Intern for Generative Ai Development

1 week ago

Geylang, Singapore Siemens Full time

Are you interested in gaining hands-on experience about modern AI tools? Eager to learn and work in an agile team? If so, this opportunity is for you

We are seeking a motivated and skilled intern to join our team to build a data augmentation pipeline for generative AI. The intern will be responsible for developing an end-to-end solution that ingests PDF documents, extracts, and preprocesses the data, and integrates it into the generative language model to improve the accuracy of the generated responses.

This internship opportunity will provide a good learning opportunity in a leading MNC with an exciting field of technology that makes society, industries and infrastructures smarter, better, more efficient and more sustainable.

**Key Responsibilities**:

- Develop a PDF ingestion pipeline that extracts text and images from PDF documents.
- Preprocess and clean the data to ensure compatibility with the generative language model.
- Integrate the data into the generative language model to improve its accuracy.
- Develop a web page for the augmented generative model using Azure services.
- Test and validate the performance of the model using external datasets.

**Requirements**:

- Students pursuing studies towards a Bachelor/ Masters Degree in Computer Science/IT/Engineering or equivalent
- Strong interest in computer science, natural language processing, and machine learning.
- Keen to learn more about Python programming and popular libraries such as TensorFlow, PyTorch, and spaCy.
- Interest in Azure services such as Azure Functions, Azure Storage, and Azure Web Apps.
- Knowledge of data ingestion and preprocessing techniques for unstructured data.
- Excellent problem-solving and communication skills.
- Ability to work independently and collaboratively in a team environment.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

**Organization**: Smart Infrastructure

**Company**: Siemens Pte Ltd

**Experience Level**: Student (Not Yet Graduated)

**Full / Part time**: Full-time

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