Machine Learning Engineer

Intelligent Waves - Nellis Air Force Base, NV

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 and optimize the performance of deployed models, ensuring they meet specific business and technical challenges.

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 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 extraction and mining from structured and unstructured data sources.