Intermediate Data Scientist (M/F)
SoftinsaDescrição da oferta:
A Softinsa foi reconhecida como Best Workplace em Portugal, pela Great Place To Work.
Aceitas o Desafio de pertencer a uma das melhores empresas para trabalhar em Portugal?
A Softinsa, empresa do grupo IBM, é especialista na oferta de serviços profissionais integrados no âmbito das tecnologias de informação. Conta atualmente com uma equipa composta por mais de 700 Técnicos e Consultores especializados no desenvolvimento, implementação e gestão das soluções que melhor se adaptam às necessidades dos seus clientes, contribuindo para que as suas empresas sejam mais competitivas e rentáveis.
Procuramos Data Scientist com um mínimo de 2-3 anos de experiência no desenvolvimento de machine learning e deep learning models.
O(a) candidato(a) ideal terá experiência comprovada no desenho e implementação de soluções de Inteligência Artificial (GenAI).
O domínio de Inglês é obrigatório.
Requirements:
– Minimum of 2-3 years of experience in the development of machine learning and deep learning models;
– Experience in the implementation of GenAI solutions is preferred;
– Mandatory strong knowledge of Python programming language;
– Familiarity with machine learning libraries and frameworks, such as TensorFlow, Keras, PyTorch, or Scikit-learn;
– Familiarity with data science frameworks and platforms, such as Databricks, Apache Spark, or similar;
– Advanced knowledge of data preprocessing techniques, feature engineering, and model selection;
– Ability to clearly and effectively communicate the results and insights of complex analyses to stakeholders;
– Skill in working independently and as part of a team, adapting to changes and priorities;
– English is mandatory;
– Master’s in Computer Science, Engineering, Statistics, Mathematics, or a related field.
Responsibilities:
– Develop and implement advanced machine learning and deep learning models to solve complex problems and generate valuable insights;
– Collaborate with multidisciplinary teams to understand business objectives and develop General Artificial Intelligence (GenAI) solutions to meet these needs;
– Perform data analysis and identify opportunities for improvement in existing models and processes;
– Participate in defining and monitoring performance metrics for developed models;
– Communicate the results of analyses and recommend actions to improve decision-making for stakeholders;
– Stay up-to-date on the latest trends and developments in the field of data science, machine learning, and deep learning;
– Communicate results effectively to clients and provide technical leadership to other team members.
Our value proposition:
– Integration into a young and dynamic team;
– Access to initial and ongoing training in soft skills and technical competencies;
– Integration in IBM international projects;
– Excellent conditions for professional progression.