Lead AI/ML Applied Scientist

Primary Responsibilities:
Develop novel AI approaches for healthcare using both structured and unstructured data
Build and test deep learning and traditional ML models in distributed computing environments
Design and plan experiments, conduct statistical analysis and create data visualizations
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs
Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards
Develop code and model documentation, patents and publications in scientific conferences and journals
Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions
Stay up to date with latest technologies and literature

Required Qualifications:
PhD in Statistics, Mathematics, Computer Science or related field
5+ years of AI/ML experience (LLM, NLP)
5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow
Proven publication track record in top ML/NLP conferences/journals

Preferred Qualifications:
Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification
Experience with distributed computing approaches such as Spark
Experience with Snowflake and other relational databases
Experience working on collaborative software projects using GitHub
Proven solid technical communication skills

Skills Required
PhD in Statistics, Mathematics, Computer Science or related field
5+ years of AI/ML experience (LLM, NLP)
5+ years of experience with Python, classical ML methods and deep learning
Proven publication track record in top ML/NLP conferences/journals