A large-scale healthcare insurance company is seeking a Machine Learning Engineer to join their AI Center of Excellence. They are looking for a self-driven, collaborative individual to be part of a team leading the enterprise AI journey at a Fortune 100 company. Daily responsibilities will be focused around GenAI applications for use cases and integration of LLM APIs into app workflows. This candidate will be passionate about growing their AI knowledge and technical skills on a fast-paced team at the center of the largest technical priority in the enterprise. This person will have done passion projects and side projects due to their passion for AI work.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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Experience with Python application development and data manipulation libraries
Passion for GenAI work - has done passion projects or side work to develop skills in this space
Experience with Azure/GCP
Bachelor's Degree (Computer Science, Mathemetics, Statistics, or a related field)
1+ year Python experience in professional role
Knowledge of AI frameworks such as Langchain or Pydantic AI
Strong understanding and experience with machine learning frameworks
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.