Artificial Intelligence/ Machine Learning Engineer Level 3

7 days ago

Annapolis Junction, MD, United States Staffed4U Full time
Location: Annapolis Junction, MD, 20701
Clearance Required: TS/SCI with Polygraph
Employment Type: Full-Time
Salary Range: $207,000 - $245,000 (USD)
Note: Salary excludes discretionary bonuses and benefits. Actual compensation may vary based on location, experience, education, and skill level.

Position Summary:

We are seeking a highly skilled AI/ML Engineer to design, build, and implement machine learning algorithms that power mission-driven applications. This role requires strong technical acumen across the full AI/ML lifecycle-from model selection and development through deployment, monitoring, and iteration. The ideal candidate will be adept at working in secure, high-performance computing environments and comfortable leading both individual efforts and cross-functional teams.

Key Responsibilities:
  • Select and curate appropriate datasets for model training and evaluation
  • Design, build, and validate machine learning models using current frameworks and tools
  • Perform statistical analysis and run standard machine learning algorithms
  • Train, retrain, and refine models based on system and user feedback
  • Ensure quality and consistency in data ingestion, model outputs, and predictions
  • Transform prototypes into scalable, production-grade solutions
  • Integrate models into broader system architecture with minimal performance impact
  • Implement explainability and resilience criteria into models
  • Conduct thorough test and evaluation of AI/ML algorithms
  • Collaborate with stakeholders to define model requirements and performance expectations
  • Research emerging technologies, ML libraries, and cloud-based AI tools
  • Lead or participate in geographically distributed development teams
  • Provide technical leadership on AI/ML implementation strategy and model governance
  • Monitor model performance in real-world settings and adapt to changes in data distribution
  • Create documentation and present findings to both technical and non-technical audiences
Required Qualifications:
  • Active TS/SCI with Polygraph clearance
  • 10+ years of experience deploying machine learning algorithms in production environments
  • Master's or Ph.D. in Artificial Intelligence, Data Science, Computer Science, Advanced Mathematics, Deep Learning, or a related field

    • A Bachelor's degree with 7 additional years of relevant AI/ML experience may substitute for a Master's
  • Demonstrated experience in software engineering and model validation/test processes
  • Proficiency in one or more programming languages such as Python, Java, R, or C/C++
  • Experience with modern ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong understanding of AI/ML model lifecycle management in cloud or on-premise environments
  • Knowledge of data architecture, modeling, and structured/unstructured data sources
  • Familiarity with AI concepts such as logic, semantics, ontologies, and knowledge representation
Preferred Skills:
  • Experience with explainable AI (XAI) and model interpretability tools
  • Experience evaluating robustness and resiliency of models in dynamic environments
  • Understanding of secure data workflows and privacy-preserving machine learning techniques
  • Familiarity with commercial and open-source AI/ML tools for performance optimization
  • Ability to lead teams and serve as a primary technical point of contact for AI initiatives


Candidates with the required clearance and experience are encouraged to submit their resume for consideration. Include a summary of relevant AI/ML projects, certifications, and technical proficiencies.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.

https://www.staffed4u.com/

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