Requirements:

• 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 masters 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
• Childbirth Allowance
• Employee Assistance Program (EAP)
• Vacation and Travel Allowance