Machine Learning Engineer- Healthcare Leader

Remote- Boston, MA · Job # 9028RK

Lead the Way to Improving Healthcare Outcomes in 2023!

Your Mission:

  • 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.  
  • Lead by example, to develop plans, designs, code, and documentation, and to perform code reviews, testing, and debugging.  
  • Direct and maintain best practices within the data science community with automated, repeatable data pipelines. 
  • Create templates for data scientists, embracing leading-edge modeling techniques 
  • Establish a Feature Store with tens of thousands of features available to use in predictive models 
  • Define monitoring, auditing, data lineage, and dependency tracking for data pipelines to improve quality 
  • Integrate ethical AI bias monitoring and drift analysis into modelling processing 
  • Standardize the definitions of clinical, financial, and actuarial features for use across the business
  • 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 Skills/Experience:

  • 5+ years exp as ML Engineer with significant Python experience
  • Experience with Cloud platforms  
  • Experience deploying models
  • Experience with Pandas/Pyspark in work environment or via self-study
  • Solid knowledge of data structures and algorithms 
  • Ability to learn new technologies and comprehend unfamiliar data domains and business processes quickly 
  • BS in Computer Science or related field (potential academic foundations of interest-Mechanical/Electrical engineer, Physics, Math, Statistics as a minor.

 

Areas of Interest to share (not required):   

  • Open-source contributions and portfolio of shipped code at GitHub 
  • Familiarity with Healthcare industry
  • Sample projects of innovation with ML/AI/NLP, i. e.; Kaggle competitions and Hackathons 
Apply For this Position
Create an Account

Track your jobs and take advantage of one click applying by creating an account.

Register Now
Let Us Search

Want us to do the work for you? Submit your resume and we'll find a job that's a perfect match for you!

Submit Resume