Mid MLOps Engineer - Hybrid Lisbon, Productionize ML

DataSmart

Lisboa

Híbrido

EUR 60 000 - 90 000

Tempo integral

há 46 horas
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Resumo da oferta

DataSmart is seeking a Mid Machine Learning Engineer (Hybrid – Lisbon) to productionize models, build ML CI/CD pipelines, and optimize deployments. You will collaborate with Data Scientists and Data Engineers to ensure scalable, testable Python code and robust model serving APIs using FastAPI or Flask.

Ideal candidates have 3+ years in ML, strong Python and SQL, experience with TensorFlow/PyTorch/Scikit-learn, and familiarity with cloud platforms and Docker/Kubernetes.

Qualificações

  • 3+ years of professional experience in Machine Learning.
  • Strong Python skills with well-structured, testable code.
  • Strong SQL skills for querying and manipulating data.
  • Understanding of MLOps fundamentals, including Git versioning and code reviews.
  • Experience with core ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with CI/CD pipelines (GitHub Actions or Jenkins).
  • Familiarity with AWS, GCP, or Azure for running ML workloads.
  • Experience deploying models using Docker and/or Kubernetes.
  • Familiarity with building model-serving APIs (FastAPI or Flask).
  • English proficiency professional level (minimum B2).
  • Residence in Portugal with ability to work in hybrid Lisbon.

Responsabilidades

  • Productionize ML models and deploy them into production environments.
  • Build and maintain ML-focused CI/CD pipelines for model deployment.
  • Monitor production models, track performance and alert on failures.
  • Develop clean, testable Python code aligned with engineering standards.
  • Collaborate with Data Scientists and Data Engineers on deployment and data transformations.
  • Optimize model performance and operational efficiency in production.
  • Contribute to retraining automation and MLOps improvements.
  • Own production deployments, pipelines, monitoring, and fixes.

Conhecimentos

Python
SQL
MLOps
CI/CD pipelines
Cloud platforms
Model deployment
FastAPI/Flask
Team collaboration

Ferramentas

Docker
Kubernetes
GitHub Actions
Jenkins
TensorFlow
PyTorch
Scikit-learn
AWS
GCP
Azure
FastAPI
Flask

Descrição da oferta de emprego

DataSmart is seeking a Mid Machine Learning Engineer (Hybrid – Lisbon) to productionize models, build ML CI/CD pipelines, and optimize deployments. You will collaborate with Data Scientists and Data Engineers to ensure scalable, testable Python code and robust model serving APIs using FastAPI or Flask.

Ideal candidates have 3+ years in ML, strong Python and SQL, experience with TensorFlow/PyTorch/Scikit-learn, and familiarity with cloud platforms and Docker/Kubernetes.

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