Lead Data Scientist: Generative AI & ML Leader - Lisbon
MOZAYDO
Lisboa
Híbrido
EUR 50 000 - 70 000
Tempo integral
14 dias+
Gerador de candidaturas
Uma candidatura completa num minuto — currículo personalizado e carta de apresentação, prontos a enviar.
Ultrapassa os filtros ATS
Vantagens oferecidas por esta oferta de emprego
Culture of autonomy and trust
Challenging projects
Opportunities for growth
Resumo da oferta
A technology-driven company in Lisbon seeks a Data Scientist Team Lead to design and implement Generative AI systems. This role involves leading a team, developing advanced predictive models, and optimizing large-scale analytics pipelines. Candidates should have over 5 years of experience in Data Science, proficiency in Python, and a strong background in machine learning. The position offers a full-time, hybrid work model, emphasizing company culture that values autonomy and personal growth.
Qualificações
5+ years of experience as a Data Scientist, including end-to-end project delivery.
Proven experience leading data science teams, mentoring, or technically guiding peers.
Hands-on experience building Generative AI solutions, using Transformers and prompt engineering.
Responsabilidades
Design and develop Generative AI solutions using models leveraging transformers.
Build and optimize traditional Machine Learning models for various tasks.
Ensure reproducibility and automation of ML pipelines using best practices.
Conhecimentos
Generative AI solutions
Machine Learning models
Data manipulation
MLOps
Team management
Python programming
Formação académica
Degree or Master’s in Computer Science, Engineering, Applied Mathematics, Data Science
Ferramentas
Azure
AWS
GCP
PySpark
Descrição da oferta de emprego
A technology-driven company in Lisbon seeks a Data Scientist Team Lead to design and implement Generative AI systems. This role involves leading a team, developing advanced predictive models, and optimizing large-scale analytics pipelines. Candidates should have over 5 years of experience in Data Science, proficiency in Python, and a strong background in machine learning. The position offers a full-time, hybrid work model, emphasizing company culture that values autonomy and personal growth.
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