Job Title: Data Scientist
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid (2x office days)
Overview / Summary:
We are looking for a Data Engineer to join our team and support the design development and optimization of scalable data solutions in a cloud-based environment. You will work with AWS Python and SQL to build reliable data pipelines enable analytics initiatives and contribute to a collaborative hybrid work setting.
Responsibilities and Tasks:
- Lead and design and develop Generative AI solutions including transformer models embeddings and LLM-based pipelines.
- Build and optimize traditional ML models for multiple use cases ensuring strong data preparation and feature engineering.
- Automate version deploy and monitor data science pipelines using MLOps best practices.
- Communicate analytical results clearly and stay current with trends in AI ML and cloud technologies.
- Lead a growing team and support pre-sales activities including proposal development.
Requirements
Mandatory Requirements:
- 4 years of previous experience as a Data Scientist mainly leading roles.
- Experience with GenAI development projects (transformers embeddings prompt engineering).
- Experience with Advanced Data Science libraries and Python (NumPy Pandas visualize with Matplotlib and Seaborn build models with Scikit-learn)
- Experience with PySpark and MLOps (model versioning experiment tracking (e.g. MLflow) deployment and monitoring).
- Experience with Azure AWS and GCP.
Complementary Requirements:
- Experience with open-source LLMs.
- LangChain LangSmith ou LlamaIndex.
- Cloud Certifications: Microsoft Azure AI Engineer Associate Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty).
Benefits
Important:
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
#VisionaryFuture - Build the future join our living ecosystem!
Required Skills:
Requirements Mandatory Requirements: 4 years of previous experience as a Data Scientist mainly leading roles. Experience with GenAI development projects (transformers embeddings prompt engineering). Experience with Advanced Data Science libraries and Python (NumPy Pandas visualize with Matplotlib and Seaborn build models with Scikit-learn) Experience with PySpark and MLOps (model versioning experiment tracking (e.g. MLflow) deployment and monitoring). Experience with Azure AWS and GCP.
Job Title: Data ScientistLocation: Lisbon PortugalWork Regime: Full-time & Hybrid (2x office days)Overview / Summary: We are looking for a Data Engineer to join our team and support the design development and optimization of scalable data solutions in a cloud-based environment. You will work with AW...
Job Title: Data Scientist
Location: Lisbon Portugal
Work Regime: Full-time & Hybrid (2x office days)
Overview / Summary:
We are looking for a Data Engineer to join our team and support the design development and optimization of scalable data solutions in a cloud-based environment. You will work with AWS Python and SQL to build reliable data pipelines enable analytics initiatives and contribute to a collaborative hybrid work setting.
Responsibilities and Tasks:
- Lead and design and develop Generative AI solutions including transformer models embeddings and LLM-based pipelines.
- Build and optimize traditional ML models for multiple use cases ensuring strong data preparation and feature engineering.
- Automate version deploy and monitor data science pipelines using MLOps best practices.
- Communicate analytical results clearly and stay current with trends in AI ML and cloud technologies.
- Lead a growing team and support pre-sales activities including proposal development.
Requirements
Mandatory Requirements:
- 4 years of previous experience as a Data Scientist mainly leading roles.
- Experience with GenAI development projects (transformers embeddings prompt engineering).
- Experience with Advanced Data Science libraries and Python (NumPy Pandas visualize with Matplotlib and Seaborn build models with Scikit-learn)
- Experience with PySpark and MLOps (model versioning experiment tracking (e.g. MLflow) deployment and monitoring).
- Experience with Azure AWS and GCP.
Complementary Requirements:
- Experience with open-source LLMs.
- LangChain LangSmith ou LlamaIndex.
- Cloud Certifications: Microsoft Azure AI Engineer Associate Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty).
Benefits
Important:
- Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
- Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.
#VisionaryFuture - Build the future join our living ecosystem!
Required Skills:
Requirements Mandatory Requirements: 4 years of previous experience as a Data Scientist mainly leading roles. Experience with GenAI development projects (transformers embeddings prompt engineering). Experience with Advanced Data Science libraries and Python (NumPy Pandas visualize with Matplotlib and Seaborn build models with Scikit-learn) Experience with PySpark and MLOps (model versioning experiment tracking (e.g. MLflow) deployment and monitoring). Experience with Azure AWS and GCP.
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