Synergy ECP is looking to solve business challenges by designing, creating, testing, and productizing AI/ML algorithms that can learn and make predictions based on business logic to meet customer requirements.
Requirements
- Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
- 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
Responsibilities
- The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.
- The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements.
- The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.
- Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance.
- Select appropriate data sets
- Perform statistical analysis
- Run machine learning algorithms
Other
- The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.
- 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.
- TS/SCI w/ Polygraph
