Olmatic GmbH
AI & ML Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Stuttgart, München
New Job?Nejo!
The AI Job Search Engine
FEFELD M
Machine Learning Engineer / Data Scientist(m/w/x)
München, Berlin, Hamburg
Full-time, Part-timeRemoteExperienced
AI/ML
Data Science
Nejo AI Summary
Building and deploying end-to-end ML solutions for diverse clients, including consulting on AI strategy. ML/Data Science experience with LLMs and Agentic Architecture familiarity required. Remote-first work, shared leadership model.
Requirements
- Background in Data Science, Computer Science, Statistics or similar
- Experience in machine learning and data science, familiarity with LLMs and Agentic Architecture
- Experience with Python, SQL and Linux/Shell
- Curiosity for modern data tools (e.g., Databricks, Airflow, Kafka, Spark, TensorFlow, AWS/Azure/GCP)
- Analytical thinking and hands-on engineering mindset
- Open, collaborative personality, strong communication skills
- Great German skills, ability to come to Munich office (plus)
Tasks
- Consult customers on AI best practices and strategies
- Bring machine learning solutions into production
- Build and improve data pipelines
- Build and improve data models
- Build and improve machine learning solutions
- Develop scalable cloud-based data architectures
- Support development and productionization of ML models
- Work with modern Python and cloud data tools
- Perform testing and debugging for code quality
- Apply best engineering practices
- Collaborate in agile, cross-functional teams
Work Experience
- 2 - 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
Tools & Technologies
- LLMs
- Agentic Architecture
- Python
- SQL
- Linux
- Shell
- Databricks
- Airflow
- Kafka
- Spark
- TensorFlow
- AWS
- Azure
- GCP
Benefits
Flexible Working
- Flexible work
- Remote-first work
Startup Environment
- Shared leadership
Purpose-Driven Work
- Responsibility from day one
Informal Culture
- No rigid hierarchies
- Great team culture
- International team
- Inclusive culture
- Collaborative culture
Mentorship & Coaching
- Personal growth
- Coaching
Learning & Development
- Learning opportunities
Diverse Work
- Exposure to diverse projects
Modern Equipment
- Top equipment
- Choice of setup
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FELD M and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- SBK (Siemens-Betriebskrankenkasse)
Data Scientist / KI-Engineer(m/w/x)
Full-timeWith HomeofficeNot specifiedMünchen - TRUSTEQ GmbH
(Senior) AI Consulant(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen - Zühlke Engineering AG
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - KI group GmbH
Engineering Manager – Data & AI(m/w/x)
Full-timeWith HomeofficeSeniorKöln, München
FEFELD M
Machine Learning Engineer / Data Scientist(m/w/x)
München, Berlin, Hamburg
Full-time, Part-timeRemoteExperienced
AI/ML
Data Science
Nejo AI Summary
Building and deploying end-to-end ML solutions for diverse clients, including consulting on AI strategy. ML/Data Science experience with LLMs and Agentic Architecture familiarity required. Remote-first work, shared leadership model.
Requirements
- Background in Data Science, Computer Science, Statistics or similar
- Experience in machine learning and data science, familiarity with LLMs and Agentic Architecture
- Experience with Python, SQL and Linux/Shell
- Curiosity for modern data tools (e.g., Databricks, Airflow, Kafka, Spark, TensorFlow, AWS/Azure/GCP)
- Analytical thinking and hands-on engineering mindset
- Open, collaborative personality, strong communication skills
- Great German skills, ability to come to Munich office (plus)
Tasks
- Consult customers on AI best practices and strategies
- Bring machine learning solutions into production
- Build and improve data pipelines
- Build and improve data models
- Build and improve machine learning solutions
- Develop scalable cloud-based data architectures
- Support development and productionization of ML models
- Work with modern Python and cloud data tools
- Perform testing and debugging for code quality
- Apply best engineering practices
- Collaborate in agile, cross-functional teams
Work Experience
- 2 - 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
Tools & Technologies
- LLMs
- Agentic Architecture
- Python
- SQL
- Linux
- Shell
- Databricks
- Airflow
- Kafka
- Spark
- TensorFlow
- AWS
- Azure
- GCP
Benefits
Flexible Working
- Flexible work
- Remote-first work
Startup Environment
- Shared leadership
Purpose-Driven Work
- Responsibility from day one
Informal Culture
- No rigid hierarchies
- Great team culture
- International team
- Inclusive culture
- Collaborative culture
Mentorship & Coaching
- Personal growth
- Coaching
Learning & Development
- Learning opportunities
Diverse Work
- Exposure to diverse projects
Modern Equipment
- Top equipment
- Choice of setup
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FELD M and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
FELD M
Industry
IT
Description
FELD M arbeitet an der Schnittstelle von Daten, Künstlicher Intelligenz, Wissenstransfer und Enablement, um komplexe KI- und Datenthemen verständlich aufzubereiten.
Not a perfect match?
- Olmatic GmbH
AI & ML Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedStuttgart, München - SBK (Siemens-Betriebskrankenkasse)
Data Scientist / KI-Engineer(m/w/x)
Full-timeWith HomeofficeNot specifiedMünchen - TRUSTEQ GmbH
(Senior) AI Consulant(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen - Zühlke Engineering AG
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - KI group GmbH
Engineering Manager – Data & AI(m/w/x)
Full-timeWith HomeofficeSeniorKöln, München