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.
Description:
Seeking a motivated AI/ML Engineer to support the exciting Corporate Discovery Services mission. The AI/ML Engineer will act as the critical bridge between data science and software engineering mission capturing requirements from stakeholders to deliver robust, scalable, and functional innovative prototypes and deploy solutions.
Job Responsibilities/Qualifications:
Mission Focus: Use Machine Learning Operations (MLOps) set of practices to automate and standardize the lifecycle of machine learning models, from development and training to deployment and monitoring, borrowing principles from DevOps to ensure reliable, efficient, and scalable ML systems in production. Create Machine Learning, Generative AI Large Language Models (LLM), Retrieval Augmented Generation (RAG), and Agentic AI AI/ML pipelines.
Technical Proficiency: Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA (Compute Unified Device Architecture) libraries. Strong grasp of version control (GitLab), Continuous Integration/Continuous Deployment (GitLab CI/CD), and containerization (Docker, Kubernetes).
Required Qualifications:
Bachelor's degree plus 11-years of relevant experience or equivalent.
Desirable Skills:
-MLOps
-AWS SageMaker
-AWS Bedrock
-Gambit
-Hub
-Jira
-Confluence
-Docker Hub
CLEARANCE REQUIRED:
TS/SCI w/ Polygraph
Other Requirements:
U.S. Citizenship
Compensation Spotlight:
For this role, our typical salary range starts at $230,000 and stretches up to $260,000. 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.