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Markon
AI

AI/ML Engineer Level 1

Markon · Fort Meade, MD, US · $155k - $175k

Actively hiring Posted 5 months ago

Responsibilities

  • Build, train, fine-tune, and optimize machine learning and language models, including multilingual models such as Marian.
  • Apply best practices in model training, tuning, optimization, and performance improvement.
  • Conduct model evaluation, benchmarking, error analysis, and diagnostics to ensure accuracy and reliability.
  • Deploy and scale models using cloud-based AI platforms, with emphasis on AWS SageMaker.
  • Integrate AI/ML models into production environments, ensuring interoperability with existing systems.
  • Support full-stack development for AI-enabled applications, collaborating with front-end and back-end engineers.
  • Work with open-source model libraries, deep learning containers, and GPU-accelerated environments.
  • Document workflows, model architectures, and technical designs.
  • Collaborate with data scientists, engineers, and product teams to translate mission requirements into technical solutions.
  • Participate in occasional on-call support, as needed.

Basic qualifications

  • Active TS/SCI w/ Polygraph with this Customer.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline plus 2 years of relevant experience.
  • Hands-on experience developing AI/ML models, particularly language models for NLP applications.
  • Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Experience with model training, evaluation, and deployment workflows.
  • Experience using AWS services such as SageMaker, EC2, S3, and Lambda.
  • Strong programming skills in Java, C, and/or C++.
  • Familiarity with GPU technologies, deep learning containers, and model optimization techniques.
  • Understanding of full-stack development concepts and system integration.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively in a collaborative, mission-focused environment.

Preferred qualifications

  • Experience with computational linguistics.
  • Experience with Large Language Models (LLMs).
  • Experience with model versioning and management tools such as MLflow or Git.
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience working in a government or defense-related environment.
  • Experience with secure data handling and compliance requirements.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Machine Learning Nlp
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