Senior ML Engineer — Lead Production ML (Remote/Hybrid)

TX Services

Porto

Híbrido

EUR 70 000 - 95 000

Tempo integral

14 dias+
Gerador de candidaturas

Recebe uma resposta deste empregador — um currículo e uma carta de apresentação adaptados exatamente ao que estão a contratar.

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Vantagens oferecidas por esta oferta de emprego

Meal allowance
Work-from-home allowance
Gym allowance
Private health insurance (family)

Resumo da oferta

TX Group, through its JobCloud unit in Porto, Portugal, seeks a Senior Machine Learning Engineer to architect scalable ML infrastructure and deploy production systems that serve diverse business needs. As a senior member, you will mentor teammates and drive technical excellence while transforming data science prototypes into robust services.

The role offers a flexible work arrangement (full remote or hybrid) with extensive perks, including meal and wellness allowances, private health insurance,

Qualificações

  • 5+ years of experience in ML Engineering, MLOps, or closely related roles.
  • Proven experience deploying and maintaining ML models in production at scale.
  • Strong Python skills and ML ecosystem knowledge.

Responsabilidades

  • Translate experimental models into scalable, production-grade ML systems.
  • Build high-performance, low-latency model-serving architectures.
  • Lead ML productionization standards across coding, testing, and deployment.
  • Collaborate across Data Science, Engineering, and Operations as the technical interface.
  • Define model performance monitoring for production reliability.

Conhecimentos

Python
MLOps
AWS
Docker
LLMs
RAG
Data ecosystems
Production ML

Ferramentas

Kubernetes
Terraform
MLflow

Descrição da oferta de emprego

TX Group, through its JobCloud unit in Porto, Portugal, seeks a Senior Machine Learning Engineer to architect scalable ML infrastructure and deploy production systems that serve diverse business needs. As a senior member, you will mentor teammates and drive technical excellence while transforming data science prototypes into robust services.

The role offers a flexible work arrangement (full remote or hybrid) with extensive perks, including meal and wellness allowances, private health insurance,

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