Predictive Maintenance Engineer

What role you will play in team: You will develop and implement machine learning models for predictive maintenance of our infrastructure, reducing downtime and improving operational efficiency.

What you will do: You will collect and analyze sensor data, build and train predictive models, and integrate them into our existing maintenance systems.

Key responsibility:

• Collect and preprocess sensor data from various sources.
• Develop and train machine learning models for predicting equipment failures.
• Integrate predictive models into existing maintenance systems.
• Monitor model performance and make adjustments as needed.
• Communicate findings and recommendations to stakeholders.
• Collaborate with maintenance teams to improve operational efficiency.

Required Qualification and Skills:

• Bachelor's degree in engineering, computer science, or a related field.
• 1-3 years of experience in predictive maintenance or a related field.
• Proficiency in Python and machine learning libraries (scikit-learn, TensorFlow, etc.).
• Experience working with time-series data.
• Strong analytical and problem-solving skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional development and advancement.
• Work on challenging and impactful projects.
• Work from home option.

A Day in the Life: A typical day involves data analysis, model training, system integration, and collaboration with maintenance teams.