Data Scientist
Tasks
- Apply MLOps for scalability reliability and monitoring
- Build and maintain Databricks pipelines and model deployment workflows
- Collaborate with engineers to integrate models into enterprise data platforms
- Contribute to architecture discussions and ensure governance compliance
- Design develop deploy and maintain statistical and machine learning models
- Develop AI solutions using LangChain and LangGraph
- Implement experimentation validation and testing for models
- Maintain documentation for models pipelines and processes
- Operationalize AI solutions with Azure AI Foundry
- Translate business problems into data and AI use cases
- Write production-grade Python code
Perks/Benefits
- Company phone
- High pension contribution
- Home office voucher
- Hybrid work
- In-house learning
- Internet allowance
- Laptop
- Paid Holidays
- Personal development budget
- Professional development budget
- Travel expenses
- Vitality program
Skills/Tech-stack
AI Foundry | Apache Spark | Azure | Azure AI | Azure AI Foundry | Cloud Computing | Data Validation | Databricks | Experimentation | Integration Testing | Langchain | Langgraph | MLOps | Machine Learning | Model Monitoring | Model Validation | PySpark | Python | Statistical modeling | Unit Testing
Education
Roles
Regions
Countries
States
Cities
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