Erfaren Software Developer / Data Scientist
Tasks
- Build ETL pipelines
- Build REST APIs
- Create interactive dashboards
- Deploy applications with Docker and Kubernetes
- Develop AI and machine learning models
- Develop predictive maintenance models
- Develop scalable backend services
- Engineer prompts and manage multi agent frameworks
- Forecast demand
- Implement CI/CD workflows
- Implement LLM-based solutions
- Manage versions with GIT
- Orchestrate batch and realtime data workflows
- Perform fault analysis
- Visualize data
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Airflow | Anomaly Detection | CI/CD | Data Reliability | Data Warehousing | Deep learning | Docker | ETL | FastAPI | Flask | Git | Keras | Kubernetes | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | NumPy | Observability | Pandas | Plotly | Predictive Maintenance | Prompt engineering | PyTorch | Python | REST | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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