Bengaluru · On-site

Predictive Maintenance Software Engineer (MWM Digital)

Full-timePosted 9 Nov

Salary: Not disclosed
Experience: 0–1 years
Eligible batches: 2024 · 2025 · 2026
Degree: Bachelor's, Master's
Location: BengaluruOn-site
Apply by: 24 Nov 2026

About the role

Caterpillar is seeking a software engineer to build predictive‑maintenance and anomaly‑detection solutions for gas engines. You will work with large time‑series datasets, create machine‑learning models, and turn engine failure insights into actionable software components.

Responsibilities

Design and implement algorithms for predictive maintenance, anomaly detection, and remaining useful life estimation.
Analyse massive machine and time‑series data to uncover failure patterns.
Develop, validate, and continuously improve ML models and analytics pipelines.
Convert engine failure mechanisms into clear software requirements and analytical models.
Partner with service engineers, product experts and external development teams.

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Eligibility

Graduated in Data Science, Computer Science or a related discipline.
Strong analytical mindset with excellent communication skills.
Self‑motivated, able to work independently and take ownership.

Skills

Proficiency in Python (pandas, NumPy) and SQL.
Experience with machine‑learning and AI techniques, especially time‑series analysis.
Hands‑on experience with large‑scale data platforms and cloud services such as Azure or AWS.
Familiarity with CAT ACE / ACEint and CAT Foresight is a plus.

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Asked for

Python
SQL
Machine learning
Time series analysis
Azure
AWS

Nice to have

Cat ace
Aceint
Cat foresight

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Benefits

Opportunity to contribute to cutting‑edge predictive‑maintenance technology.
Collaborative, global team environment focused on sustainability.
Access to Caterpillar’s extensive resources and learning programs.

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About Caterpillar

Makes construction and mining machinery, plus engines, gas turbines and locomotives for energy and rail customers, with an engineering centre in Chennai.

Founded 1925 · 5000+ employees · HQ Irving, Texas, United States

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