Data Scientist / AI Engineer
Tasks
- Analyze semantic data
- Apply NLP for information extraction
- Apply NLP for text summarization
- Build classification models
- Build clustering models
- Build regression models
- Conduct proof of concept (POC)
- Deploy models to cloud
- Design machine learning models
- Detect anomalies
- Document technical solutions
- Ensure responsible AI compliance
- Integrate models into production pipelines
- Support user training
- Train machine learning models
- Validate deep learning models
- Validate functional requirements
Perks/Benefits
- 100 percent remote work
- Childcare support card
- Collaborative work environment
- Employee discount portal
- Flexible compensation plan
- Gympass
- Indefinite contract
- Meal card
- Medical insurance
- Training plans
- Transport card
Skills/Tech-stack
Anomaly Detection | Automl | Azure OpenAI | Classification | Cloud Run | Clustering | Data Visualization | Deep learning | Docker | Document AI | Embeddings | Gemini | Google Cloud | Kubernetes | Machine Learning | Microservices | NLP | PyCaret | PyTorch | Regression | Scikit-learn | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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