Machine learning engineer Jobs in Stuttgart
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Machine learning engineer • stuttgart
Freelance Machine Learning Engineer
MindriftStuttgart, BW, DE- Gesponsert
- Neu!
Digital Workplace Engineer - Endpoint & Communication (m/w/d)
Lapp Service GmbHStuttgart Fasanenhof, GermanyKaufmännischer Sachbearbeiter (m/w/d) E-Learning in Teilzeit bei regisafe GmbH
PDV.groupWaiblingen, Baden-Württemberg, DeutschlandMasterand - Data Scientist (m/w/d)
Deutsche Automobil Treuhand GmbHOstfildern, deField Applications Engineer
TechBiz Global GmbHStuttgart, BW, DEMachine Learning Engineer / Data Scientist Google Cloud (all genders)
adesso SEStockholmer Platz 1, Stuttgart, DeutschlandWorking student Media Production & Digital Learning (d/m/w/x)
Mercedes-Benz Tech InnovationStuttgart, DEAI / ML ENGINEER | MACHINE LEARNING & GENAI IN DER PRAXIS
Whitehall ReplyStuttgartConsultant * GenAI and Machine Learning (all Levels)
UNITY AGStuttgartMaster Thesis - Reinforcement Learning for wheeled, bipedal robots
Fraunhofer-GesellschaftStuttgartProcess Engineer
EcolabStuttgart, Baden-Wurttemberg, GermanyMaster thesis + Quantum Machine Learning for Crashworthiness Optimization (f/m/d) 1
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)Stuttgart, deSystem Engineer
Andersen Germany GmbHStuttgart, Baden-Württemberg, GermanyCost Engineer
Quanta part of QCS StaffingStuttgartInternship HR - Training & Digital Learning
Bosch GroupStuttgart, BW, GermanySenior MLOps Engineer für skalierbare KI/ML-Plattformen (m/w/d)
Deutsche Telekom AGStuttgart, deMircosoft Fabric Expert (all genders)
MHP - A Porsche CompanyLudwigsburg, GermanyProject Engineer
Nespresso Deutschland GmbHChicago, de- Gesponsert
Analytics Engineer (w/m/d)
EVEX Deutschland GmbHLeinfelden-Echterdingen, Baden-Württemberg, GermanyÄhnliche Suchanfragen
Freelance Machine Learning Engineer
MindriftStuttgart, BW, DE- Homeoffice
- Quick Apply
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
- Design original computational STEM problems that simulate real scientific workflows
- Create problems that require Python programming to solve
- Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
- Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
- Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
- Document problem statements clearly and provide verified correct answers
What we look for
This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
- 5+ years of hands-on machine learning experience with proven business impact
- Portfolio of completed projects and publications showcasing real-world problem-solving
- Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
- Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
- Expert with SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Understanding of MLOps practices and model deployment workflows
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Strong written English (C1+).
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.