Senior Machine Learning Engineer

Experis United State
Remote
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AI Summary

Design, develop, and deliver applied machine learning and predictive modeling solutions. Collaborate closely with engineers, product partners, and domain experts to deliver high-impact solutions. Strong applied machine learning, predictive modeling, and statistical analysis expertise required.

Key Highlights
Design, develop, and deliver applied machine learning and predictive modeling solutions
Collaborate closely with engineers, product partners, and domain experts
Strong applied machine learning, predictive modeling, and statistical analysis expertise required
Key Responsibilities
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
Technical Skills Required
Databricks Python SQL Machine Learning Predictive Modeling Statistical Analysis
Benefits & Perks
Opportunity to make immediate, hands-on impact in a senior delivery role
Flexible, fully remote contract engagement
Exposure to modern ML tooling and distributed compute environments

Job Description


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 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


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!

About ManpowerGroup, Parent Company Of

Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast‑changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity – as a best place to work for Women, Inclusion, Equality and Disability – and in 2022 ManpowerGroup was named one of the World’s Most Ethical Companies for the 13th year, confirming our position as the brand of choice for in‑demand talent.


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