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Sr. AI/ML Engineer I (6813)

MetroStar
Reston, USA
Full-time
Mid-Senior
Onsite
$170,000 to $200,000.
Discovered 1 weeks ago
AI/ML model development and deploymentRetrieval-augmented generationGenerative AI and large language modelsNatural language processingNeural networksPython
Free

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Key skills for this role

AI/ML model development and deploymentRetrieval-augmented generationGenerative AI and large language models
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About the Role

Design, build, deploy, and maintain production-ready AI and machine learning solutions.

Leverage advanced machine learning techniques to support retrieval-augmented generation and mission-focused outcomes.

Serve as a trusted technical advisor for secure system integration and communicate findings to diverse audiences.

Responsibilities

  • Build, train, operationalize, and maintain AI/ML models in production.
  • Apply machine learning techniques to support RAG capabilities.
  • Present results in presentations or reports.
  • Provide architectural leadership, technical support, and advisory services.
  • Integrate system technologies while meeting security requirements.
  • Analyze program and system activities to automate and optimize manual processes.
  • Design, develop, and deploy containerized AI/ML solutions.

Requirements

  • At least six years of experience.
  • Bachelor's degree or equivalent experience.
  • Active TS/SCI CI poly clearance.
  • Extensive experience with open-source models or comparable proprietary-model analysis.
  • Expertise in at least two of generative AI or LLMs, NLP, RAG, and neural networks.
  • At least six years with at least two listed AI/ML technologies, including Python, R, Anaconda, NumPy, TensorFlow, Keras, Scikit-learn, or PostgreSQL.
  • At least six years designing, implementing, and maintaining AI/ML data architecture and services.
  • Experience maintaining models through user stories and DevSecOps CI/CD pipelines.
  • Expertise deploying AI/ML solutions in classified AWS environments at IL6 or higher.
  • Strong containerized AI/ML solution development and deployment experience.

Compensation

  • The stated salary range is $170,000 to $200,000.
  • Additional compensation may include performance-based bonuses, training or certification support, and referral bonuses.

Benefits

  • Full-time employees may participate in health, dental, and vision insurance, a 401(k) plan with company match, paid time off, holidays, parental leave, and professional development programs.

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