Senior Machine Learning Engineer Job at ManpowerGroup Global, Inc. in Columbus
ManpowerGroup Global, Inc., Columbus, IN, United States
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.
Job Title:
Senior Machine Learning Engineer
Location:
Remote
Length of Assignment:
6+ month engagement, with a target start in early to mid April
What’s the Job?
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
What’s Needed?
Senior‑level experience in
Machine Learning Engineering with a background inData 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
What’s in it for me?
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
If this is a role that interests you and you’d like to learn more, click
apply now
and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
#J-18808-Ljbffr
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.
Job Title:
Senior Machine Learning Engineer
Location:
Remote
Length of Assignment:
6+ month engagement, with a target start in early to mid April
What’s the Job?
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
What’s Needed?
Senior‑level experience in
Machine Learning Engineering with a background inData 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
What’s in it for me?
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
If this is a role that interests you and you’d like to learn more, click
apply now
and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
#J-18808-Ljbffr