Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security.
In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP). It’s what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results—showing we’re ready to meet our customers’ evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services.
Your Main Objective: 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. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. 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. 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. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
Required Skills:
-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
Qualifications: 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.
CLEARANCE REQUIRED:
TS/SCI w/ Polygraph
Other Requirements:
U.S. Citizenship
Compensation Spotlight:
For this role, our typical salary range starts at $210,000 and stretches up to $240,000. But here's the deal – we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact.