Internship in Equipment Engineering Department - Continuous Improvement
Internship in Equipment Engineering Department - Continuous Improvement
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1 Vacancy
Job Description
First Role:
Job Description:
- Conduct time studies on existing preventive maintenance tasks to understand the current process and identify inefficiencies.
- Analyze data to identify patterns bottlenecks and opportunities for improvement in maintenance workflows.
- Propose and design process improvements to make preventive maintenance tasks faster and more efficient.
- Collaborate with the maintenance team to test and implement proposed process improvements.
- Create and maintain detailed documentation of the time study results process changes and improvement recommendations.
- Present findings and progress updates to department managers and senior leadership.
Second Role:
Job Description:
- Utilize machine learning models to analyze large datasets and identify patterns related to system performance and reliability.
- Design develop and refine machine learning models to predict potential failures and recommend proactive interventions.
- Collaborate with the team to validate model accuracy and ensure its applicability in realworld scenarios.
- Assist in the development of a webbased system to track predictive maintenance insights and provide realtime updates.
- Document findings and present actionable insights to stakeholders.
Qualifications :
First Role:
- Currently pursuing a degree in Industrial Engineering Mechanical Engineering or a related field.
- Strong analytical and problemsolving skills.
- Knowledge or coursework in time study process optimization and Lean principles (e.g. Kaizen Six Sigma) is a plus.
- Proficiency in Microsoft Excel; experience with data analysis and process mapping tools is a plus.
- Excellent communication skills both written and verbal.
- Selfmotivated able to work independently and within a team environment.
- Strong attention to detail and ability to work in a fastpaced environment.
- Fluent in spoken & written English
- Preferably able to commit fully for 6 months (fulltime internship).
Second Role:
- Experience or coursework in developing and implementing machine learning models (e.g. using Python TensorFlow or Scikitlearn).
- Proficiency in JavaScript along with basic knowledge of HTML and CSS is required.
- Knowledge of Tableau is an added advantage but not compulsory.
- Strong analytical and problemsolving skills with a passion for working with big data.
- Basic understanding of predictive maintenance concepts failure prediction strategies and webbased system development.
- Currently pursuing a degree in Data Science Computer Science Engineering or a related field.
- Fluent in spoken & written English
- Preferably able to commit fully for 6 months (fulltime internship).
Additional Information :
- Internship positions available for intake starting January 2025 and onward.
- Please include internship start date and end date in the application.
- Open to Local Students who are required to complete an internship as part of their academic program.
Remote Work :
No
Employment Type :
Intern
Employment Type
Intern
