ML/AI Intern

Company Description KeyPulse Ltd is dedicated to empowering manufacturing MSMEs worldwide through comprehensive, 360-degree transformation. The company delivers an integrated mix of people, processes, and systems, packaged as a service model that is commercially affordable. By focusing on data-driven decision-making, KeyPulse helps manufacturers improve efficiency, productivity, and strategic planning. Team members collaborate in a dynamic environment that blends technology, operations, and consulting to drive measurable impact for clients.

Role Description The ML/AI Intern role at KeyPulse Ltd is a remote position. The intern will support the design, development, and testing of machine learning and AI models that enhance data-driven decision-making for manufacturing clients. Daily tasks may include collecting and preprocessing datasets, exploring model architectures, implementing algorithms, and evaluating performance metrics under the guidance of senior team members. The intern will document experiments, prepare clear reports, and contribute to integrating models into existing systems and workflows. This role also involves collaborating with cross-functional colleagues, participating in code reviews, and continuously learning new ML/AI tools and best practices.

Qualifications

• Strong foundation in machine learning and AI concepts, including supervised and unsupervised learning, model evaluation, and basic statistics.
• Proficiency in at least one programming language commonly used in ML (such as Python), and familiarity with libraries/frameworks (for example, NumPy, pandas, scikit-learn, TensorFlow, or PyTorch).
• Ability to work with data: collecting, cleaning, transforming, and visualizing datasets, with attention to data quality and reproducibility.
• Experience or coursework related to applied ML/AI projects, ideally involving real-world or academic case studies in analytics, optimization, or forecasting.
• Comfort working in a remote environment, with strong communication, time management, and collaboration skills.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Interest in manufacturing, operations, or industrial systems and motivation to apply ML/AI to solve business and process challenges.