AI & Automation Development Intern
About the role
HMH is a leading provider of drilling solutions, offering a wide range of products and services that are designed to be the safest and most efficient in the industry. Apart from our expertise in land and offshore operations, we are continuously expanding our knowledge within subsea mining, geothermal, onshore and offshore construction, as well as offshore wind industries. With offices in 16 countries across five continents, HMH maintains a strong global presence. HMH is a frontrunner in developing and providing automation and digital solutions for our drilling customers to support their endeavor to improve efficiency and environmental footprint. Equipped with its brilliant team of engineers, HMH is committed to actively exploring opportunities in other industries. For us, this means new opportunities and challenges that we need creativity and great minds to solve in our efforts to innovate our future. Do you want to join our team? At HMH we value our employees. We offer exciting job opportunities that will give you the opportunity to grow in your role and give you the professional development you deserve. In addition to competitive pay and benefits, you will join a casual and inclusive work environment. Our environment is based on respect and having a good day at work, so you can expect to join a knowledgeable, global team who help each other to succeed.
Responsibilities
- Assist in gathering business requirements and documenting process steps, decision points, exceptions, and expected outcomes for AI-enabled automation opportunities.
- Participate in the development, testing, and evaluation of AI agents and automated workflows under the guidance of experienced team members.
- Assist with connecting approved data sources, such as databases, data warehouses, files, APIs, and business applications, to support workflow decisions.
- Help develop workflow logic that combines defined business rules with AI-generated recommendations or decisions.
- Support the implementation of human-review and