From academia to senior ML engineer: navigating the era of agentic AI
Details
Is it possible to turn a PhD in Environmental Science into a career at the forefront of Machine Learning? The answer is a resounding yes.
The path into Data Science and ML isn't a straight line—it’s a journey of adaptation, community, and continuous learning. Whether you are coming from academia or a "non-tech" background, the current shift toward Agentic AI is creating a unique space for professionals who can bridge the gap between deep domain expertise and high-level engineering.
Join us for a conversation with Dr. Maren Westermann, Senior Machine Learning Engineer at DB Systel GmbH, followed by an open Q&A where you get direct access to a seasoned expert.
What you'll learn:
- How to turn academic or "non-tech" subject expertise (like agriculture or healthcare) into a profession in data and machine learning.
- Considering the increasing prevalence of AI agents, what skills are truly needed in the workplace?
- The benefits of contributing to libraries like Narwhals from a professional standpoint.
- How professional advancement is accelerated by volunteering and local tech groups (PyLadies/PyData).
- Going from "writing code" to cloud infrastructure and managing stakeholders.
This session is perfect for career changers, aspiring engineers, and anyone curious about the reality of working in ML today.
Event Details:
- Date: Friday, May 8th
- Time: 10:00 - 11:00 am
Save the date!
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