Senior Data Scientist

We’re looking for a few 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 end-to-end, and driving measurable impact in data-rich environments.

What You’ll Do:

• 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.

What We’re Looking For:

• 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)
• 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, real-world systems
• Knowledge Graphs (RDF/OWL, Neo4j, graph ML)
• LLMs & Transformers (fine-tuning, 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 semantic-neural architectures, or agentic AI systems.
• Background in explainable or responsible AI.