Cognitive/Machine Learning Professional

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

Humana is seeking a Cognitive/Machine Learning Professional 2 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.

In this MLOps role, you will collaborate with data scientists, analysts, business and IT teams to design, implement, and deploy Machine Learning and Artificial Intelligence (AI) services using Python, PySpark, Azure services, Databricks, Terraform, and other open-source software. 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

• 1+ years of experience working on cloud platforms 

• 1+ years of experience with Machine Learning and AI 

• 1+ 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

• Master's degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field

• 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

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.  That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

• Work-Life Balance

• Generous PTO package

• Health benefits effective day 1

• Annual Incentive Plan

• 401K - Excellent company match

• Well-being program 

• Paid Volunteer Time Off

• Student Loan Refinancing

If you share our passion for helping people, we likely have the right place for you at Humana.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay decisions will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

 

$95,300 - $131,200 per year

 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About us
 

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of  Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of  Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.