Applied AI Engineer: Finance Automation & ML

Siemens Energy

Lisboa

Presencial

EUR 60 000 - 90 000

Tempo integral

14 dias+
Gerador de candidaturas

Uma candidatura feita para esta oferta — um currículo e uma carta de apresentação personalizados que vão ao encontro do anúncio.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Pension scheme
Siemens Energy shareholder option
Remote working options
Learning programmesand materials for自

Resumo da oferta

Siemens Energy is seeking an AI/ML Engineer for the Applied AI Solutions team in Lisbon, Portugal. You will develop and deploy AI‑driven automation solutions to modernize digital finance operations, prototype models, and contribute to MVPs within Agile teams.

You should have a university degree in a technical field, hands-on experience with Python, AWS, Snowflake and AI frameworks, and a strong understanding of enterprise architecture and data privacy. Remote-friendly work options are available.

Qualificações

  • University degree in a technical field or equivalent professional experience.
  • Proven experience deploying AI‑based automation solutions in business environments, ideally Finance.
  • Strong Python, AWS, Snowflake and AI framework expertise for production-grade apps.

Responsabilidades

  • Develop and deploy AI‑driven solutions to address forecasting, anomaly detection, and document classification.
  • Design data pipelines and cloud architectures for experimentation, training, validation, and testing.
  • Integrate AI components into automation workflows and microservice architectures.

Conhecimentos

Python
AWS
Snowflake
AI frameworks
Agile

Formação académica

University degree in Computer Science, Data Science, Engineering or related field

Descrição da oferta de emprego

Siemens Energy is seeking an AI/ML Engineer for the Applied AI Solutions team in Lisbon, Portugal. You will develop and deploy AI‑driven automation solutions to modernize digital finance operations, prototype models, and contribute to MVPs within Agile teams.

You should have a university degree in a technical field, hands-on experience with Python, AWS, Snowflake and AI frameworks, and a strong understanding of enterprise architecture and data privacy. Remote-friendly work options are available.

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