AI/ML Engineer II

• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Experience working with various ML libraries and packages
• 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

Artificial Intelligence (AI), Artificial Intelligence (AI), Machine Learning, Data Management, Metrics, Software Development, Data Modeling, Deep Learning, Data Science, Computer Science, The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, and familiar with application development, infrastructure management, data engineering, and data governance., * 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
• 5 additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree
• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow, * Software development experience is highly desired
• Familiarity with application development, infrastructure management, data engineering, and data governance