AI Developer Intern (Geospatial Foundation Models)
IBM
•
BR Rio de Janeiro
Company
IBM
Location
BR Rio de Janeiro
Type
Full Time
Job Description
Introduction
As a Data Scientist at IBM you will help transform our clients’ data into tangible business value by analyzing information communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
As a Data Scientist at IBM you will help transform our clients’ data into tangible business value by analyzing information communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
Position: AI Developer Intern (Geospatial Foundation Models)
Role: At IBM Research we are committed to leveraging the power of Artificial Intelligence (AI) to address the challenges of climate change and sustainability. Our mission is to develop innovative solutions that contribute to a more resilient and sustainable future. We are currently seeking a talented and motivated individual to join our AI for Climate and Sustainability team to work on cutting-edge research and development of geospatial foundation models and their downstream tasks. You will collaborate closely with a multidisciplinary team of researchers engineers and data scientists to develop test and enhance the capabilities of our geospatial foundation models.
Responsibilities:
* Development: Design implement and maintain software components for geospatial foundation models. Ensure that the developed features are robust scalable and efficient.
* Integration: Collaborate with software engineers to seamlessly integrate new features into geospatial foundation model components. Follow software engineering best practices to ensure high-quality code and system stability.
* Collaboration: Work closely with researchers scientists and domain experts to understand their needs and provide technical support. Assist in designing experiments and simulations that align with their research goals.
* Documentation: Create technical documentation including design specifications user guides and API documentation to facilitate the integration and usage of new components.
* Innovation: Contribute to the identification of research directions methodologies and potential applications for geospatial foundation models
“Todas as vagas sĂŁo elegĂveis para pessoas com deficiĂŞncia e reabilitados”
Required Technical and Professional Expertise
* Background in artificial intelligence machine learning and deep learning.
* Proficiency in Python and experience with relevant libraries and frameworks.
* Excellent problem-solving skills and ability to work independently or as part of a team.
* Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
Preferred Technical and Professional Expertise
* Familiarity with software engineering practices version control and agile development methodologies.
* Experience with relevant libraries and frameworks such PyTorch and Tensorflow
* Experience with cloud platforms and deployment is a plus.
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Company Info
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Date Posted
06/11/2024
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Subjectivity Score: 0.9
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