Senior Machine Learning Engineer

Experis
Columbus, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Columbus, United States of America

Tech stack

Python
Machine Learning
SQL Databases
Data Analytics
Databricks

Job 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

Requirements

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

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