Enterprise Application Engineering Intern- Finance - Monterrey, México - GE Gas Power

GE Gas Power

Empresa verificada

Monterrey, México

hace 3 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

Job Description Summary:

As Enterprise Application Engineering Intern - Finance IT Automation, you will be supporting the implementation of specific component(s) of enterprise information technology areas (Robotic Process Automation, Data Science, Artificial Intelligence, Machine learning) in order to improve outcomes related to Finance area.

You will partner with Finance stakeholder to understand requirements, build functional and technical design documents, develop, test, and implement the automation code as well as machine learning models, and enhance existing automations as required.

Working in collaboration with Finance and IT teams, your priority is to ensure that the product meets the stakeholder requirements, retains functional and technical integrity and is appropriately scalable.

Roles and Responsibilities

In this role, you will:

Collaborate with crossfunctional (design, build, test, process) teams to deliver automation and data science features and products.
Partner with Finance and IT teams to build design documents and develop the software (coding) required to enable the desired functionality.
Understand and follow the proscribed governance process and development methodology for product development.
Follow standard project/product management methodologies and practices as defined by the organization.
Develop your understanding of the RPA and Machine Learning technology stack (associated UiPath/AWS/Azure microservices) and their impact on the strategic evolution of associated final products & features, as well as new technologies (i.e. generative artificial intelligence).

Education Qualification

Undergrad student of information Technology/Computer Science/Engineering Bachelor's, from 6th semester and above.

Desired Characteristics Technical Expertise

Basic knowledge of software design (i.e. UIPath), coding principles, AWS/Azure microservices, AI/ML concepts.
Ability to learn and develop scripting for automation/ai technologies/machine learning requirements.

Business Acumen:

Demonstrates the initiative to explore alternate technology and approaches to solving problems.
Ability in breaking down problems, documenting problem statements and estimating efforts.
Demonstrated oral and written communication skills.

Leadership:

Highly organized and selfmotivated

Personal Attributes:

Engages with crossfunctional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices.
Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable.

Additional Information:

Relocation Assistance Provided:
No