What You'll DoClean, organize, and label machine sensor data.Analyze electrical current signals and identify meaningful patterns.Explore signal features that distinguish machine states such as running, idle, stopped, abnormal behavior, and production cycles.Build and evaluate baseline machine learning models for machine state detection and piece-count estimation.Visualize data and communicate findings clearly.Document experiments, model performance, assumptions, and limitations.Collaborate with Product and Engineering teams to translate research findings into product improvements and requirements.RequirementsEducationCurrently pursuing or recently completed (2025 or 2026) a degree in:Computer Science, Artificial Intelligence, Data Science, Computer EngineeringGood knowledge of Python.Understanding of data analysis and machine learning fundamentals.Familiarity with Pandas, NumPy, Scikit-learn, or similar tools.Basic understanding of statistics and data visualization.Exposure to signal processing, IoT, or time-series data is a plus.Soft SkillsStrong analytical and problem-solving skills.Curiosity and eagerness to learn.Attention to detail.Good communication and documentation skills.Ability to work collaboratively in a team environment.BenefitsWhy Join Us?Work on real industrial AI and machine learning use cases.Gain practical experience with IoT and manufacturing data.Learn from experienced Product and Engineering professionals.Develop skills in data analysis, machine learning, and applied AI.Contribute to innovative projects with direct business impact.Build a strong foundation for a career in Data Science and Machine Learning.