28.11.2025 aktualisiert
Premiumkunde
100 % verfügbarSenior Data Scientist / Machine Learning Engineer
hattingen, Deutschland
Weltweit
Post-Graduate Diploma in Machine LearningSkills
Amazon Web ServicesData AnalysisComputer VisionTest AutomationMicrosoft AzureCloud ComputingClusteranalyseContinuous IntegrationInformation EngineeringData MiningDatenvisualisierungFaktorenanalyseStatistische HypothesentestsInfrastrukturPythonMachine LearningNatural Language ProcessingPredictive AnalyticsTensorflowSentiment DetectionStatistikenModern UiPytorchReactJSFlaskDeep LearningQuestion AnsweringContainerisierungApi DesignTerraformDocument ClassificationGPTDaten-PipelineDockerDatabricksProgramming Languages
Machine Learning
Expertise in developing and deploying machine learning models using various frameworks including TensorFlow, PyTorch, and AWS Sagemaker. Experience with natural language processing, computer vision, and predictive analytics.
Data Engineering
Proficiency in building scalable data pipelines and architectures using Databricks, Azure, and AWS. Experience in automating data extraction, transformation, and loading processes for real-time analytics.
Cloud Technologies
Advanced knowledge of cloud platforms including Azure and AWS for deploying and scaling ML models. Experience with CI/CD pipelines, containerization with Docker, and infrastructure as code using Terraform.
Programming Languages
Proficiency in Python for data analysis, machine learning model development, and automation scripts. Experience with frameworks like Flask for API development.
Natural Language Processing
Experience in developing NLP solutions including sentiment analysis, question answering systems, and text classification using models like GPT and LSTM.
Statistical Analysis
Knowledge of predictive analysis, hypothesis testing, factor analysis, conjoint and cluster analysis for data-driven decision making.
Data Visualization
Skills in creating interactive dashboards and visualizations using React and modern UI frameworks to communicate insights effectively.
Expertise in developing and deploying machine learning models using various frameworks including TensorFlow, PyTorch, and AWS Sagemaker. Experience with natural language processing, computer vision, and predictive analytics.
Data Engineering
Proficiency in building scalable data pipelines and architectures using Databricks, Azure, and AWS. Experience in automating data extraction, transformation, and loading processes for real-time analytics.
Cloud Technologies
Advanced knowledge of cloud platforms including Azure and AWS for deploying and scaling ML models. Experience with CI/CD pipelines, containerization with Docker, and infrastructure as code using Terraform.
Programming Languages
Proficiency in Python for data analysis, machine learning model development, and automation scripts. Experience with frameworks like Flask for API development.
Natural Language Processing
Experience in developing NLP solutions including sentiment analysis, question answering systems, and text classification using models like GPT and LSTM.
Statistical Analysis
Knowledge of predictive analysis, hypothesis testing, factor analysis, conjoint and cluster analysis for data-driven decision making.
Data Visualization
Skills in creating interactive dashboards and visualizations using React and modern UI frameworks to communicate insights effectively.
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Developed scalable architecture with FastAPI backends on Azure Red Hat OpenShift. Migrated ML models from VMs to Databricks. Enhanced ML Observability platform with automation scripts. Implemented Medical QA using GPT2 and developed multimodal neural networks for image captioning.
Developed ML models with AWS Sagemaker, implemented document text extraction with Azure AI, created data validation platforms, and built a patient survival prediction system using XGBoost. Developed sentiment classification on Amazon reviews using LSTM models.
Integrated data sources and APIs with Django, created data visualizations with React and MUI, and developed a Parkinson's disease diagnostic system using Random Forests and other classification algorithms.