[Remote] Artificial Intelligence and Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. RIVA Solutions is a mission-driven IT services company and systems integrator supporting digital transformation and modernization for federal government agencies. The company is seeking an Artificial Intelligence and Machine Learning Engineer to design, build, and deploy production AI and ML solutions for the USPTO P-TACTS program, focusing on large language models, retrieval augmented generation, and scalable cloud deployments. The engineer will work with government stakeholders and technical teams to turn mission needs into maintainable applications.

Responsibilities

• This role designs, builds, and deploys production AI and ML solutions, with an emphasis on large language models, retrieval augmented generation, and scalable cloud deployments including on Databricks and within the program AWS Cloud environment
• The engineer works directly with government stakeholders and technical teams to turn mission needs into working, maintainable applications

Skills

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of applied ML and AI engineering experience
• Strong Python skills and hands-on experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras
• Practical experience with LLMs, RAG architectures, and vector databases
• Cloud platform experience with [AWS or GCP — confirm USPTO environment], including deployment of ML workloads
• Experience across supervised, unsupervised, and reinforcement learning approaches
• Eligibility to obtain a USPTO Public Trust and authorization to work in the U.S
• Databricks Certified Machine Learning Engineer, AWS Certified Machine Learning Engineer or an equivalent cloud certification
• Experience with generative and multimodal AI applied to documents and images, such as OCR, layout analysis, and information extraction from scanned filings
• Databricks Certified Machine Learning Engineer, AWS Certified Machine Learning Engineer or an equivalent cloud certification
• MLOps experience with pipeline orchestration
• Full-stack development experience integrating ML services with web interfaces
• Prior experience delivering on federal government contracts
• Experience with USPTO, PTAB, or patent and intellectual property data
• Experience supporting a FISMA Moderate system through security authorization and continuous monitoring

Benefits

• Flexible, supportive environment
• Opportunities to grow skills
• Meaningful work and the opportunity to make an impact from day one

Company Overview