Experience required
- PhD: 5+ years
About the role
Telework: None
- Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
- 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 years’ experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Responsibilities
- Select appropriate data sets
- Perform statistical analysis
- Run machine learning algorithms
- Use results to improve models
- Train and retrain systems when needed
- Experience in 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