BURGEON IT SERVICESRemote
Senior Data Scientist / AI Engineer USA
United States
Contract
2 hours ago
H1B Sponsor Likely
Key skills
Machine Learning & StatisticsNLPLLMs & TransformersKnowledge GraphsMLOpsPythonPyTorchTensorFlowCloud platformsHealthcare Insurance domainVector databasesHybrid architecturesExplainable AI systemsAIMachine LearningMLLarge Language ModelsRAGLangChainMLflowKubeflowPineconeWeaviateAirflowAWSAzureGCPDockerNeo4jCI/CD
About this role
BURGEON IT SERVICES is seeking a Senior Data Scientist / AI Engineer with expertise in Knowledge Graphs and Large Language Models. This role involves designing and deploying production-ready AI systems to solve complex business problems in data-rich environments.
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
Requirements:
- 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)
- Strong hands-on experience in NLP (semantic search, embeddings, text modeling)
- Strong hands-on experience in LLMs & Transformers (fine-tuning, RAG, prompt engineering)
- Strong hands-on experience in Knowledge Graphs (RDF, OWL, SPARQL, Neo4j, graph ML)
- Strong hands-on experience in 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)
- 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