Artificial Intelligence/Machine Learning Engineer

As an experienced engineer, you'll design and build robust knowledge frameworks enabling AI systems to dynamically interact with structured and unstructured data, facilitating real-time insights and decision-making support.

Requirements

• 8+ years of experience in data, solution architecture, or engineering
• 3+ years of experience with AI, ML, or knowledge-based systems
• Experience in knowledge management, semantic search, and information retrieval
• Experience designing knowledge graphs, ontologies, and semantic frameworks, including RDF, OWL, or Neo4j
• Experience with vector databases, such as Azure AI Search, PostgreSQL PgVector, Pinecone, Weaviate, or FAISS, and graph databases such as Neo4j or AWS Neptune
• Experience in ETL processes, data integration, and scripting, including Python, SQL, or API-driven architectures
• Experience in data governance, curation processes, and quality assurance practices within regulated health environments
• Knowledge of NLP methods and libraries, including spaCy, NLTK, or Hugging Face Transformers
• TS/SCI clearance with a polygraph
• Bachelor’s degree

Benefits

• Health benefits
• Life insurance
• Disability insurance
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care