Ai/Machine Learning Engineer

Summary

Join Oddball, a company that values learning and growth, as an AI/Machine Learning Engineer. You will lead the development and deployment of advanced machine learning models and AI solutions for a pivotal Federal program impacting millions. Collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. Apply your expertise to solve meaningful challenges in federal programs, focusing on areas like healthcare and veterans' services. This role requires extensive experience in software and machine learning engineering, leadership of AI/ML teams, and a strong understanding of NLP and related technologies. Oddball offers a fully remote work environment, a competitive salary, and a comprehensive benefits package.

Requirements

• 7+ years of experience in software and machine learning engineering
• 3+ years of experience leading cross-functional AI/ML teams
• Strong knowledge of natural language processing (NLP) and transformer models
• Proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers
• Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring
• Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs
• Proven experience building scalable, cloud-based AI/ML solutions on AWS, GCP, or Azure
• 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
• Experience fine-tuning pre-trained models for specific business use cases
• 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
• Familiarity with NLP metrics and benchmarking utilities such as BERTScore, ROUGE, or METEOR
• Strong communication skills for effectively engaging both technical and non-technical stakeholders
• Passion for staying up-to-date with industry trends, emerging technologies, and evolving federal government standards
• Must be a US Citizen and able to work domestically
• Must be able to attain low-level security clearance
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field

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, driving innovation in healthcare, veterans’ services, and more

Preferred Qualifications

• Familiarity with Agile and DevSecOps methodologies for AI/ML development; AI/ML cybersecurity experience is a bonus
• Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus
• Experience engineering products in federal environments or on government contracts; experience with the Centers for Medicare & Medicaid Services (CMS) is a significant advantage
• Ph.D. in a relevant field or equivalent experience is a plus
• AWS Certified Machine Learning Specialty, TensorFlow Developer Certificate, or similar

Benefits

• Fully remote
• Annual stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays