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Oddball

SDVOSB digital modernization for federal services

Applied AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation.
  • Experience building and deploying machine learning models in real-world applications.
  • Proficiency in Python and common machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Experience working with large language models, embeddings, and prompt-driven systems.
  • Familiarity with data processing tools and workflows such as Pandas, SQL, or Spark.
  • Understanding of software engineering best practices, including version control, testing, and code reviews.
  • Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability.
  • Applicants must be authorized to work in the United States.

Responsibilities

  • Design, develop, and deploy machine learning and AI-powered features into production systems.
  • Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data.
  • Build and evaluate models for tasks such as classification, ranking, prediction, natural language processing, or anomaly detection.
  • Develop and integrate generative AI solutions, including large language model-based workflows, retrieval-augmented generation, and agents.
  • Translate business and user needs into machine learning problem statements, metrics, and experiments.
  • Implement data pipelines and feature engineering workflows to support model training and inference.
  • Evaluate model performance, bias, drift, and reliability, and iterate based on results.
  • Collaborate with software engineers to integrate models into application programming interfaces, services, and user-facing applications.
  • Contribute to architecture decisions around model serving, scalability, and cost optimization.
  • Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing.
  • Perform other related duties as assigned.

Desired Qualifications

  • Experience working in innovation, research and development, laboratory, or exploratory engineering teams.
  • Experience deploying models to cloud platforms and managing inference at scale.
  • Familiarity with machine learning operations practices such as model monitoring, continuous integration/continuous deployment for machine learning, and experiment tracking.
  • Experience contributing to architectural discussions or technical strategy.

About the Company

Oddball

SDVOSB digital modernization for federal services

Oddball is a service-disabled veteran-owned small business that helps federal agencies modernize digital, citizen-focused services. It guides projects from design to deployment, using teams of full‑stack developers, designers, product managers, and project managers to build scalable software and run it with DevOps, cloud migration, and CI/CD. It stands out because it is SDVOSB-certified and focuses on citizen needs with an end‑to‑end, enterprise-grade delivery approach. Its goal is to improve government services for citizens and boost workforce efficiency by delivering reliable, maintainable software.

Company size
201-500
Company stage
Grant
Total funding
$1.5M
Headquarters
Washington DC, District of Columbia
Founded
2015

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