Role: Senior Data Scientist / AI Engineer
Location: US-Remote
Contract: 12 Months on W2
Senior Data Scientist / AI Engineer with deep expertise in Knowledge Graphs, Large Language Models (LLMs), and advanced Machine Learning.
This role is ideal for someone who enjoys solving complex problems, building intelligent systems endtoend, and driving measurable impact in datarich environments.
What You ll Do:
- Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning.
- Own endtoend MLOps pipelines: data ingestion, training, deployment, monitoring, CI/CD.
- Collaborate with engineering, product, and domain teams to deliver productionready AI solutions.
- Build and scale Knowledge Graph driven AI systems (ontology design, graph embeddings, reasoning).
- Develop and finetune LLMs for classification, summarization, RAG, and agentic workflows.
What We re Looking For:
- PhD (preferred) or Master s in CS, AI, ML, Data Science, or related fields.
Strong handson experience with:
- Core ML & Stats (optimization, supervised/unsupervised learning)
- NLP (semantic search, embeddings, text modeling)
- MLOps (MLflow, Kubeflow, Airflow, Docker, CI/CD)
- Proficiency in Python, PyTorch/TensorFlow, HuggingFace, LangChain, and cloud platforms.
- Ability to translate complex ideas into scalable, realworld systems.
- Knowledge Graphs (RDF/OWL, Neo4j, graph ML)
- LLMs & Transformers (finetuning, RAG, prompt engineering)
Preferred
- Healthcare insurance / Managed Care (MCO) experience familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus.
- Experience with vector databases, hybrid semanticneural architectures, or agentic AI systems.
- Background in explainable or responsible AI.
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