AI role · Open offer

ML Engineer — manufacturing AI

Siemens

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills1 tool

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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

About this role

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

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

Core capabilities—LLMs, automation, analytics, product, or domain expertise.

PythonComputer VisionSQL

Tools & stack

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

Docker

You're a strong fit if…

You've shipped real work with AI—not only experimented in isolation.
Several listed skills or tools show up in your recent projects.
You can explain trade-offs (quality, cost, latency, safety) in plain language.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Quality inspection or digital twin ML in factories.

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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Top skills

PythonSQL

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