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
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. 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
If you share our passion for helping people, we likely have the right place for you at Humana.
Work at Home Guidance
To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested
Satellite, cellular and microwave connection can be used only if approved by leadership
Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
SSN Alert Statement
Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website.
Scheduled Weekly Hours
40Pay 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 will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
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.
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 veteran status. 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.