AI/ML Engineer

United States·Annapolis JunctionFull Timemid

Machine Learning EngineerData

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Quick Summary

Overview

Requirements Summary

MLOps / model lifecycle tools Cloud ML services (AWS SageMaker, Azure ML) Experience with large-scale or real-time systems CLEARANCE REQUIRED: TS/SCI w/ Polygraph Other Requirements: U.S.

Technical Tools

awsazurepythonpytorchscikit-learntensorflowtypescriptagilecybersecurityetlmachine-learningperformance-optimization

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.

Responsibilities

~1 min read

→Develop and train machine learning models
→Deploy models into production environments
→Build data pipelines and workflows for model training and inference
→Collaborate with software and DevOps teams for integration
→Monitor model performance and optimize over time
→Support the full ML lifecycle (data → training → deployment → monitoring)

Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with data processing and feature engineering
Understanding of model evaluation and performance tuning
Experience deploying ML in production environments
B.S. degree in a technical field and 3+ years of experience

Nice to Have

~1 min read

MLOps / model lifecycle tools
Cloud ML services (AWS SageMaker, Azure ML)
Experience with large-scale or real-time systems

CLEARANCE REQUIRED:

TS/SCI w/ Polygraph

Other Requirements:

U.S. Citizenship

Compensation Spotlight:

For this role, our typical salary range starts at $150,000 and stretches up to $270,000. 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.