E learning manager Jobs in München
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E learning manager • munchen
Senior / Lead Machine Learning Engineer
SofteqGrasbrunn, Bayern, .DE- Gesponsert
Learning Development Coordinator mwd
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Machine Learning Compiler Engineering Manager, GPU - Inklusiver Job 🦼 🦻 🦯
GoogleMünchen, Bayern, DE- Gesponsert
Senior Machine Learning Engineer
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ARRKMunich- Gesponsert
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SIXTMunich, Bavaria, Germany(Senior) Machine Learning Platform Engineer
Snke OSMunich, Bavaria, GermanyGlobal Learning Manager / Program Manager (m / w / d)
Rohde & SchwarzMunich, GermanyLearning Administrator (m / f / w)
MemodoMunich, Bavaria, GermanyGlobal Learning and Development Manager (m / f / d)
EOS GmbHKraillingSenior Machine Learning Engineer
SlalomMunich- Gesponsert
Junior Machine Learning Consultant (m / w / d)
Reply Deutschland SEMünchen, DE- Gesponsert
Masterarbeit Computer Vision / Deep Learning (w / m / d)
MVTec Software GmbHMünchen, Bayern, Germany- Gesponsert
HR Manager Learning Development all genders
Roland BergerMunich, Bavaria, GermanyProject Manager - Global Learning & Development (m / f / d) •
Munich ReMunich, GermanySenior / Lead Machine Learning Engineer
SofteqGrasbrunn, Bayern, .DESofteq started in 1997, and now we have offices in Houston, Vilnius, Munich, and Mexico. As a full-stack company, we help clients create turnkey smart gadgets and standalone components of IoT systems. We have our own Startup Venture Fund and collaborate with MIT. Come join us!
Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together!
Location : Europe, 100% remote work ( B2B contract directly with Softeq)
We are looking for an experienced Software Engineer with the expertise in Machine Learning to spearhead the development of cutting-edge ML / DL models tailored for ultra low-power devices. You will play a key role in the end-to-end pipeline—from sensor data acquisition and signal processing to model optimization and deployment on microcontrollers.
Key Responsibilities
- ML / DL Model Development
- Design, implement, and optimize ML / DL models for ultra low-power devices, focusing on efficient use of limited resources.
- Collaborate with firmware developers to integrate models into embedded systems. Signal Processing & Feature Extraction
- Process and analyze sensor data (e.g., accelerometers, GPS) to extract meaningful features and insights.
- Leverage advanced signal processing techniques and algorithms to improve data quality and model accuracy. Data Collection & Management
- Curate and manage datasets, ensuring data quality and relevance for training and testing.
- Oversee data collection processes, coordinate sensor setups, and validate incoming data for consistency and accuracy. Model Optimization
- Implement and maintain model compression, quantization, and pruning techniques for microcontrollers.
- Conduct performance analysis and benchmark models across different hardware platforms.
Collaboration & Leadership
Qualifications Education & Experience
Technical Skills
Nice to Have