6 learning systems specialist jobs at 6 companies in Bowling Green, FL
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2mo
Receiving Specialist
Tampa, Florida, United States
$14-$16/hrOnsitePart Time
Comoto Holdings: Retailer of motorcycle parts, riding gear, and aftermarket accessories.
Retail/inventory experience; strong computer and math skills; ability to work retail hours; attention to detail; experience with POS systems; eager to learn; motorcycle interest a plus.
The Mosaic CompanyNYSE: MOS: Produces and distributes phosphate and potash crop nutrients.
7+ YOEBachelor's in Business/HR or related, 7+ years related experience, talent management and data/metrics skills, stakeholder alignment, proficiency in Microsoft Excel, HR systems and AI digital learning solutions; project management preferred.
Microsoft Excel, HR systems and tools, AI digital learning solutions
Mygrant Glass: Wholesale distributor of automotive glass products.
Valid Florida driver\u0000s license, ability to lift up to 75 lbs, organized with basic math skills, able to operate warehouse equipment, and willing to learn RFID and iPad/Bluetooth inventory systems.
Choice Legal: Provides nationwide medical record retrieval services for legal professionals.
High school diploma or GED required; college education desirable. Requires data entry ability, 30–40 WPM typing, analytical and problem-solving skills, prioritization, attention to detail, and ability to learn systems quickly.
Spieldenner Financial Group: Provides life insurance and mortgage protection products to families.
Coachable, self-disciplined candidate willing to learn sales and enrollment systems; entry-level and licensed applicants considered; ability to follow training and engage leads.
MLOps Engineer / AI ML Engineer (Specialist - Data Sciences)
Tampa, Florida, United States
$90k-$134k/yrOnsiteFull Time
LTIMindtreeNational Stock Exchange of India: LTIM: Global technology consulting and digital solutions.
5+ YOERequires 5–7 years of MLOps experience, with expertise in ML pipelines, model deployment, monitoring, automation, infrastructure, lifecycle management, and production machine learning systems.
MLOps, Machine Learning, Continuous Integration and Continuous Delivery (CICD)