ML Engineering Intern

If you are working towards a degree in information technology, data science or a closely related field at EPFL or ETH , if you are a self-motivated and collaborative person with hands-on experience in machine learning or data science, this is the right place for you!

Logmind can offer you a variety of interesting technical challenges in the field of data science and machine learning. You will be working on solving problems that will help IT teams in modern organizations to automatically detect, diagnose, and resolve complex issues in their 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.
• Collaborating closely with the data science and software engineering teams to integrate the proposed solutions into our existing platform.

Required skills:

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

Nice to have:

• Experience with data validation libraries or ORMs/ODMs such as Pydantic, Django ORM, SQLAlchemy, or mongoengine.
• Hands-on experience building data and machine learning pipelines in an industry setting.
• Experience in building LLM-based solutions.

Internship details:

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

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