Lead Cognitive/Machine Learning Professional - MLP

Description

Humana is looking for a Lead Cognitive/Machine Learning Professional to join our Fortune #40, Best Places to Work organization and help us make a difference as we strive to help our members achieve their best health! You will have the opportunity to work on challenging Machine Learning and AI projects with the goal to enhance the daily life of our members.

Responsibilities

As a Lead Cognitive/Machine Learning Professional, you might be in charge of a small team of engineers. You will collaborate with data scientists, analysts, and business and IT teams to design, implement, and launch Machine Learning and AI services using Python, PySpark, Azure services, Databricks, Terraform, and other open-source software. You are expected to lead by example, develop plans, designs, code, and documentation, and carry out code reviews, testing, and debugging. You will promote and implement best practices in our data science community with automated, repeatable data pipelines.

Some examples of how we enhance capacities to Humana’s Machine Learning Platform include:

• Creating templates for data scientists, applying cutting-edge modeling techniques
• Establishing a Feature Store with tens of thousands of features available for use in predictive models
• Defining monitoring, auditing, data lineage, and dependency tracking for data pipelines to enhance quality
• Incorporating ethical AI bias monitoring and drift analysis into modeling processing
• Standardizing the definitions of clinical, financial, and actuarial features for company-wide use

Engineering Philosophy:

• Build and deploy ML models on Azure, adhering to best security practices, and utilizing Azure services
• Understand the best practices for efficient predictive models, including cluster management, and algorithms, and promote these amongst Humana Data Scientists
• Flourish in a fast-paced agile environment, closely interacting with business analysts, software engineers, machine learning scientists, data engineers, and data scientists
• Mentor junior team members, helping to grow and mature the overall skillset of the team