AI & Data Analytics Co-op/Intern
AMOTHouston, Texas, United States
Posted May 8, 2026
Internship
About the Company
AMOT designs and manufactures advanced diesel engine safety systems, temperature control valves, and condition‑monitoring solutions for rotating equipment across the Oil & Gas, Power Generation, Marine, and Industrial sectors. The company’s product portfolio spans thermostatic, fuel metering, and shut‑off valves, as well as electronic and pneumatic instrumentation, bearing‑monitoring sensors, and hazardous‑area protection devices. With a strong brand suite that includes AMOT, Chalwyn, Rigsaver, and Roda Deaco, the firm delivers integrated safety, performance, and reliability solutions tailored to each application. AMOT’s reputation for engineering excellence, custom‑design capability, and industry‑leading technology sets it apart as a trusted partner for operators seeking to protect assets and optimize operations.
Job Description
The AI & Data Analytics Co-op/Intern will engage with stakeholders to map workflows, identify process bottlenecks, and propose intelligent automation opportunities using AI tools. They will contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem.
Requirements
- Currently pursuing a Master's degree in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
- Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
- Working knowledge of SQL — able to write joins, aggregations, and window functions against a relational database.
- Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
- Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
- Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Benefits
- Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
- Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
- A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.
