Artificial Intelligence/Machine Learning 2
Avid Technology Professionals
•
Annapolis Junction, MD
0
0
0
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Not Applicable
Posted March 14, 2026
Job link
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Responsibilities
Commitments
Responsibilities
- 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
Commitments
This position requires in-scope poly, within 7 years.
Not Met Priorities
What still needs stronger evidence
Requirements
- Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- 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
- This position requires in-scope poly, within 7 years.
Preferred Skills
- Experience with standard machine language frameworks, e.g.
Education
- (Required) – Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- (Not 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.
- (Not required) – 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
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.
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.