Predictive Maintenance Engineer

What role you will play in team: Develop and implement machine learning models for predictive maintenance of industrial equipment.

What you will do: Analyze sensor data to predict equipment failures and optimize maintenance schedules.

Key responsibility:

• Collect and analyze sensor data from industrial equipment.
• Develop and implement machine learning models for predictive maintenance.
• Monitor model performance and make adjustments as needed.
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  Collaborate with maintenance teams to implement maintenance schedules.
• Communicate findings and recommendations to stakeholders.

Required Qualification and Skills:

• Bachelor's or Master's degree in engineering, computer science, or a related field.
• Experience with machine learning algorithms and techniques.
• Proficiency in Python and related libraries (e.g., scikit-learn, TensorFlow).
• Experience with data visualization and reporting tools.
• Understanding of industrial equipment and maintenance practices.

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Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional development and advancement.
• A challenging and rewarding work environment.
• The opportunity to make a significant contribution to a growing company.

A Day in the Life: A typical day involves data analysis, model development, collaboration with maintenance teams, and monitoring model performance.