Job Functions:
Keep up to date, latest developments in ML space and incorporate these in our best practices
Help define the data science development workflows from coding and architecture best practices, data strategy, to ML training and Inference platforms
Work closely with internal and external stakeholders, both technical and non-technical and help translate deep ML knowledge to stakeholders.
Work closely with ML engineering/Infrastructure team to help define the vision of ML training and ML inference platforms running on Cloud
Mentor and grow Junior data scientists in the team on both DS modeling and software engineering skills
Qualifications
Advanced degree (PHD, MS) in relevant field
10+ years of experience in building, training and deployment of models
Prior experience in application of ML in Healthcare desired
Strong experience with ML frameworks such as TensorFlow, Keras, PyTorch etc
Strong proficiency in Python and Software Engineering best practices
Strong experience in both classical ML modeling approaches and Deep learning based model approaches
Deep NLP knowledge and AWS experience preferred
Experience collaborating with cross functional teams and stakeholders to evaluate new ML opportunities
Strong research/academic track record in ML/AI fields
agilon health is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care for seniors. The agilon health Total Care Model is powered by our purpose-built platform and enabled through a growing national network of like-minded physician partners. With agilon health, physicians are freed from the constraints of the transactional fee-for-service reimbursement model and are able to practice team-based, coordinated care to serve the individual needs of their senior patients and to transition to a sustainable and predictable, long-term business model.
