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GenAI Data Scientist

Amadora

Job description

The focus of the service is for expert collaboration in one of the many AI and data science projects, namely on NLP, GenAI and core data science activities

Requirements

Senior Level - Strong fluency (i.e. CEFR level C) in English, written and spoken, is mandatory.
Senior Level - At least 5 years of direct professional experience in Data Science / ML projects. This is mandatory.
Senior Level - Professional experience in end-to-end data science / machine learning initiatives, encompassing data understanding, preparation, modelling and evaluation, and deployment, is mandatory.
Senior Level - Solid command of data science concepts and principles - especially around EDA, modelling and evaluation - is mandatory.
Senior Level - Professional experience with Python and industry standard Python data science / ML frameworks (e.g. scikit, pytorch, keras, opencv, pandas, others) is mandatory.
Senior Level - Professional experience in data preparation/transformation (e.g. SQL, pandas) is mandatory.
Mid-Level - Direct professional experience with cloud infrastructure is mandatory, AWS is highly preferred.
Mid-Level - Experience with LLM, RAG, prompt engineering and Generative AI (e.g. OpenAI, Bedrock) technologies is mandatory.
Mid-Level - Professional experience with MLOps solutions (e.g. MLflow, Databricks) is highly valued.
Mid-Level - Professional experience with software engineering best practices and tools (Git, CI/CD, unit testing) is highly valued.

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