ML Engineering Internship

ML Engineering Internship

Location:

Lausanne | Type:
Internship |

Start date:

July 2026 | Apply now

Design and implement data pipelines and machine learning components for Logmind’s AIOps platform, working with textual and time-series data to develop and evaluate solutions for detecting and diagnosing issues in IT systems.

Are you working towards a degree in computer science, data science, or a closely related field at EPFL or ETH? Are you 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 our platform, which helps IT teams to automatically detect, diagnose, and resolve complex issues.

• 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.

• 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, stats models, etc.
• Good knowledge of LLMs inner working and best practices.
• Love for typed, clean and structured code.

• Experience with data validation libraries or ORMs/ODMs such as Pydantic, Django ORM, SQL Alchemy, 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.

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 (Use the "Apply for this Job" box below). IT noise. Faster insights. Smarter actions.#J-18808-Ljbffr