Synergy ECP
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.
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, is a plus.
Required Skills
Experience with standard machine learning 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 is required. Five additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree.
Security Clearance TS/SCI w/ Polygraph
Other Requirements U.S. Citizenship
Compensation For this role, our typical salary range starts at $210,000 and stretches up to $240,000. We are committed to securing top talent and are ready to go above and beyond to attract exceptional candidates.
Benefits
Health & Retirement: comprehensive Health Benefits package and 401K retirement plan.
Education: company‑sponsored continuing education program to support degree and certification goals.
Work/Life Balance: generous paid time off, 11 paid holidays, and flexible work options.
Philanthropy: annual volunteering and contributions to community organizations.
Corporate Facilities: collaborative office spaces, on‑site café, and weekly social events.
SkillBridge Program: matches veteran expertise with corporate opportunities.
EEO Statement Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.
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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, is a plus.
Required Skills
Experience with standard machine learning 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 is required. Five additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree.
Security Clearance TS/SCI w/ Polygraph
Other Requirements U.S. Citizenship
Compensation For this role, our typical salary range starts at $210,000 and stretches up to $240,000. We are committed to securing top talent and are ready to go above and beyond to attract exceptional candidates.
Benefits
Health & Retirement: comprehensive Health Benefits package and 401K retirement plan.
Education: company‑sponsored continuing education program to support degree and certification goals.
Work/Life Balance: generous paid time off, 11 paid holidays, and flexible work options.
Philanthropy: annual volunteering and contributions to community organizations.
Corporate Facilities: collaborative office spaces, on‑site café, and weekly social events.
SkillBridge Program: matches veteran expertise with corporate opportunities.
EEO Statement Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.
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