Become a part of our caring community and help us put health first
 

Humana is seeking a Lead Cognitive/Machine Learning Professional to join our Fortune #40, Best Places to Work company and help us make a difference as we 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 improve the everyday life of our members. This role is not just a job; it's an opportunity to excel in a thriving environment where you can truly make a difference. Ready to embark on this transformative journey with us? Apply now and redefine the future of healthcare!

As a Lead Cognitive/Machine Learning Professional, you may direct a small team of engineers.  In this MLOps role, you will collaborate with data scientists, analysts, business and IT teams to design, implement, and deploy Machine Learning and AI services using Python, PySpark, Azure services, Databricks, Terraform, and other open-source software.  You will be expected to lead by example, to develop plans, designs, code, and documentation, and to perform code reviews, testing, and debugging.  You will embrace and enforce best practices in our data science community with automated, repeatable data pipelines. 

Some examples of how we add capabilities to Humana’s Machine Learning Platform include: 

• Creating templates for data scientists, embracing leading-edge modeling techniques 

• Establishing a Feature Store with tens of thousands of features available to use in predictive models 

• Defining monitoring, auditing, data lineage, and dependency tracking for data pipelines to improve quality 

• Integrating ethical AI bias monitoring and drift analysis into modelling processing 

• Standardizing the definitions of clinical, financial, and actuarial features for use across the business 

Engineering Philosophy:

• Build and deploy ML models on Azure, using best practices in security, and Azure services 

• Understand best practices for effective predictive models, including cluster management and algorithms, and evangelize with Humana Data Scientists 

• Thrive 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, to help grow and mature the overall skillset of the team 

Use your skills to make an impact
 

Required Qualifications

• Bachelor's degree in Computer Science or related field or equivalent experience

• 3+ years of experience working on cloud platforms 

• 5+ years of experience with Machine Learning and AI 

• 5+ years of software development experience, with significant Python experience 

• Solid knowledge of data structures and algorithms 

• Ability to learn new technologies and comprehend unfamiliar data domains and business processes quickly 

Preferred Qualifications

• Open-source contributions and portfolio of shipped code at GitHub 

• Familiar with healthcare applications, terminologies, and data 

• Passion projects with ML/AI/NLP, for example Kaggle competitions and Hackathons 

• Experience with Generative AI, GCP, and/or Vertex AI

• Experience working in a MLOps role/team

• Experience with Kubernetes

Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it’s important to us too.