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Junior Engineer — AI/Predictive Maintenance Cell
T1
BHEL (Bharat Heavy Electricals Ltd)

Junior Engineer — AI/Predictive Maintenance Cell

BHEL invites applications for Junior Engineers on contract for the AI/Predictive Maintenance cell at the Bhopal manufacturing complex. ₹55,000-₹70,000/month. 2-year contract. Eligibility: B.Tech (Mechanical/Electrical/Mechatronics) with 1-3 years experience. Required: Python basi
government-psu
ML Engineer
junior
on-site

Quick take: BHEL hiring Junior ML Engineer for AI/Predictive Maintenance (2-year contract, ₹55–70K/month). B.Tech Mechanical/Electrical + 1–3 years required. Python, time-series ML essential. Direct contract apply, interview-only, no exam route. Bhopal, on-site.

About this Junior ML Engineer role at BHEL (Bharat Heavy Electricals Ltd)

BHEL, India's flagship government PSU in heavy electrical manufacturing, is hiring junior engineers for its AI/Predictive Maintenance cell in Bhopal. This is a direct-application contract role—no exam, just interview—where you'll work on real industrial AI problems from day one. If you're a junior engineer in Mechanical, Electrical, or Mechatronics who knows Python basics and wants hands-on experience with time-series machine learning and IoT, this Bhopal role is a rare government entry point into AI.

What you'll do

  • Build and refine time-series ML models to predict equipment failures and optimize maintenance schedules across BHEL's manufacturing units.
  • Work with industrial IoT sensor data—temperature, vibration, pressure readings—to train and validate predictive models.
  • Develop digital twin simulations to test maintenance strategies before real-world deployment.
  • Write Python code for data preprocessing, feature engineering, and model evaluation pipelines.
  • Collaborate with mechanical and electrical domain experts to translate maintenance challenges into ML problems.

Who should apply

You need a B.Tech in Mechanical, Electrical, or Mechatronics engineering and 1–3 years of experience. The role is explicitly for junior engineers and freshers-with-experience—no seniority gatekeeping. You should have Python basics solid, some exposure to time-series ML concepts (moving averages, ARIMA, neural networks), and genuine curiosity about industrial IoT sensors and digital twins. If you've worked on any ML project—even a college capstone—and can talk through your code, you're competitive.

Salary & offer in context

BHEL is offering ₹55,000–₹70,000/month for this 2-year contract role. For an ML Engineer salary in India at junior level, this is solid government-sector compensation—comparable to early-career AI engineer roles in private startups, with the stability of a PSU employer. The contract is fixed-term (2 years), so renewal or conversion would depend on performance and cell expansion.

Path to apply

This is a direct-application role—no BHEL competitive exam required, just online portal submission and interview. Apply directly via BHEL's careers portal (bhel.com/careers) with your resume, Python projects, and any ML coursework. The application deadline is June 2, 2026, so apply within the next few weeks. This is one of the rare government AI roles in India with no exam barrier; emphasis on direct interview and technical depth.

One Glance

Sector
Government-psu
விண்ணப்பிக்கும் முறை
Online-portal
Role
ML Engineer
Experience
Junior
Salary
₹55K–₹70K/mo
Location
Bhopal
வேலை ஏற்பாடு
On-site
Deadline
2 Jun 2026
கடைசியாக சரிபார்க்கப்பட்டது
2026-05-31T00:00:00.000Z

ML Engineer வேலைகளுக்கு தகுதி பெற free courses

இந்த வேலைக்குத் தேவையான course ladder — AIshala மூலம் சரிபார்க்கப்பட்ட free courses. மொத்தமாக 8 வாரங்கள்.

Step 1
Free AI Basics
Teaches Python ML fundamentals and deep learning frameworks needed to build predictive maintenance models on BHEL's IoT sensor streams.
Step 2
Practice + Portfolio
Covers time-series forecasting and RNNs critical for predicting equipment failure patterns in industrial maintenance workflows.
Step 3
Confident-ஆ விண்ணப்பிக்கவும்
Teaches image recognition techniques applicable to digital twin simulations and visual anomaly detection in BHEL's manufacturing units.

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