AI​/Machine Learning Engineer

Overview

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.

The AI/ML Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models 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 model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The role requires familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Through understanding 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 lead geographically diverse teams and often serves as a primary point of contact for AI-related matters, so exceptional analytical, problem-solving and communication skills are required. Expert knowledge of multiple programming languages (e.g., Python, Java, C, R) is a plus.

• Experience with standard machine learning frameworks, e.g. PyTorch, Tensor Flow.
• 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

Five (5) years of 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. An additional 5 years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master’s degree.

TS/SCI w/ Polygraph

U.S. Citizenship

For this role, our typical salary range starts at $210,000 and stretches up to $240,000. We are committed to attracting top talent and offer a comprehensive rewards package, including benefits and opportunities for growth. The description emphasizes that compensation is not the sole factor and highlights the value of culture, impact, and total rewards.

Compensation
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We offer highly competitive compensation that is consistently recognized by our employees as being generous.

Health & Retirement
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We offer a comprehensive health benefits package and 401K retirement plan so you can take care of yourself and your family. Other health-related…