Predictive Maintenance Specialist

2 days ago

Bengaluru, Karnataka, India beBeePredictiveMaintenance Full time ₹ 15,00,000 - ₹ 20,10,000
Job Title: Predictive Maintenance Specialist

We are seeking an experienced Predictive Maintenance Specialist to join our team. The successful candidate will have a strong background in mechanical engineering, data analysis, and machine learning.

Key Responsibilities:
  1. Predictive Analytics Implementation:
  • Implement predictive maintenance strategies for major equipment, including compressors, pumps, gas turbines, steam turbines, motors, blower, fans, fired heaters, distillation columns, transformers, and heat exchangers.
Data Collection and Analysis:
  • Gather data from sensors, maintenance logs, and operational data.
  • Clean, validate, and prepare data for analysis.
  • Develop and implement data quality control processes.
  • Analyze data to identify trends, patterns, and anomalies related to equipment performance and potential failures.
Predictive Modeling:
  • Develop and implement predictive models using machine learning algorithms to forecast potential equipment failures.
  • Evaluate the performance of predictive models and refine them over time.
  • Integrate predictive models into existing systems and workflows.
Maintenance Optimization:
  • Use predictive insights to optimize maintenance schedules and prevent unplanned downtime.
  • Recommend maintenance strategies based on predicted failure risks.
  • Collaborate with maintenance teams to implement optimized maintenance plans.
Qualifications
  1. B.E/B.Tech (Mechanical/Chemical Engineering) or equivalent degree from a recognized university.
  2. Minimum 5+ years' experience in predictive maintenance in industrial sectors, preferably oil & gas.
Required Skills
  1. Knowledge of reliability principles, tools, and methodologies (e.g., FMEA, RCFA, RCM, PMO).
  2. Rich experience in AVEVA Predictive Analytics or similar solutions.
  3. Strong understanding of mechanical systems and equipment.
  4. Proficiency in data analysis and statistical modeling, including statistical modeling, machine learning algorithms, and data visualization.
  5. Proficiency in programming languages such as Python, R, or others commonly used for data analysis and machine learning.
  6. Experience developing and implementing predictive models using machine learning algorithms, such as regression, classification, and time series analysis.
  7. Ability to effectively communicate technical information to both technical and non-technical audiences.
  8. Experience with CMMS, SCADA, and other relevant software and tools.
  9. Rotating machinery Fault Analysis.
  10. Static equipment Fault analysis.
  11. Ability to engage with client/team stakeholders at a senior level.

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