Offer summary

Qualifications:

Advanced knowledge of Python and SQL, including libraries like Pandas and ScikitLearn., Experience in Machine Learning and Data Science, particularly with model training and feature engineering., Proficiency in communication, both written and verbal, suitable for remote work environments., A master's degree in a quantitative field is preferred, along with experience in GenAI and language modeling..

Key responsabilities:

Design and implement machine learning models and pipelines from concept to production.

Communicate complex technical problems and propose iterative solutions to stakeholders.

Conduct experiment design, including power analysis and hypothesis testing.

Collaborate with team members and manage features throughout their lifecycle, ensuring timely execution.

Job description

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: