12 beste Stellen als test automation python in münchen – aktuell auf Personalsuche

Civil Engineering Expert - AI & Data
Conxai Technologies GmbH —München
- Vollzeit
- Doktorat
- Master
- SQL
Direkt bewerben
Head of Design Services & Compliance Verification Engineer (d/f/m)
Aerostack GmbH —München
- Vollzeit
- CAD
- Datenanalyse
- Master
- Flexible Arbeitszeiten
Software Engineer (Fullstack) - AI Medical Software in Cloud (w/m/d)
deepeye Medical GmbH —München
- Hybrides Arbeiten
- Informatik
- Softwareentwicklung
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
Senior EmbeddedSoftware Engineer
TechBiz Global GmbH —München
- Vollzeit
- Master
- C++
- Bachelor
Direkt bewerben
Lab Technician (f/m/d)
Renesas Electronics —Germering
- Vollzeit
- Schemata
- Montage
- Scripting
Direkt bewerben
Senior Analytics Engineer (m/f/d)
Xempus Deutschland GmbH —München
- Vollzeit
- Hybrides Arbeiten
- SQL
- Python
- Analytik
Direkt bewerben
(Senior) Quantum Software Engineer - Control System
planqc —Garching bei München
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
Technical Sales Engineer (m/f/d)
Digi International GmbH —Ismaning
- Homeoffice
- Vertrieb
- Bachelor
- Mit Reiseanteil
Direkt bewerben
Engineering Manager, Product Engineering
Secfix —München
- Vollzeit
- Homeoffice
- Azure
- Systemdesign
- Java
(Senior) Prototyping Engineer (m/f/d)
Quantum- Systems GmbH —Gilching
- Vollzeit
- CAD
- C++
- Bachelor
- Flexible Arbeitszeiten
Direkt bewerben
Expert Manager, Software Engineering
Bain & Co. —München
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
(Senior) Kotlin / Java Software Engineer - Banking Platform (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Java
- AWS
- Softwareentwicklung
Direkt bewerben

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Civil Engineering Expert - AI & Data

Conxai Technologies GmbH
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Master
SQL
SaaS
Künstliche Intelligenz
Tiefbau
Python

Vollständige Stellenbeschreibung

About CONXAI

CONXAI has built a no-code, agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.

Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.

CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.

Your Role

Encode the DNA of Construction into our AI

We are looking for a rare hybrid: a Civil Engineering expert who speaks the language of Data Science. You will define how AI understands construction concepts, logic, workflows and site dynamics. You will sit at the intersection of Product, AI Engineering and the Jobsites, ensuring our AI models deliver high-fidelity value to automate complex processes.

Domain Modeling: Translate AEC workflow and methodologies (Lean, TVD, IPD) into logical architecture and ontology for agentic AI
Framework Implementation: Build out the platform’s Domain Knowledge Base, to ensure that the AI understands BIM-to-Field relationships and productivity metrics
Data Strategy: Work alongside our ML team to define and structure high-quality AEC dataset (visual, sensor, and textual) to train agentic models
Product-Ownership: Represent the “voice of customer”. Prioritize the product backlog based on first-principles understanding of construction pain points
Validation: Test AI outputs against industry standards to ensure it delivers practical value in real-world construction scenarios

Who You Are

Top-Tier Pedigree: MS or PhD in Civil Engineering, Construction Management or a related field from a Tier-1 institution
Experience: Proven track record within the construction industry or the ConTech software / SaaS sector
Data Science Literacy: Strong background in data science (Python, SQL, statistical modeling) and understanding of how ML models are trained and validated
Domain Context Engineering: Ability to structure domain knowledge into ontologies for AI training
Modern Delivery Frameworks: Strong practical knowledge of Lean Construction, Target Value Delivery (TVD) and Integrated Project Delivery (IPD)
Communication: Ability to fluently translate complex engineering and construction workflows to ML and product engineers

Why CONXAI

Edge of Innovation: Be at the absolute forefront of AI in the construction tech space
High Autonomy: Own the domain strategy and shape a product that directly impacts how global infrastructure is built
Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners
Equity & Scale: Competitive compensation with significant equity upside

Direkt bewerben

Erweiterte Suche

test automation python Jobs in münchen

Civil Engineering Expert - AI & Data

Head of Design Services & Compliance Verification Engineer (d/f/m)

Software Engineer (Fullstack) - AI Medical Software in Cloud (w/m/d)

Senior EmbeddedSoftware Engineer

Lab Technician (f/m/d)

Senior Analytics Engineer (m/f/d)

(Senior) Quantum Software Engineer - Control System

Technical Sales Engineer (m/f/d)

Engineering Manager, Product Engineering

(Senior) Prototyping Engineer (m/f/d)

Expert Manager, Software Engineering

(Senior) Kotlin / Java Software Engineer - Banking Platform (m/f/x)

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