Role overview
- Onsite - US Army Garrison – Miami / SOUTHCOM HQ
- Potential travel up to 5-15% of the time
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 compliance with governance policies.
- Implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
- Provide Rough Order of Magnitude estimates before each analytic project detailing hours, compute costs, storage consumption, and infrastructure requirements.
- Conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows.
- Masters’s degree in Data Science, Machine Learning, Statistics, or nine (9) years of equivalent experience leading AI/ML model development and deployment.
- Demonstrated experience building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
- Demonstrated experience with Databricks, Apache Spark, or similar distributed data processing frameworks.
- Demonstrated experience with geospatial datasets and integration AI/ML solutions into mission-critical applications.
- Demonstrated proficiency in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
- Demonstrated experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications.
- Demonstrated capability to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
- Ability to manage and prioritize complex project tasks.
Preferred qualifications
- Google Professional Machine Learning Engineer, Microsoft Certified Azure Data Scientist Associate, or TensorFlow Developer Certification.
- Portuguese or Spanish language skills.
- Experience with government IT programs and environments.
- Active TS/SCI
Tags & focus areas
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