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
Selfmotivated and selfmanaged 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
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