ob Functions:
Work in an Agile environment to deliver innovative ML solutions in healthcare space. Be part of the team that owns the end to end ML ops lifecycle for ML models.
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 design best practices to model development lifecycle.
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 model deployment and operationalization in cloud.
Qualifications
Advanced degree (PHD, MS) in relevant field
4+ years of experience in building, training and deployment of models
Strong experience with ML frameworks such as TensorFlow, Keras, PyTorch etc
Strong proficiency in Python
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
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 old adult patients and to transition to a sustainable and predictable, long-term business model.
