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# Senior Machine Learning Engineer

- **Company:** Experis
- **Location:** Columbus, IN, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, SQL Databases, Data Analytics, Databricks
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fa9aaca41742dee8

## About the Role

Our client, a technology-driven enterprise organization, is seeking a Senior Machine Learning Engineer with Data Analyst background to join their team. As a Senior Machine Learning Engineer, you will be part of the Data & Analytics organization supporting cross-functional product and engineering teams. The ideal candidate will have strong problem-solving skills, a hands-on delivery mindset, and the ability to communicate complex concepts clearly, which will align successfully in the organization., * Senior-level experience in Machine Learning Engineering with a background in Data Analytics with hands-on delivery

 * Strong applied machine learning, predictive modeling, and statistical analysis expertise
 * Proficiency with Databricks, Python, and SQL
 * Experience building ML or analytical solutions in cloud or distributed compute environments
 * Ability to ramp quickly and contribute immediately in a short-term engagement, * Opportunity to make immediate, hands-on impact in a senior delivery role
 * Work alongside an experienced Data Scientist with deep product knowledge
 * Exposure to modern ML tooling and distributed compute environments
 * Flexible, fully remote contract engagement
 * Ability to apply advanced ML skills in real-world, production use cases

## Description

* Design, develop, and deliver applied machine learning and predictive modeling solutions
 * Perform advanced statistical analysis to solve complex business and technical problems
 * Build and optimize analytical and ML workflows on the Databricks platform
 * Develop production-ready solutions using Python and SQL in cloud or clustered environments
 * Collaborate closely with engineers, product partners, and domain experts to deliver high-impact solutions


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