Work Model: Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location at least 3 days per week (Monday–Thursday), with flexibility to work remotely up to 2 days, including Friday. _
Location:Michigan City, Indiana, United States Job ID: R0140895 Date Posted:2026-08-06 Company Name:HITACHI GLOBAL AIR POWER US, LLC Profession (Job Category):Human Resources Job Schedule: Full time Remote:No Job Description: The Company We build the machines that power
Location:Michigan City, Indiana, United States Job ID: R0139729 Date Posted:2026-07-29 Company Name:HITACHI GLOBAL AIR POWER US, LLC Profession (Job Category):Production & Skilled Trades Job Schedule: Full time Remote:No Job Description: Hitachi Global Air Power: We build
Location:Michigan City, Indiana, United States Job ID: R0141164 Date Posted:2026-08-10 Company Name:HITACHI GLOBAL AIR POWER US, LLC Profession (Job Category):Engineering & Science Job Schedule: Full time Remote:No Job Description: Job Title: Mechanical Engineer - Sustaining Engineering
Location:Michigan City, Indiana, United States Job ID: R0133672 Date Posted:2026-06-16 Company Name:HITACHI GLOBAL AIR POWER US, LLC Profession (Job Category):Production & Skilled Trades Job Schedule: Full time Remote:No Job Description: Hitachi Global Air Power: We build
Location:Michigan City, Indiana, United States Job ID: R0124158 Date Posted:2026-03-23 Company Name:HITACHI GLOBAL AIR POWER US, LLC Profession (Job Category):Production & Skilled Trades Job Schedule: Full time Remote:No Job Description: Hitachi Global Air Power: We build
Job Description Job Title: System Safety & Reliability Engineer Working Pattern: Fulltime Working location: Indianapolis, IN As a System Safety & Reliability Engineer, you’ll be part of a team that ensures the safety and reliability attributes
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with