Data Scientist, AI Engineer – Focus on Machine Learning & GenAI

Jobtailor; München; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a senior AI/ML engineer to lead end-to-end projects from initial communications to final implementation. You will drive data-driven innovation with the CTO and an interdisciplinary team, designing RAG pipelines and integrating GenAI APIs and open-source models into production solutions.

Responsibilities include building AI agent workflows, developing ML models, and creating robust data pipelines for cloud, on-premises, and edge environments.

Qualifikationen

• Master's or PhD in Computer Science, Data Science, Physics, Mathematics, Mechanical Engineering, or a comparable STEM field.
• Residence in or near Munich, or willingness to relocate for the position.
• Relevant practical or professional experience in data science, machine learning, or software engineering.
• Ambitious graduates are welcome to apply with relevant hands-on projects, open-source contributions, Kaggle projects, or strong industry internships.
• Strong proficiency in Python.
• Experience with common data science and ML libraries in production environments.
• Practical experience with C++, cloud architectures such as AWS or Azure, Gen-AI frameworks like LangChain or Pydantic AI, or containerization with Docker or Kubernetes is a strong plus.
• Ability to explain complex technical topics clearly and communicate with non-technical colleagues and customers.
• Proactive, self-directed, and solution-oriented work style.
• Openness to new tasks and technological challenges and a passion for continuous learning.
• Very good German language skills.
• Good English skills are an advantage.

Aufgaben

• Lead projects independently and end-to-end, from initial project communication through architecture to final implementation.
• Drive data-driven innovation in close collaboration with the CTO and the interdisciplinary team.
• Design and implement RAG (Retrieval-Augmented Generation) pipelines.
• Integrate GenAI APIs and open-source models into production customer solutions.
• Design modern AI agent workflows.
• Develop, train, and deploy ML models end-to-end.
• Implement computer vision and predictive analytics solutions.
• Develop custom specialist software, visualizations, edge-compute platforms, and low-latency data collectors.
• Analyze complex acoustic data for anomaly detection and further develop audio-based AI workflows.
• Design and build robust data pipelines for cloud, on-premises, and edge applications.
• Mathematically model, simulate, and optimize technical systems.

Kenntnisse

Python

C++

Machine Learning

Data Science

Computer Vision

Predictive Analytics

RAG Pipeline Design

AI Workflows

Acoustic Data Analysis

Mathematical Modeling

Software Development

Anomaly Detection

Cloud Architecture

LangChain

Pydantic AI

Open-Source Models

Ausbildung

Master's or PhD in Computer Science, Data Science, Physics, Mathematics, Mechanical Engineering, or STEM field

Tools

Docker

Kubernetes

AWS

Azure

LangChain

Pydantic AI

Open-Source Models

Jobbeschreibung

• Lead projects independently and end-to-end, from initial project communication through architecture to final implementation


• Drive data-driven innovation in close collaboration with the CTO and the interdisciplinary team


• Design and implement RAG (Retrieval-Augmented Generation) pipelines


• Integrate GenAI APIs and open-source models into production customer solutions


• Design modern AI agent workflows


• Develop, train, and deploy ML models end-to-end


• Implement computer vision and predictive analytics solutions


• Develop custom specialist software, visualizations, edge-compute platforms, and low-latency data collectors


• Analyze complex acoustic data for anomaly detection and further develop audio-based AI workflows


• Design and build robust data pipelines for cloud, on-premises, and edge applications


• Mathematically model, simulate, and optimize technical systems

Requirements

• Completed degree (Master's or PhD) in Computer Science, Data Science, Physics, Mathematics, Mechanical Engineering, or a comparable STEM field


• Residence in or near Munich, or willingness to relocate for the position


• Relevant practical or professional experience in data science, machine learning, or software engineering


• Ambitious graduates are welcome to apply with relevant hands-on projects, open-source contributions, Kaggle projects, or strong industry internships


• Strong proficiency in Python


• Experience with common data science and ML libraries in production environments


• Practical experience with C++, cloud architectures such as AWS or Azure, Gen-AI frameworks like LangChain or Pydantic AI, or containerization with Docker or Kubernetes is a strong plus


• Ability to explain complex technical topics clearly and communicate with non-technical colleagues and customers


• Proactive, self-directed, and solution-oriented work style


• Openness to new tasks and technological challenges and a passion for continuous learning


• Very good German language skills


• Good English skills are an advantage

Core Competencies

Demonstrates expertise in designing and implementing machine learning models, data pipelines, and AI workflows, with a strong foundation in Python and relevant data science libraries. Capable of leading projects independently while effectively communicating complex technical concepts to diverse stakeholders.

Highest-signal resume keywords

• Machine Learning Model Development


• Data Pipeline Design


• Python Proficiency


• Gen-AI Frameworks Experience


• Cloud Architecture Knowledge

ATS Optimization Keywords

Hard Skills

• Machine Learning


• Data Science


• Computer Vision


• Predictive Analytics


• RAG Pipeline Design


• Acoustic Data Analysis


• Mathematical Modeling


• Software Development


• Anomaly Detection


• AI Workflow Design

Soft Skills

• Proactive Work Style


• Solution-Oriented Approach


• Clear Communication


• Openness to Learning


• Collaboration

Industry Keywords

• Data Science


• Machine Learning


• Artificial Intelligence


• STEM Field


• Technical Systems Optimization


• Cloud Applications


• Production Environments


• Visualizations


• Low-Latency Data Collection


• Interdisciplinary Collaboration

Tools & Technologies

• Python


• C++


• AWS


• Azure


• Docker


• Kubernetes


• LangChain


• Pydantic AI


• Open-Source Models


• Edge-Compute Platforms