The role involves collaborating with development teams to refactor and wrap Data Scientist models into production-ready batch processing jobs
Job Summary
The role involves collaborating with development teams to refactor and wrap Data Scientist models into production-ready batch processing jobs.
Engineers will optimize compute resources to ensure models respond quickly while keeping AWS costs low and ensuring compliance with security standards.
This position operates within an innovation hub supporting generative AI, product development, and analytics across The Cigna Group's global health services.
Matching Summary
The role involves collaborating with development teams to refactor and wrap Data Scientist models into production-ready batch processing jobs.
Skills & Requirements
Must-have
4+ years operationalizing ML models
Python PySpark Spark Scala proficiency
AWS Azure Google Cloud solution architecting
Scikit-learn PyTorch Spark ML frameworks
Healthcare domain data feature engineering
Agile Scrum or Kanban team experience
Nice-to-have
Databricks platform experience
Gen AI LLM implementation skills
JavaScript R Ruby Perl scripting
AWS solution architecture certification
Data science ML certification from reputed institution
Key Requirements
11-13 years of Workforce Management experience
Degree in Computer Science or related field
Minimum 4 years in Agile teams
Minimum 4 years in cloud technology solution architecting
Minimum 4 years with Machine Learning frameworks
Minimum 4 years with healthcare domain data integration