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Senior ML Engineer

1 month, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Agile Apache Spark Databricks Git Machine Learning MLOps NLP SQL
Apply Now
Redhorse

Redhorse

Redhorse Corporation specializes in transforming government interactions with data and technology, offering impactful solutions through trusted partnerships and expertise in National Security and Technology.

Aerospace & Defense
251-1K
Founded 2008
View All Jobs 4

Description

  • Architect and maintain production-grade machine learning pipelines and infrastructure for program-wide CBM+ initiatives.
  • Oversee end-to-end data collection, processing, and sustainment of robust ETL pipelines.
  • Drive MLOps practices for automated model deployment, versioning, and monitoring.
  • Partner with data scientists to transition models from experimentation into production environments.
  • Clean, preprocess, and manage large-scale datasets for predictive modeling.
  • Perform exploratory data analysis and statistical visualization to identify trends and correlations.
  • Improve system performance, scalability, and computational efficiency.
  • Monitor deployed models for performance drift and degradation and implement retraining strategies as needed.
  • Collaborate within a cross-functional Agile team to align technical work with mission objectives.

Requirements

  • US citizenship and an active Secret U.S. government clearance are required.
  • Bachelor’s degree in a STEM field such as Computer Science, Data Science, Engineering, or Mathematics.
  • 4 years of professional experience in machine learning or data science with production-grade deployments.
  • Experience with Databricks, PySpark, and SQL for large-scale data manipulation.
  • Experience with MLOps practices, including model engineering, orchestration, and monitoring.
  • Applied natural language processing experience, including data labeling and entity/keyword extraction.
  • Strong understanding of statistical distributions and their use in predictive data modeling.
  • Excellent communication skills with the ability to present technical findings to diverse audiences and stakeholders.
  • Proficiency with Microsoft Excel, Word, and PowerPoint.
  • Ability to travel as needed to engage with government customers and stakeholders.
  • Master’s degree in a STEM field, ideally Data Science or Artificial Intelligence, is preferred.
  • Experience with predictive maintenance or industrial logistics AI/ML applications is preferred.
  • Hands-on experience with sensor-based failure prediction and time-series modeling is preferred.
  • Familiarity with Monte Carlo simulations and confidence level calculations for predictive forecasting is preferred.
  • Experience in DoD data environments such as Advana or Jupiter is preferred.
  • Contributions to open-source ML projects or experience with Git-based collaboration is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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