SENIOR AI Architect & Data Science
Tasks
- Build NLP models for industrial use cases
- Create technical specifications for model reproducibility versioning and quality
- Define and document Generative AI architectural patterns
- Design AI and Machine Learning architectures
- Design data architectures with Lakehouse and Data Mesh
- Develop machine learning and deep learning models
- Document technical knowledge base patterns solutions and lessons learned
- Evaluate AI ML technologies platforms and frameworks
- Integrate LLMs and AI Agents into production pipelines
- Monitor model drift and run A B testing and retraining
- Perform exploratory data analysis feature engineering and model selection
- Validate model correctness robustness through technical reviews and quality tests
Perks/Benefits
- Continuous training
- Meal vouchers
- Performance bonus converted to welfare
- Smart working
- Travel as needed
- Welfare benefits
Skills/Tech-stack
Apache Kafka | Apache Spark | CI/CD | Data Lakehouse | Data mesh | Databricks | Deep learning | Delta Lake | Delta Sharing | Generative AI | Hugging Face | LLM | Language Processing | MLOps | MLflow | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | PySpark | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Unity Catalog | Vector Search
Education
Roles
AI Architect | Architect | Data Scientist | Scientist | Senior AI Architect | Senior Data Scientist
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