Remote AI/ML Engineer — Build & Deploy Scalable Models

Quik Hire Staffing

Napoli

Remoto

EUR 78.000 - 113.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Trasforma questo ruolo in un colloquio — un curriculum e una lettera di presentazione creati in base a ciò che questo datore di lavoro cerca.

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Descrizione del lavoro

Quik Hire Staffing is seeking an AI/ML Engineer to design and deploy machine learning models in a fully remote, full-time role. You will work with cross-functional teams to integrate AI solutions into production systems.

You should be proficient in Python and ML libraries like TensorFlow or PyTorch, comfortable with data preprocessing, and familiar with cloud platforms and MLOps pipelines. The role offers enterprise exposure, model benchmarking, and collaboration with software engineers to scale

Competenze

  • Proficiency in Python with ML libraries.
  • Data preprocessing, feature engineering, and model evaluation.
  • Knowledge of cloud platforms (AWS, GCP, or Azure) for deployment and scaling.
  • Familiarity with MLOps practices, including CI/CD pipelines for machine learning.
  • Strong problem-solving skills with the ability to translate business requirements into technical solutions.

Mansioni

  • Design, develop, and optimize ML models using Python and ML frameworks.
  • Preprocess, clean, and transform large datasets for training.
  • Deploy and monitor models in production environments.
  • Collaborate with software engineers to integrate AI solutions.
  • Conduct benchmarking and model validation to ensure accuracy and efficiency.

Conoscenze

Python
Data preprocessing
Model evaluation
Cloud platforms (AWS/GCP/Azure)
MLOps

Strumenti

TensorFlow
PyTorch
Jenkins

Descrizione del lavoro

Quik Hire Staffing is seeking an AI/ML Engineer to design and deploy machine learning models in a fully remote, full-time role. You will work with cross-functional teams to integrate AI solutions into production systems.

You should be proficient in Python and ML libraries like TensorFlow or PyTorch, comfortable with data preprocessing, and familiar with cloud platforms and MLOps pipelines. The role offers enterprise exposure, model benchmarking, and collaboration with software engineers to scale

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