space, we encourage you to apply.!


Benefits:

  • Flexible, virtual work setting. Fully virtual.
  • Mentorship from experienced professionals.
  • Real-world applications with leading entities in the healthcare space.