Senior AI Engineer — Healthcare ML & LLMs on Azure

Shrive Technologies LLC; Texas; On-site; USD 120,000 - 220,000; Full time

Job summary

Shrive Technologies LLC in the United States seeks an experienced ML Engineer to develop ML, DL, and generative AI models for healthcare use cases (claim outcomes, denials, next-best-action). You will build end-to-end ML pipelines, from feature engineering to training, validation, and monitoring, using Azure Databricks and enterprise platforms.

You will collaborate with data engineers and cross-functional teams to translate requirements into measurable model objectives, perform EDA, apply RAG

Qualifications

• Bachelor's or Master's degree in Data Science, CS, Statistics, Applied Mathematics or related field.
• 3-7+ years hands-on experience developing ML/AI models in an applied industry (healthcare preferred).
• Strong proficiency in Databricks Python (pandas, scikit-learn, NumPy, TensorFlow, MLflow) and SQL.

Responsibilities

• Develop ML, DL, and generative AI models for healthcare use cases (claim outcomes, denials classification, next-best action).
• Build end-to-end ML pipelines including feature engineering, training, validation, and monitoring.

Skills

Databricks

Python

SQL

Agentic AI frameworks

Education

Bachelor's or Master's in Data Science/CS/Statistics/Math

Tools

Azure Databricks

MLflow

Azure ML

Delta Lake

Azure Data Factory

Job description

Shrive Technologies LLC in the United States seeks an experienced ML Engineer to develop ML, DL, and generative AI models for healthcare use cases (claim outcomes, denials, next-best-action). You will build end-to-end ML pipelines, from feature engineering to training, validation, and monitoring, using Azure Databricks and enterprise platforms.

You will collaborate with data engineers and cross-functional teams to translate requirements into measurable model objectives, perform EDA, apply RAG