Intelligent Waves - Nellis Air Force Base, NV

posted about 1 month ago

Full-time - Mid Level
Nellis Air Force Base, NV
Merchant Wholesalers, Durable Goods

About the position

The Machine Learning Engineer at Intelligent Waves LLC will play a crucial role in developing and implementing machine learning models and algorithms to support mission-critical work for government customers. This position requires collaboration with a multidisciplinary team to create innovative solutions that address real-world challenges, ensuring the performance and scalability of deployed models while adhering to security protocols.

Responsibilities

  • Develop and implement machine learning models and algorithms tailored to specific business and technical challenges.
  • Continuously evaluate, tune, and iterate models to meet targeted performance metrics such as precision, F1 score, and Type-II error rates.
  • Assist in the design of scalable architecture for model deployment, ensuring seamless integration with existing systems.
  • Optimize the performance and scalability of deployed machine learning models to operate efficiently in production environments.
  • Collaborate with a multidisciplinary team of engineers, data scientists, and developers to design, create, and implement innovative solutions that address real-world challenges.
  • Implement automated processes for data preparation, model training, testing, and deployment.
  • Monitor and maintain machine learning systems, ensuring consistent and reliable performance by addressing any arising issues.
  • Stay informed on advancements in machine learning technologies and methodologies, incorporating best practices into projects to maintain state-of-the-art solutions.
  • Apply scientific methods, algorithms, and systems to extract valuable insights from structured and unstructured data sources, enhancing data mining efforts.
  • Transform data into formats suitable for analysis and share key inputs with architects and stakeholders.
  • Develop experimental frameworks to collect data, and recommend optimized solutions based on empirical findings.
  • Design and develop tools and templates for automating data collection through emerging technologies.
  • Search large datasets for actionable insights that directly support customer needs and strategic objectives.
  • Provide ongoing support for project progress, ensuring deliverables are met and stakeholders remain informed.
  • Perform other duties as assigned.

Requirements

  • Must be a United States Citizen and hold a current Secret security clearance.
  • Experience in developing and implementing machine learning models and algorithms.
  • Strong understanding of performance metrics such as precision, F1 score, and Type-II error rates.
  • Experience in designing scalable architecture for model deployment.
  • Ability to optimize performance and scalability of machine learning models in production environments.
  • Experience in collaborating with engineers, data scientists, and developers.
  • Knowledge of automated processes for data preparation, model training, testing, and deployment.
  • Ability to monitor and maintain machine learning systems for reliable performance.
  • Familiarity with advancements in machine learning technologies and methodologies.
  • Experience in data mining and extracting insights from structured and unstructured data sources.

Nice-to-haves

  • Experience with cloud-based machine learning platforms.
  • Familiarity with data visualization tools and techniques.
  • Knowledge of software development best practices and version control systems.

Benefits

  • Travel reimbursement based on GSA Per Diem rates and DoD Joint Travel Regulations (JTR).
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