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ML Engineer — manufacturing AI

Siemens

Full-time
Senior
Industrial AI
Hybrid
Werner-von-Siemens-Straße 1, 80333 Munich, Germany · Hybrid
EUR 84k–112k/year

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Werner-von-Siemens-Straße 1, 80333 Munich, Germany · Hybrid
Compensation: EUR 84k–112k/year
Experience level: Senior
Team: Industrial AI
Benefits & perks: Global engineering, pension, hybrid.
How to apply: Quality inspection or digital twin ML in factories.
Company site: www.siemens.com
Listed: Jul 29, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Siemens is hiring a Senior ML Engineer — manufacturing AI on the Industrial AI team (Hybrid · Munich, Germany). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Siemens digitizes factories and infrastructure with AI for quality, energy, and automation.

Build computer vision and analytics ML for manufacturing customers worldwide.

What you will do

Ship production manufacturing and vision AI with offline evals, monitoring, and safe rollout.
Work with product and domain experts on requirements and trade-offs.
Improve data pipelines, labeling, and metrics tied to business KPIs.
Document runbooks for on-call and customer-facing teams.

What we look for

Strong Python and modern ML/LLM stack with shipped features.
SQL, experimentation, and clear communication to stakeholders.
Eligible to work in the listed country; professional English required.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Quality inspection or digital twin ML in factories.
Several of these show up in recent shipped work—not only on your CV: Python, SQL, Computer Vision, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Munich, Germany)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 84k–112k/year, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Quality inspection or digital twin ML in factories.

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Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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ML Engineer — manufacturing AI

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