5 engineering recruiter jobs at 5 companies in Saint Cloud, FL

2w
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Civil Recruiter
Sanford, Florida, United States
OnsiteFull Time
Wharton-Smith
Wharton-Smith: General contractor specializing in water and commercial infrastructure.
5+ YOE5+ years recruiting experience (construction/engineering preferred), bachelor\u0002s or equivalent experience, strong communication, ATS and sourcing experience, ability to manage multiple requisitions.
Dayforce, iCIMS, Workday, Handshake, LinkedIn Recruiter, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Outlook
2mo
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Reliability Maintenance & Engineering – Tech School Partnerships (USA)
Seattle or Matteson or Minneapolis or Milwaukee or Des Moines or Houston or Miami or Baton Rouge or Boise or Windsor or Somerset or Niagara Falls or Orlando
OnsiteFull Time
JLL
JLLNYSE: JLL: Global commercial real estate and investment management services.
Certificate or associate degree in industrial maintenance, reliability, or automation; willingness to network with recruiters; eligible to work in the United States.
1w
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Drainage Section Manager
Lake Mary, Florida, United States
OnsiteFull Time
HNTB
HNTB: Infrastructure design and engineering for transportation and public works
8+ YOE2+ MgmtLead East Florida drainage group; manage budgets, scope, schedule and quality; recruit, develop and mentor staff; 8 years engineering experience with 2 years leadership; bachelor\u0002s in engineering required; PE preferred.
3w
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Component Design Engineer
Orlando, Florida, United States
HybridFull Time
Siemens Energy
Siemens EnergyXetra: ENR: Designs and manufactures energy technology and power generation equipment.
No specific qualifications listed; recruitment text contains placeholders to be filled by Talent Acquisition.
1mo
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Director, Artificial Intelligence Technology
Orlando, Florida, United States
OnsiteFull Time
Universal Destinations & Experiences
Universal Destinations & ExperiencesNASDAQ: CMCSA: Operates global theme parks, resorts, and entertainment experiences.
8+ YOE10+ MgmtLead design, development, and deployment of enterprise AI/ML solutions; ensure data governance and responsible AI; recruit and mentor ML engineers; translate technical work to stakeholders.
Python