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Senior ML/GenAI Ops Engineer - Milwaukee, WI

Harley-Davidson - Senior ML/GenAI Ops Engineer - Milwaukee, WI

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

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About this role

Senior ML/GenAI Ops Engineer - Milwaukee, WI Senior ML/GenAI Ops Engineer - Milwaukee, WI Auto req ID: 49054 Title: Job Function: Job Category Digital Location: Workplace Category: Company: Full or Part-Time: Shift: At Harley-Davidson, we are building more than machines. It's our passion and commitment to continue the evolution of this storied brand, and heighten the desirability of the Harley-Davidson experience. To keep building our legend and leading our industry through innovation, evolution, and emotion we need the best and brightest talent. We stand for the timeless pursuit of adventure. Freedom for the soul. Are you ready to join us? Harley-Davidson Motor Company, founded in a humble Milwaukee backyard shed in 1903, still calls the city home. Today, its Corporate Campus includes a 4.8-acre public park-a welcoming greenspace open to all. Join our team as a Senior ML/GenAI Ops Engineer - Milwaukee, WI. Job Summary: We are looking for a skilled Sr. Data Engineer - ML & AI Operations to join our growing team. In this role, you will be responsible for designing, developing, and deploying & operationalizing machine learning and generative AI (GenAI) platforms to deliver high-impact solutions to business challenges and optimize processes. This role focuses on the operationalization and automation of machine learning and AI solutions, ensuring they are seamlessly integrated into production environments with a high degree of scalability, reliability, and compliance with ethical guidelines. The ideal candidate will bring strong technical expertise in data engineering

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