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 August 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!
