Vizient Hiring AI/ML Engineers in Chicago & Edina | Pays Up to $116K

On: May 20, 2026 9:22 PM

Vizient Hiring AIML Engineers in Chicago & Edina Pays Up to $116K

Looking to build a career at the intersection of Artificial Intelligence and healthcare technology? Vizient is offering an exciting opportunity for AI/ML Engineers to join its growing technology team in Chicago and Edina. This role is ideal for professionals passionate about machine learning, predictive analytics, data-driven solutions, and building intelligent systems that can create real-world impact. Candidates will have the opportunity to work on innovative projects, collaborate with experienced teams, and contribute to cutting-edge AI initiatives while enjoying competitive compensation packages.

Job Overview

Field	Details
Company Name	Vizient
Role	Associate AI/ML Engineer
Qualification	Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field
Job Location	Chicago & Edina, United States
Salary	Up to $116K per year
Work Type	Hybrid / Full-Time
Job Type	Permanent
Job Level	Entry Level
Industry	Healthcare Technology / Information Technology

Job Description

In this role, you will develop and support machine learning and data-driven solutions that address business and operational challenges within enterprise platforms, including Palantir. You will collaborate with cross-functional teams to build scalable AI/ML workflows, contribute to Operational Database (ODB) 2.0 transformation initiatives and Metrics Ontology methodology work, and support the full machine learning lifecycle from data preparation through deployment and monitoring. You will analyze complex datasets, develop production-ready solutions, and apply best practices for data governance, security, and model validation.

Responsibilities:

Develop, test, and deploy machine learning models to support business and operational use cases.
Build and maintain data pipelines to ingest, process, and transform structured and unstructured data.
Perform exploratory data analysis to identify trends, patterns, and data quality issues.
Write clean, efficient, and maintainable code for data processing and model development.
Support end-to-end machine learning lifecycle activities, including data preparation, model evaluation, deployment, and performance monitoring.
Develop workflows and integrate data sources within enterprise platforms, including Palantir.
Collaborate with data engineers, analysts, and clients to translate business requirements into technical solutions.
Document code, methodologies, and processes to support reproducibility and compliance standards.
Apply best practices for data governance, security, and model validation.
Troubleshoot and improve model and pipeline performance within production environments.

Qualifications:

Relevant degree preferred.
No prior experience required.
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field required.
Proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch highly preferred.
Working knowledge of SQL and experience with relational databases highly preferred.
Understanding of machine learning concepts, including regression, classification, clustering, and model evaluation.
Familiarity with software engineering fundamentals, including version control, testing, and debugging.
Exposure to cloud or data platforms such as AWS, Azure, or Palantir preferred.
Strong analytical, problem-solving, written, and verbal communication skills.
Ability to work collaboratively in a team environment while managing multiple priorities.