AI Engineer (m / f / d) with focus on Machine Learning - Projektmanagement, IT

Motius GmbH; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A dynamic tech consultancy in Munich is looking for an experienced AI Engineer (m/f/d) to focus on Machine Learning in R&D projects. The ideal candidate should have a relevant university degree and at least 3 years of experience in agile software development. Responsibilities include building and refining machine learning solutions and working collaboratively with engineering teams in a flexible and community-driven environment. The role allows up to 50% remote work and offers a vibrant tech community.

Leistungen

Individual learning & development budget

Flexible working hours

Community-driven events

Qualifikationen

• At least 3 years of track record in agile software development.
• Strong knowledge in Reinforcement Learning and Graph Neural Networks.
• Experience with code refactoring and design patterns.

Aufgaben

• Researching and building AI/ML solutions for various industries.
• Defining the tech stack and architecture for projects.
• Acting as a technical expert in interactions with clients.

Kenntnisse

Deep Learning

Machine Learning

Python

Analytical skills

Problem solving

Ausbildung

University degree in Computer Science or Software Engineering

Tools

TensorFlow

PyTorch

GitLab

Jira

Slack

Jobbeschreibung

YourRole

• 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

YourProfile

• 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

YourBenefits

• We enable : The chance to use newest technologies in our different R&D projects, an individual learning & development budget and a definedTalent Journeyfor 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 : RegularTech Discoveryand 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