BURGEON IT SERVICES is seeking a Senior Data Scientist / AI Engineer with expertise in Knowledge Graphs and Large Language Models. The role involves designing advanced ML models, owning MLOps pipelines, and collaborating with teams to deliver AI solutions.
Responsibilities:
- Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning
- Own end to end MLOps pipelines: data ingestion, training, deployment, monitoring, CI/CD
- Collaborate with engineering, product, and domain teams to deliver production ready AI solutions
- Build and scale Knowledge Graph–driven AI systems (ontology design, graph embeddings, reasoning)
- Develop and fine tune LLMs for classification, summarization, RAG, and agentic workflows
Requirements:
- PhD (preferred) or Master's in CS, AI, ML, Data Science, or related fields
- Strong hands on experience with Core ML & Stats (optimization, supervised/unsupervised learning)
- Strong hands on experience with NLP (semantic search, embeddings, text modeling)
- Strong hands on experience with MLOps (MLflow, Kubeflow, Airflow, Docker, CI/CD)
- Proficiency in Python, PyTorch/TensorFlow, HuggingFace, LangChain, and cloud platforms
- Ability to translate complex ideas into scalable, real world systems
- Knowledge Graphs (RDF/OWL, Neo4j, graph ML)
- LLMs & Transformers (fine tuning, RAG, prompt engineering)
- 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 semantic neural architectures, or agentic AI systems
- Background in explainable or responsible AI