Required skills
Languages: German
Job description
We are looking for an experienced Data Scientist / MLOps Engineer with practical experience in Machine Learning and AI for a project in the finance sector.
Project overview
Data Scientist / MLOps Engineer – AI
For a project in the finance environment, we are looking for an experienced Data Scientist / MLOps Engineer who already has sound practical experience in Machine Learning and AI and can quickly familiarize themselves with an existing AI and data landscape.
Responsibilities
Possible Use Cases
In the project, data is processed by models to predict future customer behavior, for example. This includes, among others:
Technical Focus
- Development and deployment of Machine Learning and AI models
- Development and use of smaller LLMs for specific use cases
- Building and further developing MLOps structures and processes
- Preparation and provision of data for AI and ML models
- Connection of existing data sources to existing AI solutions
- Data processing
- Development of models for predictive analytics and scoring use cases
- Quick familiarization with the existing AI landscape and operational support of the existing team
- Prediction of whether a customer might be interested in a product in the near future
- Development of scoring and prediction models
- Prediction of closing probabilities or possible customer behavior towards competitors
- Development of further specific AI/ML use cases based on existing banking data
- Data Science
- Machine Learning / MLOps
- AI / AI
- LLM / Small LLM
- Python
- SQL
- Databricks
- PyTorch
- Data Vault
- SaaS
- Data preparation for AI/ML applications
Project details
- Start: ab sofort
- Duration: 6 Monate
- Location: DE
- Languages: German
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