30.08.2025 aktualisiert
100 % verfügbar
Machine Learning Engineer
Berlin, Deutschland
Nur Remote
M.Sc. PhysicsSkills
ForschungKünstliche IntelligenzAmazon Web ServicesKünstliche Neurale NetzwerkeAudiosignalverarbeitungMicrosoft AzureMedizinische BildgebungC++Computational BiologyComputerprogrammierungDrug DiscoveryIngenieurwesenGenomicsPythonLatex
Programming & Technical Skills
- Languages: Python, C/C++, SQL, LaTeX
- Machine Learning & AI: Geometric Deep Learning, Graph Neural Networks, Transformers, Large Language Models (LLMs), Diffusion Models, Generative AI, Gaussian Processes, Bayesian Modeling
- Frameworks & Libraries: PyTorch, TensorFlow, Keras, Scikit-learn, Kubeflow, MLFlow, Librosa
- Engineering & MLOps: Git, Docker, Kubernetes, KubeFlow, AWS, GCP, Azure, scalable ML pipelines
- Computational Biology & Drug Discovery:
- Structure-informed protein–protein interaction (PPI) prediction
- De novo protein and antibody generation
- Biomarker discovery and prediction of drug response
- Analysis of high-throughput biological datasets (metabolomics, genomics, transcriptomics)
- Healthcare & Bioinformatics Applications:
- Diagnosis and classification using ML in medical imaging and clinical datasets
- Genetic marker identification and comparative gene expression analysis
- Audio & Signal Processing:
- Deep Learning for speech recognition, speaker identification, symptom monitoring
- Feature engineering (MFCCs, spectrograms, mel-spectrograms)
- Published in peer-reviewed journals (physics, bioinformatics, computational biology)
- Strong cross-functional collaboration with biologists, chemists, and data scientists
- Experience leading end-to-end ML projects from research to deployment
- Effective communicator in multidisciplinary teams
- Project management and mentoring junior scientists/engineers
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2025
Sprachen
DeutschgutEnglischverhandlungssicherItalienischMutterspracheSpanischverhandlungssicher