AI Architect USA _ Remote on w2 need onlu and usc

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Remote
$50 - $80/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • 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.

Summary

Position: AI Architect
Location: USA _ Remote
Duration: Long Term Contract
Note: W2 Requirement
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 Google Cloud Platform)
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10500016
  • Position Id: 8921316
  • Posted 4 hours ago
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