Overview
Consultant to develop a clean, reproducible codebase for data processing and modeling, including a trained and validated ML model for STR classification and user interface components.
Key Responsibilities
- Design logical Analytical Base Table (ABT).
- Develop ETL scripts for ABT creation.
- Implement data cleaning and transformation pipelines.
- Conduct exploratory data analysis (EDA).
- Build and validate supervised ML models.
- Implement model interpretability tools.
- Develop back-end with approved algorithmic logic.
- Develop front end.
- Conduct model testing and performance evaluation.
- Run minimum viable product (MVP) with an FIU.
- Document codebase, ABT schema, feature engineering logic, and user guides.
Required Experience
Seven years of overall experience in artificial intelligence, machine learning, predictive models, graph analytics, Python, SQL, Kubernetes, Microservices, Asana, predictive modelling, forecasting, NLP.
Qualifications
Advanced university degree (Master’s degree or equivalent) in computer science or related field is required. A first-level university degree in similar fields in combination with 2 years of qualifying experience may be accepted in lieu of the advanced university degree is required.