Senior AI/ML Scientist — Real-Time Forecasting & Geospatial

Prescient Edge; Florida; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Healthcare benefits

Retirement plan

Career development

Job summary

Prescient Edge is seeking a Senior AI/ML Engineer to design and deploy advanced machine learning models for forecasting, risk assessment, and decision support within a mission-critical environment.

The role emphasizes data provenance, model explainability, bias mitigation, and integration of structured, unstructured, and geospatial data into production systems for real-time analytics.

Qualifications

• Master’s degree or nine years of equivalent AI/ML experience.
• Experience building and deploying ML models in production environments.

Responsibilities

• Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
• Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for governance compliance.
• Submit the Data Provenance & Lineage Report summarizing workflows, feature engineering, and audit compliance.

Skills

ML modeling

Deep learning

Data wrangling

Geospatial data

Model explainability

Bias mitigation

Python

Production deployment

Real-time analytics

Communication of results

Education

Master’s degree in Data Science/ML/Statistics or related field

9 years of AI/ML equivalent experience

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Databricks

Apache Spark

Job description

Prescient Edge is seeking a Senior AI/ML Engineer to design and deploy advanced machine learning models for forecasting, risk assessment, and decision support within a mission-critical environment.

The role emphasizes data provenance, model explainability, bias mitigation, and integration of structured, unstructured, and geospatial data into production systems for real-time analytics.