02.08.2025 aktualisiert
100 % verfügbar
Senior Machine Learning Engineer
Munich, Deutschland
Weltweit
M.Sc. Computer ScienceSkills
Künstliche IntelligenzAlgorithmusAmazon Web ServicesData AnalysisComputer VisionBig DataCloud ComputingInformation EngineeringDevOpsForecastingInfrastrukturPythonMachine LearningNatural Language ProcessingSoftwareentwicklung
Machine Learning
Expertise in various machine learning techniques including deep learning, computer vision, and natural language processing. Development of chatbots, forecasting models, and classification algorithms.
Data Engineering
Building and optimizing data pipelines using tools like Databricks. Experience with big data technologies and cloud platforms such as AWS.
Software Development
Proficiency in programming languages and frameworks such as Python. Development of scalable applications and systems.
Cloud Computing
AWS Certified Cloud Practitioner and Machine Learning Specialty. Experience with cloud deployment and infrastructure management.
Data Analysis
Creation of real-time reports and dashboards using tools like Qlik Sense. Ability to derive insights from complex datasets.
DevOps
Knowledge of Docker, MLOps, and deployment practices. Experience in maintaining and optimizing data pipelines and infrastructure.
AI Technologies
Proficiency in advanced AI techniques such as Generative AI and Retrieval-Augmented Generation (RAG). Application of these technologies in practical business scenarios.
Expertise in various machine learning techniques including deep learning, computer vision, and natural language processing. Development of chatbots, forecasting models, and classification algorithms.
Data Engineering
Building and optimizing data pipelines using tools like Databricks. Experience with big data technologies and cloud platforms such as AWS.
Software Development
Proficiency in programming languages and frameworks such as Python. Development of scalable applications and systems.
Cloud Computing
AWS Certified Cloud Practitioner and Machine Learning Specialty. Experience with cloud deployment and infrastructure management.
Data Analysis
Creation of real-time reports and dashboards using tools like Qlik Sense. Ability to derive insights from complex datasets.
DevOps
Knowledge of Docker, MLOps, and deployment practices. Experience in maintaining and optimizing data pipelines and infrastructure.
AI Technologies
Proficiency in advanced AI techniques such as Generative AI and Retrieval-Augmented Generation (RAG). Application of these technologies in practical business scenarios.
Sprachen
DeutschverhandlungssicherEnglischverhandlungssicherFranzösischMuttersprache
Projekthistorie
Built a data pipeline in Databricks for optimized ad campaign placements. Organized knowledge sharing sessions to enhance synergy across the data department.
Led development of a RAG-powered chatbot for sales teams. Enhanced content categorization using IAB standards. Developed ML models for user activity prediction and TV attribution.
Migrated TV attribution system to AWS, reducing costs. Implemented web application for monitoring data pipelines. Developed classification model for user demographics prediction.