Student Master@IBM: Development for AI based LLM

17 Jan 2024
Job Information

Organisation/Company

IBM

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

15 Feb 2024 - 00:00 (UTC)

Type of Contract

To be defined

Job Status

Full-time

Hours Per Week

To be defined

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.

Your Role and Responsibilities

What awaits you?
Welcome to the team. So that you can hit the ground running, a structured onboarding process and a personal contact person will accompany you throughout the entire orientation phase. During your Master's studies, you will work on exciting national/international projects. If possible, you will write your Master's thesis in cooperation with your department. At IBM, you will be a full member of one of our teams and will be able to establish valuable contacts in one of the largest global IT companies at an early stage.

These are your tasks
We are looking for motivated students to investigate and prototype the application of AI techniques, specifically, but not constrained to, large language models to improve the quality of identifying business term assignments for given database meta data ( definitions of tables and columns ) and sample data in IBM Knowledge Catalog Data Quality. Business terms are additional meta data, assigned to the actual table and column definitions to help business users to understand the data.

The investigation includes the disambiguation of conflicting terms suggested from existing ( classical ) algorithms, the usage of the context of a data set to provide better term suggestions, the identification of incorrect term assignments, and the usage of sample values from the specific columns to identify the semantic domain.
If you are interested to work in this project with state-of-the-art development frameworks, applying industry-leading design thinking practices in an agile software development environment, do not hesitate and apply today!

A student joining our team will

• work in a multi-cultural team, collaborating with engineers in Germany and other locations across the world
• gain deep knowledge in the development life-cycle of a large project, ranging from prototyping over code development and testing to integration into existing products and frameworks
• benefit from the work with supervisors having a lot of experience in software development
• learn a lot on state of the art artificial intelligence techniques based on large language models

The scope of duties allows you to devote sufficient time to your studies.

What we offer:

• Financial independence right from the start - through attractive remuneration. You have the choice between 15 or 20 hours per week.
  Monthly salary with 20 hours per week:
  • 1st year: 1,326 € gross per month
  • 2nd year: 1,731 € gross per month
  • 3rd year: 1,916 € gross monthly
    Monthly salary with 15 hours per week:
  • 1st year: 995 € gross monthly
  • 2nd year: 1.298 € gross monthly
  • 3rd year: 1.437 € gross monthly
• Payment of semester fees as well as reimbursement of travel expenses to the university according to our guidelines
• Expense allowance for master's thesis lump sum 2,500 €
• IBM internal training offers as well as the possibility of badges/certifications
• Personal support from the specialist department
• Support with career planning as well as coaching and mentoring offers

Sounds exciting? Perfect! Then become part of the IBM team and apply now.

Application instructions:
Please submit the following documents - summarized in one pdf document - when applying online:

• Cover letter that clearly states your motivation for IBM and a part-time Master's degree program, as well as your qualifications fot the job.
• Meaningful curriculum vitae, which also includes information on extracurricular qualifications, activities or social commitment.
• Bachelor's or diploma certificate and, if applicable, work and internship references.
• If you do not yet have a transcript of grades, please send us your most recent transcript of grades. We require a grade point average of 2.5 or better. Applicants with a degree from a foreign university are required to submit an individual transcript of records from the Central Office for Foreign Education (ZAB).
• Applicants from non-EU countries must have a valid work permit and residence permit.

Required Technical and Professional Expertise
.• Software Engineering - Backend Development Focus
o Solid, hands-on Experience in Python
o Hands-on Experience with Version Control Systems, preferably Git
o Hands-on Experience with Unit Testing
• Practical Experience with Linux
• Basic Knowledge about Cloud and Containerization Technologies
o Docker / Podman
o OpenShift / Kubernetes
• Language Skills
o English: Fluent
o German: Basic

Preferred Technical and Professional Expertise
• Practical Infrastructure Cloud Experience
o Preferably in AWS or IBM Cloud
o Infrastructure Automation Tools, such as Cloud Formation Templates, Terraform, Ansible
• Experience with Java Development
• Experience with API specification languages, such as OpenAPI, Swagger
• Familiarity with node.js
• Familiarity with the features of TypeScript and ECMAScript 6 or higher
• Knowledge about Software Design Patterns
• Practical Experience with CI/CD Environments

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

IBM

Country

Germany

Geofield

Where to apply

Website

https://illbeback.ai/job/student-masteribm-development-for-ai-based-llm/?utm_so…

STATUS: EXPIRED