Why This Role Stands Out
Advance your career as a Senior Data Scientist or AI Engineer with this exciting remote opportunity, offering a competitive salary of $120,000 - $125,000 and the chance to build cutting-edge agentic AI solutions. You'll thrive here if you have deep expertise in LLMs, knowledge graphs, and Azure Cloud, combined with a passion for end-to-end AI system development and a desire to make a significant impact in the healthcare payer space. Don't miss out on this chance to grow your skills and contribute to innovative projects.
Quick Overview
Job Description
Greetings,
Role : Senior Data Scientist / AI Engineer
Location : Remote
Salary: $120k to $125k
IMP: - Skills - Agentic AI (A2A , MCP) , Azure Cloud , healthcare -payer space experience.
Exp : 10+
Job description:-
We re looking for a few Senior Data Scientist / AI Engineer with deep expertise in advanced Machine Learning, Large Language Models (LLMs) and Knowledge Graphs,.
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.
Thanks
Nikhil
Email id:
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