AI/ML Engineer

American Bureau of Shipping•Washington, DC

1d•Onsite

About The Position

ABS Group is seeking an AI/ML Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, develop, and operationalize machine learning and artificial intelligence solutions that support mission applications and data-driven workflows. You will help bring AI capabilities into production, build supporting pipelines and model operations workflows, and work across data science, engineering, and cloud teams to deliver scalable, secure, and trustworthy AI solutions. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled.

Requirements

Bachelor's degree in Computer Science, Data Science, Software Engineering, Engineering, or a related technical field; Master's degree preferred
Relevant professional experience in AI engineering, machine learning engineering, or related software engineering roles; the depth and scope of experience required will vary based on the level at which this position is filled
Proficiency in Python
Familiarity with frameworks such as 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
Strong collaboration skills across technical teams and stakeholders

Nice To Haves

Experience deploying or supporting machine learning and AI systems in production environments preferred
Experience working in cloud-based or hybrid technical environments preferred
Experience supporting production ML at scale
Experience with AWS, Azure, or GCP AI/ML services
Familiarity with federal, public sector, or regulated AI environments
Exposure to NLP, classification, survey analytics, or entity resolution use cases

Responsibilities

Design, develop, and operate AI and machine learning capabilities for production applications and data workflows
Build and maintain data and model pipelines that support training, deployment, monitoring, and lifecycle management
Partner with data scientists, developers, and cloud engineers to productionize AI solutions
Implement MLOps and related engineering 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 patterns
Apply AI/ML to adjacent use cases such as test automation, workflow support, and operational optimization
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