Remote ML Engineer: Build & Deploy AI Models

Hire Feed

Plasencia

Remoto

EUR 60.000 - 90.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Hire Feed is seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. You will develop scalable ML pipelines and collaborate with cross-functional teams to integrate models into production systems.

Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance while working remotely across time zones with a global leader in technology and information services.

Competenze

  • Proficiency in Python and ML frameworks (TensorFlow or PyTorch).
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Knowledge of cloud platforms (AWS, GCP, or Azure) for ML deployment.
  • Familiarity with MLOps practices and CI/CD pipelines for model deployment.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Mansioni

  • Design, train, and deploy ML models to solve complex business problems.
  • Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
  • Collaborate with data engineers and software developers to integrate models into production systems.
  • Monitor model performance, troubleshoot issues, and implement improvements.
  • Ensure compliance with data governance and security standards in model development.

Conoscenze

Python
TensorFlow
PyTorch
Data preprocessing
Feature engineering
Model evaluation
Cloud platforms
MLOps CI/CD
Problem-solving

Strumenti

CI/CD pipelines

Descrizione del lavoro

Hire Feed is seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. You will develop scalable ML pipelines and collaborate with cross-functional teams to integrate models into production systems.

Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance while working remotely across time zones with a global leader in technology and information services.

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