AI Architect @ Texas _ Onsite_ Only on W2

Role: AI Architect Location: USA \_ Onsite Contract 12 months Only on W2 Please share the resume at aravind@burgeonits.com Role Overview We are seeking a Senior Data Scientist / AI Engineer with strong expertise in Knowledge Graphs, Large Language Models (LLMs), and advanced Machine Learning. This role involves designing and deploying production-ready AI systems that solve complex business problems in data-rich environments. Key Responsibilities · Design and develop advanced ML models (NLP, predictive modeling, optimization, statistical learning). · Build and deploy end-to-end MLOps pipelines (data ingestion, training, deployment, monitoring, CI/CD). · Develop and fine-tune LLMs for classification, summarization, RAG, and agent-based workflows. · Design and scale Knowledge Graph–driven AI systems (ontology design, RDF/OWL, graph embeddings, reasoning). · Collaborate with engineering and product teams to deliver scalable AI solutions in production. Required Skills · Master’s or PhD in Computer Science, AI, ML, Data Science, or related field. · Strong hands-on experience in: · Machine Learning & Statistics (supervised/unsupervised learning, optimization) · NLP (semantic search, embeddings, text modeling) · LLMs & Transformers (fine-tuning, RAG, prompt engineering) · Knowledge Graphs (RDF, OWL, SPARQL, Neo4j, graph ML) · MLOps (MLflow, Kubeflow, Airflow, Docker, CI/CD) · Proficiency in Python · Experience with PyTorch or TensorFlow · Hands-on with HuggingFace, LangChain · Experience with cloud platforms (AWS, Azure, or GCP) Preferred · Healthcare Insurance / Managed Care (MCO) domain experience · Experience with vector databases (Pinecone, Weaviate, FAISS) · Knowledge of hybrid semantic-neural architectures · Experience with explainable or responsible AI systems