Schreibe ein Bewerbungsanschreiben in deutsch für die Stellenanzeige die nach dem folgenden Stichwrt folgt: "Stelle01". Meine Qualifikationen sind genannt unter Stichwort: "Qualif01".

"Qualif01": "Programmiersprachen / Frameworks
Python, PHP, C/C++, NAME_1, Tensorflow, Keras
Zertifikate
Deep Learning Spezialisierung, DeepLearning, Coursera, (2023)
Bestehend aus fünf Kursen mit eigenem Zertikat:
Neural Networks and Deep Learning, (2023)
Improving Deep Neural Networks: Hyperparameter Tuning,
Regularization and Optimization, (2023)
Structuring Machine Learning Projects, (2023)
Convolutional Neural Networks, (2023)
Sequence Models, (2023)
iSAQB® - Certified Professional for Software Architecture, (2021)
ISTQB® - Certified Tester - Foundation Level - Grundlagen des Software-Testens, (2011)
Scrum.org: Professional Scrum Master I, (2018)
Scrum.org: Professional Product Owner I, (2018)
Erfahrungen:
Entwicklung von Programmen zur Analyse und Auswertung von großen Datenmengen (Messergebnisse).
Erstellung von Simulationen/Berechnungen mittels Computer Algebra Programmen.
Business Analyst, Systemanalytiker"


"Stelle01": "Data Professional (f/m/d) - Analytics & AI - Expert Services
Firmaxy GmbH, Full time 

Your impact:
You team-up with our scientists, business and infrastructure experts to design data solutions that have global impact and scale to all E.ON countries.
You evaluate new data technologies to efficiently integrate latest machine learning solutions and analytical modules into operational cloud services.
You increase efficiency and time-to-market by implementing re-usable artificial intelligence models.
You enhance analytics capabilities by extracting information from diverse sets of structured, unstructured, batch and streaming data.
You ensure high quality and stability through agile processes and peer code reviews.
You share your ideas and convince to go new ways.
Your Profile:
You have a degree in Computer Science or a related technical discipline or other significant work experience.
You have hands-on coding experience to process huge data sets, time series analysis, perform statistical data analysis and build supervised and unsupervised models in Python.
You love mathematics and statistics.
You already have knowledge of Machine Learning frameworks like MLlib, scikit-learn, Azure ML, etc.
Ideally you have already experience with data transformations in Spark and Databricks.
Ideally you already know how to implement pipelines in Azure Data Factory, and how to efficiently deploy analytical modules.
Working with gi Give two different versions of responses. Please separate the responses with 6 asterisk symbols: ******.
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