Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
Advanced knowledge of SQL and Data Modeling
Experience with GenAI (prompt engineering & optimization, API engineering)
Experience in Machine Learning/ Data Science (e.g. ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building model pipelines, using Machine Learning tools/libraries/frameworks)
Experience with language modeling (e.g. transformers, HuggingFace, Named Entity Recognition, text cleaning)
Experience in experiment design (power analysis and hypothesis testing)
Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
Demonstrated capacity to clearly and concisely communicate complex technical, problems and propose iterative solutions
Experience owning a feature from concept to production, including proposal, discussion and execution
Self-motivated and self-managed with strong organizational skills
Nice to Have:
Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
A master’s degree in computer science, mathematics, statistics, or other quantitative fields
Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
Background in healthcare or insurance
What we offer:
Remote Work Options
Opportunity to Join a Team of Senior Professionals
Comprehensive Health Insurance
Flexible Benefits Program
Sport and Entertainment Perks
Support for Seminars, Conferences, Trainings, and Certifications
By enabling them, you help us to develop and deliver better services in the way that's most convenient for you. For information and settings, see our Cookie Policy.
Elevate
Submit your application
Fully Remote
Submit your application