Quick answer: 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.
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.
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.
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.
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.
AIshala-vetted free courses sequenced for this role. Total prep time: 8 weeks.
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