Infor

Infor Decision Analytics and Science (IDeAS) team is responsible for setting the innovation strategy at Infor. The Development Intern will join a diverse, well-integrated, and customer-focused team of scientists, data engineers, solution architects, application developers, and product managers with an ambitious vision to enable enterprise Machine Learning (ML) for all Infor customers across multiple industries and segments. 

A Day in The Life Typically Includes: 

•        Evaluating innovative solutions to enterprise problems in the field of Machine Learning/Artificial Intelligence.

•        Build expertise in relevant Infor OS capabilities to support development and deployment of Augmented Intelligence (AI) solutions. 

•        Write quality code in Python, SQL, JavaScript and TypeScript adhering to common software development processes such as unit and functional testing, version control, code reviews, CI/CD, and documentation. 

•        Build reusable, scalable, and reliable data pipelines for AI solutions.  

•        Integrate and embed AI solutions with industry specific Infor ERPs solutions. 

•        Implement automation tools and development frameworks for the development, testing, deployment, and management of AI solutions. 

•        Collaborating with data engineers and solution architects on data models and build required data transformations to support scientific models.

Basic Qualifications: 

•        Currently enrolled in degree or certification program. 

•        Programming experience in Python, and data-querying experience in SQL and/or PySpark, etc. 

 •    Familiarity with software development environments such as VSCode, containerization technologies such as Docker and version control using Git.  

•        Exposure to integrating RESTful APIs with front-end applications. 

•        Knowledge of Gen AI concepts.

•        Ability to complete full 12-week internship working 40 hours per week (May-August 2025). 

•     Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future.

Preferred Qualifications: 

•        Effective verbal and written communication, and presentation skills to explain difficult technical topics to everyone from scientists to engineers to business partners.  

•        Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team.  

•        Knowledge of deep learning algorithms with frameworks such as TensorFlow, PyTorch, or Keras.

•        Able to work both independently and as part of a team.