AI/ML Engineer

Synergy ECPAnnapolis Junction, MD
Onsite

About The Position

We are looking for AI/ML Engineers to build, deploy, and maintain machine learning models and data-driven systems at scale. 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 E mployees, to our C ustomers and by Improving P erformance (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.

Requirements

  • 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
  • U.S. Citizenship
  • TS/SCI w/ Polygraph

Nice To Haves

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

Responsibilities

  • 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)

Benefits

  • Highly competitive compensation
  • Comprehensive Health Benefits package
  • 401K Retirement plan
  • Continuing education program
  • Generous Paid Time Off
  • 11 paid holidays
  • Flexible work options
  • Annual participation in philanthropy
  • Weekly happy hour
  • Snack or coffee in our café
  • Collaborative office space and conference rooms
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