Are working towards a degree in computer science, data science, or a closely related field at EPFL or ETH?

Are you are a self-motivated and collaborative person?

Would you like to apply your skills in software engineering, machine learning and data science to real-world industry challenges?

Then this is the right place for you!

At Logmind you will be working on advancing the development of the most bleeding-edge features of out platform, which helps IT teams in modern organizations to automatically detect, diagnose, and resolve complex issues in their IT systems and infrastructure.

Your responsibilities will be:

• Designing, prototyping, building, and optimizing data pipelines backing our AIOps platform.
• Developing and refining AI solutions applied to textual and time-series data.
• Designing and implementing evaluation protocols for evaluating the proposed solutions.
• Closely collaborating with the data science and software engineering teams to integrate the proposed solutions into our existing platform.

Requirements:

• Solid knowledge of Python.
• Strong knowledge of statistical modelling techniques for text mining, pattern discovery, regression, classification, clustering and anomaly detection.
• Experience with common libraries for data science, e.g. numpy, pandas, pytorch, statsmodels, etc.
• Good knowledge of LLMs inner working and best practices.
• Love for typed, clean and structured code.

Nice to have:

• Experience with data validation libraries or ORMs/ODMs such as Pydantic, Django ORM, SQLAlchemy, or mongoengine.
• Experience with LLM tools, e.g. vendor's APIs, langchain, langgraph, etc.
• Hands-on experience building data and machine learning pipelines in an industry setting.

Internship details:

We offer a 6-month internship starting in July 2026. During this time, you will work on impactful projects and develop practical skills that will prepare you for a career in software engineering, ML engineering and data science.

We look forward to receiving your resume at jobs[at]logmind.com!