Working Student – Data Science and ML Engineering

Working Student - Data Science and ML Engineering

Job Description:

Join our team as a Working Student in Data Science and ML Engineering, where you will immerse yourself in the development and enhancement of machine learning projects and models. You will have the opportunity to learn about the intricacies of machine learning, contributing to the creation of ML models and services that support various applications focused on employee engagement. This role will enable you to analyze and prepare datasets that are crucial for driving ML services. You will gain insights into the operations of a successful global business while working in an agile environment that emphasizes teamwork and adaptability. This position is perfect for those eager to explore the intersection of data science and machine learning within a collaborative setting.

IT Languages:

• Python
• Java
• SQL

As a working student, you will play a key role in various aspects of data science and machine learning engineering.:

Learn and understand the development process of machine learning projects;; Develop and enhance machine learning models and services for the Digital Enterprise;; Plan, prepare, and analyze datasets for ML services related to employee engagement applications;; Collaborate with cross-functional teams to define, design, and deliver AI-driven digital services;; Adapt to a dynamic environment and contribute to team discussions and brainstorming sessions

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Data Analysis
• Prompt Engineering
• Large Language Models

Soft Skills:

• Curiosity
• Enthusiasm
• Proactive attitude
• Team player
• Ability to take initiative

Qualifications:

• Currently enrolled as a student at a university or university of applied sciences
• Strong interest in machine learning projects and data science

Years of Experience:

1

Location:

Germany

Job Benefits:

• Flexible working hours
• Collaborative team environment
• Opportunities for learning and development
• Recognition for individual contributions
• Paid position

Working Conditions:

Part Time

Employment Type:

Internship

Company Culture:

• We foster a culture of inclusion and collaboration, where every employee is valued for their unique contributions. Our commitment to flexibility and personal development enables a supportive environment where individuals can thrive and pursue their career goals.

Opportunities For Advancement:

• Potential for future employment, Skill development opportunities, Networking within the industry

Visa Sponsorship:

Available