Oddball
AI/MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI/Machine Learning Engineer at Oddball. Skills: AI/ML models, ML pipelines, Python. Design, develop, deploy AI/ML models. automate and improve internal workflow”
What You'll Achieve.
improve internal workflow; automate internal processes; translate them into production-ready solutions; meet federal security and compliance requirements
Industry & Context.
authorized to work in the United States, U. S. citizenship, federal background investigation, security clearance
What They're Looking For.
Must Have
Python, AWS cloud environments, Bachelor's Degree, Authorized to work in the United States
Nice to Have
natural language processing, document classification, federal security frameworks, FISMA, NIST 800-53
What You'll Do.
automate and improve internal workflow
Build and maintain ML pipelines
Integrate ML capabilities
Monitor model performance
Ensure AI/ML implementations meet requirements
How You'll Work.
Team & Collaboration
Collaborate with product and engineering teams; work across engineering and product teams; working closely with a cross-functional team; collaborating with engineers on integration
Communication Scope
Communicates clearly; openly; presenting model performance; collaborating with engineers
Full Job Description
Oddball believes that we can bring change and improve the daily lives of millions by bringing quality software to the federal space. Our team is full of experienced engineering, product, and user experience professionals who love bringing scalable solutions to life as much as they love working with clients to solve problems. We value learning, growth, and the ability to make a big impact at a rapidly growing company. We're looking for an AI/ML Engineer to join our team, building intelligent automation capabilities into a cloud-based case management system for a major federal financial regulatory agency. What you'll be doing: Design, develop, and deploy AI/ML models to automate and improve internal workflow and review processes Build and maintain ML pipelines within an AWS cloud environment Collaborate with product and engineering teams to identify high-value automation opportunities and translate them into production-ready solutions Integrate ML capabilities into existing Java and React application workflows Monitor model performance and iterate based on real-world outcomes and stakeholder feedback Ensure all AI/ML implementations meet federal security and compliance requirements including FISMA and NIST 800-53 What you’ll bring: Hands-on experience designing and deploying machine learning models in production environments Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn Experience building and maintaining ML pipelines in AWS cloud environments Ability to work across engineering and product teams to deliver practical, integrated AI solutions Experience with natural language processing or document classification is a plus Familiarity with federal security frameworks (FISMA, NIST 800-53) is a plus Thrives in a remote, collaborative Agile environment and genuinely enjoys working closely with a cross-functional team Communicates clearly and openly, whether presenting model performance to stakeholders or collaborating
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