4 days ago
Washington, DC, USAEntry Level / Mid Level / Senior / Staff+

Responsibilities

  • Design, develop, and operate AI and machine learning capabilities for production applications and data workflows.
  • Build and maintain data and model pipelines for training, deployment, monitoring, retraining, version control, and lifecycle management.
  • Partner with data scientists, developers, and cloud engineers to productionize AI solutions.
  • Implement MLOps practices for model deployment, monitoring, retraining, and version control.
  • Support generative AI and large language model implementations, including prompt workflows, retrieval-augmented generation, and vector-based retrieval.
  • Apply AI and machine learning to test automation, workflow support, and operational optimization use cases.
  • Contribute to CI/CD, observability, and operational support for AI systems in secure environments.
  • Support responsible AI and model governance practices, including explainability and compliance requirements.
  • Document architectures, workflows, and engineering standards for project delivery.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, Engineering, or a related technical field is required; a master's degree is preferred.
  • Relevant professional experience in AI engineering, machine learning engineering, or related software engineering roles, with depth varying by hiring level.
  • Proficiency in Python.
  • Familiarity with TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with MLOps, CI/CD for ML, and model monitoring concepts and practices.
  • Exposure to LLMOps, AIOps, RAG, and vector databases.
  • Experience building or supporting data pipelines for AI/ML applications.
  • Understanding of software engineering and DevSecOps practices for production systems.
  • Experience deploying or supporting machine learning and AI systems in production environments is preferred.
  • Experience working in cloud-based or hybrid technical environments is preferred.
  • Experience supporting production ML at scale is a plus.
  • Experience with AWS, Azure, or GCP AI/ML services is a plus.
  • Familiarity with federal, public sector, or regulated AI environments is a plus.
  • Exposure to NLP, classification, survey analytics, or entity resolution use cases is a plus.

Benefits

  • The position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland.
  • Remote or hybrid arrangements may be available for eligible work, subject to government approval.

Tech Stack

Categories

American Bureau of Shipping

About American Bureau of Shipping

5,001-10,000 employees

American Bureau of Shipping (ABS) is a nonprofit classification society that sets technical standards and provides surveys, certification, and advisory services for ships, offshore units, and marine energy projects. It earns fees from classification, compliance audits, and engineering consulting for shipowners, shipyards, and energy companies. Founded in 1862 and headquartered in Spring, Texas, ABS operates worldwide and supports areas like cybersecurity, LNG, and condition-based monitoring.

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