Motius GmbH
80331 München - Deutschland
Ingenieur/in - Elektrotechnik
Arbeit
Teilzeit Vormittag
ab 01.02.2026
Beschreibung
## Your Role
- AI Engineer (m/f/d) with focus on Machine Learning in our R&D projects with engineering teams of 2-5 people
- Researching and building real AI and Machine Learning solutions for a wide range of industries and for different use cases - from a first PoC and MVP to fully operating applications
- Defining the right tech stack and setting up the architecture for the projects by following a two-weekly Scrum process using GitLab, Jira, Slack, Continuous Integration & Delivery, etc.
- Yo... weiter lesen
- AI Engineer (m/f/d) with focus on Machine Learning in our R&D projects with engineering teams of 2-5 people
- Researching and building real AI and Machine Learning solutions for a wide range of industries and for different use cases - from a first PoC and MVP to fully operating applications
- Defining the right tech stack and setting up the architecture for the projects by following a two-weekly Scrum process using GitLab, Jira, Slack, Continuous Integration & Delivery, etc.
- Yo... weiter lesen
## Your Role
- AI Engineer (m/f/d) with focus on Machine Learning in our R&D projects with engineering teams of 2-5 people
- Researching and building real AI and Machine Learning solutions for a wide range of industries and for different use cases - from a first PoC and MVP to fully operating applications
- Defining the right tech stack and setting up the architecture for the projects by following a two-weekly Scrum process using GitLab, Jira, Slack, Continuous Integration & Delivery, etc.
- You take an active, client facing role as a technical expert
- Constantly improving our Enterprise AI Business Unit and building up knowledge by introducing new tools, best practices or frameworks and sharing learnings from our projects
## Your Profile
- University degree in Computer Science, Software Engineering with focus on AI or in similar disciplines and at least 3 years of track record in agile software development
- Strong knowledge of state-of-the-art Deep Learning & Machine Learning approaches & models specifically in Reinforcement Learning, Graph Neural Networks, and Transformers as well as strong experience in Python and with various libraries/frameworks (e.g. numpy, scipy, pandas, sklearn, Tensorflow, PyTorch etc.)
- Strong knowledge of algorithms and tools landscape in the area of knowledge bases and graphs as well as of retrieval augmented generation (RAG) related technologies
- Experience in engineering and architectural practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications/digital products
- Strong analytical and problem solving skills paired with the ability to develop creative and efficient solutions
- Comfortable with ambiguity and rapid changes common in early-stage product development, interest in learning new tech stacks and strong command of English language (both verbal and written), German is a plus
## Your Benefits
- We enable: The chance to use newest technologies in our different R&D projects, an individual learning & development budget and a defined Talent Journey for your further growth
- We create: Huge impact on future products and insights from a broad range of industries, in an environment with flexible working hours and up to 50% remote work
- We explore: Regular Tech Discovery and Discovery Conference to stay close to new tech
- We are community-driven: Vibrant and interdisciplinary tech community as well as regular team buildings and company events
- AI Engineer (m/f/d) with focus on Machine Learning in our R&D projects with engineering teams of 2-5 people
- Researching and building real AI and Machine Learning solutions for a wide range of industries and for different use cases - from a first PoC and MVP to fully operating applications
- Defining the right tech stack and setting up the architecture for the projects by following a two-weekly Scrum process using GitLab, Jira, Slack, Continuous Integration & Delivery, etc.
- You take an active, client facing role as a technical expert
- Constantly improving our Enterprise AI Business Unit and building up knowledge by introducing new tools, best practices or frameworks and sharing learnings from our projects
## Your Profile
- University degree in Computer Science, Software Engineering with focus on AI or in similar disciplines and at least 3 years of track record in agile software development
- Strong knowledge of state-of-the-art Deep Learning & Machine Learning approaches & models specifically in Reinforcement Learning, Graph Neural Networks, and Transformers as well as strong experience in Python and with various libraries/frameworks (e.g. numpy, scipy, pandas, sklearn, Tensorflow, PyTorch etc.)
- Strong knowledge of algorithms and tools landscape in the area of knowledge bases and graphs as well as of retrieval augmented generation (RAG) related technologies
- Experience in engineering and architectural practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications/digital products
- Strong analytical and problem solving skills paired with the ability to develop creative and efficient solutions
- Comfortable with ambiguity and rapid changes common in early-stage product development, interest in learning new tech stacks and strong command of English language (both verbal and written), German is a plus
## Your Benefits
- We enable: The chance to use newest technologies in our different R&D projects, an individual learning & development budget and a defined Talent Journey for your further growth
- We create: Huge impact on future products and insights from a broad range of industries, in an environment with flexible working hours and up to 50% remote work
- We explore: Regular Tech Discovery and Discovery Conference to stay close to new tech
- We are community-driven: Vibrant and interdisciplinary tech community as well as regular team buildings and company events
Ref-Nr.: 7787952
Aktualisiert:
03.02.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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