Working Student Intern andor Thesis Project in Data MLOps LLM Engineering

At Machine Learning Architects Basel (MLAB) we assist and empower people and organizations in designing building and operating reliable data and machine learning solutions. In doing so our MLOps journey and effective solution patterns enable our customers to operationalize scale and continuously deliver data and AI products beyond the pilot and prototype stages. These patterns and frameworks revolve not only around the latest technologies but also consider role skills and process adjustments. We thereby:

• Help our customers realize the full potential of data and AI solutions from use case identification over data and ML platform implementation to integration testing operation of ML models and LLMs (DataOps & MLOps).
• Design test integrate and operate data model and code pipelines and endtoend data/ML/LLM systems.
• Enable technical and nontechnical teams and individuals to leverage data science and management data ML and reliability engineering in an endtoend fashion.

Tasks

As a fulltime intern parttime working student or thesis project student at Machine Learning Architects Basel you will contribute to internal and customer projects. With your handson mentality you will support us in developing solutions that enable our customers to integrate and operate reliable data and AI solutions.

We are looking for students who have finished or are near the end of their studies. While we prefer a minimum duration of six months we are open to the following options:

• Fulltime internship (as part of or independent of your studies)
• Parttime working students
• Bachelor or Master thesis projects

Your responsibilities will be related to:

• Requirements & market analysis: You will analyze the market technologies and customers requirements to define the best solutions.
• Integration & implementation: You will implement data and machine learning solutions for internal projects and our customers.
• Consulting & knowledge sharing: You will support our consultants in advising our customers and preparing talks and workshops.

Requirements

• Basic skills in data engineering machine learning and software engineering
• Advanced knowledge of Python
• Preferably practical experience with cloud services (e.g. GCP AWS Azure)
• Fluency in both German and English
• Bachelors degree (or close to finishing it) in computer science or similar engineering qualification
• Solutionoriented mindset initiativetaking and ownership attitude selfconfident appearance and good communication skills
• Swiss passport or a valid EU/EFTA work permit.

Benefits

• A young and dynamic services company with an experienced knowledgeable and passionate team.
• An entrepreneurial environment and the chance to have a real impact on the companys development and growth.
• Work on cuttingedge data AI and analytics topics that have a real impact across industries.
• A culture that is both performanceoriented and customerdriven and at the same time teamoriented friendly and supportive incl. regular knowledgesharing sessions and team events
• A hybrid working model with flexibility as long as both client (of which some may require onsite presence) and internal commitments (i.e. one team office day per week) are met.

We prefer to work with students that live within a reasonable communitng distance to our office in Basel so that they can join our team activities and come to work with us in person at least once or twice per week. If desired you can also work from our office every day.