Artificial Intelligence/Machine Learning 2
About The Position
Required: Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. 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 language frameworks, e.g. Pytorch, TensorFlow. 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 Position Specific Requirements: This position requires in-scope poly, within 7 years.
Requirements
- Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- 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 language frameworks, e.g. Pytorch, TensorFlow.
- Experience in working with various ML libraries and packages
- This position requires in-scope poly, within 7 years.
Responsibilities
- Select appropriate data sets
- Perform statistical analysis
- Run machine learning algorithms
- Use results to improve models
- Train and retrain systems when needed
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
