AI/ML Engineer II

About the role

The AI/ML Engineer will design, create, test, and productize AI/ML algorithms in support of the FFPP VISTA Development and Sustainment (MT&E Team) mission.

Responsibilities

• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow
• Run standard test and evaluation protocols
• Provide system integration oversight
• Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
• Research and implement a broad range of AI and ML algorithms and tools
• Design or select appropriate data and knowledge representation methods
• Recognize software architecture, data modelling, and data structures
• Transform and convert data science prototypes into scalable solutions
• Verify data and model output quality
• Identify differences in data distribution that affect model performance

Requirements

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
• A Master’s or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university
• Five additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree

Qualifications

• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow

Skills

• Proficient in model architecture
• Data pipeline interaction
• Metrics application
• Application development
• Infrastructure management
• Data engineering
• Data governance

Benefits

• N/A

Pay

• N/A

Schedule

• N/A