AI/Machine Learning Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We are hiring an AI/Machine Learning Engineer to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives.

What you'll be doing:

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.

Requirements

• Experience: 7+ years of experience in software and machine learning engineering.
• Leadership: 3+ years of experience leading cross-functional AI/ML teams.
• NLP Knowledge: Strong knowledge of natural language processing (NLP) and transformer models.
• Programming: Proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
• ML Pipeline: Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
• Architectural Strategies: Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
• Cloud Experience: Proven experience building scalable, cloud-based AI/ML solutions on AWS, GCP, or Azure.
• Methodologies: Familiarity with Agile and DevSecOps methodologies for AI/ML development; AI/ML cybersecurity experience is a bonus.
• Ethics: Understanding of ethics in AI, including bias mitigation, fairness, privacy (PII/PHI), and the ability to implement explainable AI techniques to ensure transparency and trust in AI-driven decisions.
• Model Fine-tuning: Experience fine-tuning pre-trained models for specific business use cases.
• MLOps: Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
• NLP Metrics: Familiarity with NLP metrics and benchmarking utilities such as BERTScore, ROUGE, or METEOR.
• Federal Compliance: Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
• Communication: Strong communication skills for effectively engaging both technical and non-technical stakeholders.
• Continuous Learning: Passion for staying up-to-date with industry trends, emerging technologies, and evolving federal government standards.
• Federal Experience: Experience engineering products in federal environments or on government contracts; experience with the Securities & Exchange Commission (SEC) is a significant advantage.

Responsibilities

• Lead the development and deployment of advanced machine learning models and AI solutions.
• Collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products.
• Apply AI/ML expertise to solve meaningful challenges in federal programs.

Application Instructions

• Citizenship: Must be a US Citizen and able to work domestically.
• Security Clearance: Must be able to attain low-level security clearance.

Company Information

Oddball values learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.