Software QA Tester Intern/Co-op (Fall 2026)

About the role

This position is responsible for developing and implementing predictive maintenance solutions using advanced machine learning algorithms.

Responsibilities

• Develop and maintain predictive maintenance models using data from various sources.
• Collaborate with cross-functional teams to integrate predictive maintenance solutions into existing systems.
• Perform data analysis to identify trends and optimize maintenance schedules.
• Stay updated with the latest advancements in machine learning and predictive maintenance techniques.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• At least 2 years of experience in predictive maintenance or machine learning.
• Strong proficiency in Python, R, or similar programming languages.
• Experience with data preprocessing, model training, and evaluation.
• Excellent problem-solving skills and attention to detail.

Qualifications

• Experience with big data technologies such as Hadoop or Spark.
• Knowledge of cloud platforms like AWS or Azure.
• Understanding of statistical methods and time series analysis.

Skills

• Advanced knowledge of machine learning libraries such as TensorFlow or Scikit-learn.
• Experience with data visualization tools like Matplotlib or Tableau.
• Good understanding of database management systems (DBMS).

Benefits

• Comprehensive health insurance coverage.
• Flexible work schedule.
• Professional development opportunities.
• Employee discounts on company products/services.
• Annual performance-based bonuses.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position with flexible working hours.

Company

We are a leading provider of innovative solutions in the field of predictive maintenance and autonomy and robotics. We offer a dynamic and collaborative work environment where you can make a significant impact.