AI/ML Intern

About the Role

We are seeking a highly motivated and curious AI/ML Intern to join our engineering and manufacturing team. This role is ideal for a student who is passionate about applying artificial intelligence, machine learning, analytics, and automation to solve practical engineering and manufacturing problems. The intern will work with cross-functional teams to explore opportunities, develop prototypes, analyze data, and support digital solutions that improve efficiency, quality, and business outcomes.

Responsibilities

• Support development and evaluation of AI/ML, analytics, and automation solutions for engineering and manufacturing use cases.
• Work with engineers, domain experts, and data-focused teams to identify problem statements, gather requirements, and translate business needs into technical approaches.
• Assist in collecting, cleaning, and analyzing structured and unstructured data to uncover trends, patterns, and improvement opportunities.
• Build and test prototypes, proof of concepts, dashboards, or scripts that demonstrate the value of AI/ML in real business processes.
• Support model development activities such as feature preparation, experimentation, validation, and performance tracking under guidance from the team.
• Create clear documentation, presentations, and summaries to communicate findings, recommendations, and next steps to technical and non-technical stakeholders.
• Research emerging AI/ML tools, methods, and best practices relevant to engineering, manufacturing, and digital transformation initiatives.
• Collaborate in a fast-paced environment while demonstrating curiosity, learning agility, ownership, and strong teamwork.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field.
• Basic understanding of AI/ML concepts such as supervised learning, unsupervised learning, model evaluation, and data preprocessing.
• Working knowledge of Python and familiarity with common data analysis libraries such as NumPy, Pandas, or similar tools.
• Familiarity with data analysis, visualization, and reporting techniques.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Effective written and verbal communication skills and the ability to work with cross-functional teams.

Preferred Qualifications

• Exposure to SQL, Power BI, or similar analytics and visualization tools.
• Exposure to machine learning frameworks or platforms such as scikit-learn, TensorFlow, PyTorch, or cloud-based AI/ML tools.
• Familiarity with manufacturing, engineering, plant operations, simulation, or industrial data use cases.
• Experience through academic projects, internships, hackathons, or coursework in AI, machine learning, analytics, automation, or digital product development.
• Interest in applying AI responsibly, including awareness of output quality, bias, and governance considerations.

What Success Looks Like

• Delivers high-quality analysis and prototype outputs on assigned work.
• Demonstrates strong learning agility and curiosity in new tools and business problems.
• Communicates ideas clearly and works effectively with stakeholders.
• Contributes to practical use cases that support engineering and manufacturing efficiency, quality, or innovation.