Remote AI/Machine Learning Engineer (Remote - US)

Description:

• This position is for an AI/Machine Learning Engineer at Oddball, posted by Jobgether, and is fully remote within the United States.
• The role involves building AI and machine learning solutions for a high-profile federal program aimed at improving the lives of millions of Americans.
• Responsibilities include leading the development and deployment of scalable AI/ML solutions across federal programs with significant societal impact.
• The engineer will build NLP and transformer-based models using libraries such as TensorFlow, PyTorch, and Hugging Face.
• The position requires implementing the full ML pipeline from data preparation to training, serving, and real-time performance monitoring.
• The engineer will develop question-answering systems and enhance AI workflows using Retrieval-Augmented Generation and Knowledge Graphs.
• MLOps practices, including Infrastructure as Code (IaC), CI/CD pipelines for ML, and model versioning, will be applied.
• The role ensures that systems meet reliability, scalability, and compliance standards for federal use cases.
• Collaboration with interdisciplinary teams to translate complex challenges into actionable ML solutions is essential.
• The engineer will contribute to innovation while maintaining alignment with federal AI governance standards.

Requirements:

• A minimum of 4 years of experience in software and machine learning engineering is required.
• Proficiency in Python and experience with modern ML/NLP frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers is necessary.
• A deep understanding of NLP, transformer architectures, and AI pipeline design is essential.
• Strong knowledge of MLOps tools and best practices for robust AI deployment in production is required.
• Familiarity with Retrieval-Augmented Generation, Agentic Graphs, and Knowledge Graph strategies is preferred.
• Experience with cloud-based ML architectures and building secure, scalable AI systems is necessary.
• Knowledge of federal compliance frameworks like NIST AI RMF and FedRAMP is a plus.
• Candidates must be U.S. Citizens and able to obtain a low-level federal security clearance.
• A Bachelor’s degree in Computer Science, Data Science, or a related field is required.

Benefits:

• This is a fully remote position with flexible working hours.
• An annual professional development stipend is provided.
• The competitive salary range is between $140,000 and $165,000, depending on location, experience, and role level.
• A comprehensive benefits package is included, covering health, dental, and vision.
• A 401(k) plan with company match is offered.
• Generous paid time off (PTO) and paid holidays are provided.
• The work environment is inclusive and promotes equal opportunity.