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Applied AI/ML Engineer

Oddball· Engineering
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Hybrid (DMV area (DC, MD, VA))$150k - $200kPosted 1mo ago

About the role

Applied AI/ML Engineer role focusing on designing, building, and deploying practical AI-powered solutions in production systems, from experimentation to deployment, with GenAI integration and collaboration across engineering, design, and product teams.

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, NLP, or anomaly detection
  • Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
  • Translate business and user needs into ML 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; iterate based on results
  • Collaborate with software engineers to integrate models into APIs, 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

Qualifications

  • Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
  • Experience building and deploying ML models in real-world applications
  • Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience working with large language models, embeddings, and prompt-driven systems
  • Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
  • Understanding of software engineering best practices (version control, testing, code reviews)
  • Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
  • Strong communication skills and comfort working in cross-functional teams
  • Performs other related duties as assigned

Skills

Required:Machine learning conceptsPythonML librariesLarge language models / embeddingsData processing toolsSoftware engineering practicesGenAI / AI product designCommunication

Benefits

  • Fully remote
  • Annual stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Oddball

We’re a little odd, we know.

Oddball is a digital agency supporting federal clients using scalable software solutions that are purpose-built for the citizens they serve and the workforces they enable.

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