Synergyecp
AI/ML Engineer
Annapolis Junction, MD
No sponsorshipDetected 76 days ago
TypeScriptPythonAWSAzureDevOpsMachine LearningTensorFlowPyTorchscikit-learnData EngineeringMLOpsSystems Engineering
About the role
- 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).
- 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
- 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)
- Work/Life Balance: A healthy work/life balance is essential for building and executing your work effectively at Synergy ECP, but it's also necessary to allow you the room to pursue everything you want to develop in your personal life.
- Philanthropy: With the help of our amazing employees, Synergy ECP participates annually in building awareness, volunteering and contributing to dozens of organizations.
- We believe that giving back creates a sense of purpose, engagement, and fulfillment.
- Great Corporate Facilities: Come by our corporate office and enjoy a weekly happy hour, take a drive to nearby restaurants, grab a snack or coffee in our café, or utilize our collaborative office space and conference rooms.
- A healthy work/life balance is essential for building and executing your work effectively at Synergy ECP, but it's also necessary to allow you the room to pursue everything you want to develop in your personal life.
Nice to have
- MLOps / model lifecycle tools
- Cloud ML services (AWS SageMaker, Azure ML)
- Experience with large-scale or real-time systems
- TS/SCI w/ Polygraph
- Other Requirements:
- U.S. Citizenship
- Compensation Spotlight:
- But here's the deal - we're not about capping your potential.
Skills
- 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
Compensation
- We offer highly competitive compensation that is consistently recognized by our employees as being generous!
Benefits
- We offer a comprehensive Health Benefits package and 401K Retirement plan so you can take care of yourself and your family... both now and in the future.
- Other health-related benefits include People Partners who will help you navigate both personal and professional worlds, as well as strong wellness related resources offered through our healthcare provider.
- We offer a generous Paid Time Off benefit and 11 paid holidays a year.
- Synergy ECP also provides flexible work options that work with your schedule and lifestyle.
- Develop and train machine learning models
- Education: Individual growth is a priority at Synergy ECP.
- Employees are encouraged to take advantage of our company-sponsored continuing education program so they can get their degree or that next certification needed to propel them towards the next level.
Company info
- Our SkillBridge Program takes the incredible experience our servicemembers already have and shows them how to apply it within corporate environments.
- We are fanatical about helping our Military!
- 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.
Visa & Work Authorization
- Citizenship
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This listing is sourced directly from Synergyecp's careers page and normalized into a canonical job model.