Machine Learning Engineer

Job Category: Technology IT
Job Type: Full Time
Job Location: USA
Company Name: AEP Hawaii

Company Overview

AEP Hawaii is a premier talent solutions firm specializing in executive, technology, finance, and cleared professional staffing across Hawaii and the West Coast.

Our mission is to strengthen Hawaii’s economy by creating high-paying job opportunities and supporting the local talent community. We take pride in bringing Kama‘āina back home and have a proven track record of success partnering with startups, enterprise organizations, federal contractors, and state agencies.

Our Expertise

Executive & Retained Search
Cleared Staffing & Subcontracting
Consulting Solutions
Project & Program Management
Diversity Hiring

As a certified Minority Business Enterprise (MBE), AEP Hawaii serves as a bridge for the next generation of professionals in the Hawaii job market.

Required Experience

  • 7+ years of professional experience developing production ML systems, including model deployment, monitoring, and maintenance in production environments.
  • Strong background in statistical analysis and mathematical modeling
  • Advanced proficiency in R, including expertise with packages such as data.table, glmnet, xgboost, randomForest, ggplot, and other advanced data manipulation and modeling libraries.
  • Experience with Python ML ecosystem (pandas, NumPy, SciPy, scikit-learn).
  • Deep understanding of, and experience with software engineering best practices (version control, CI/CD, testing)
  • Proficiency with cloud platforms (AWS, GCP)

Responsibilities

  • Architect, develop, and optimize advanced machine learning solutions within our framework
  • Lead the unification of disparate ML components into a cohesive ecosystem
  • Design and implement scalable ML pipelines that meet production requirements
  • Develop sophisticated statistical models using R for data analysis and predictive modeling
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

Education

  • Ph.D. in Computer Science, Statistics, Applied Mathematics, or related field required
  • Exceptional candidates with a Master’s degree and outstanding experience will be considered

Preferred Qualifications

  • Contributions to R packages or the R ecosystem
  • Experience with systems integration and API design
  • History of technical leadership in previous roles

Intangibles

  • Driven to deliver results; mature understanding of tradeoffs necessary to meet deadlines.
  • Exceptional problem-solving abilities and attention to detail.
  • Excellent written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders
  • Self-motivated with the discipline to work effectively in a remote environment
  • Comfort with ambiguity; ability to make decisions with incomplete information.
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