Remote AI/ML Data Scientist - Build & Deploy Models

Quik Hire Staffing

Torino

Remoto

EUR 60.000 - 90.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist specialized in AI/ML to design, train, and deploy models for diverse client datasets. This full-time remote role offers collaboration with cross-functional teams, reproducible experiments in Python, and modern ML tooling.

You will translate data insights into actionable strategies and scalable solutions, with opportunities to impact outcomes worldwide. Applicants should be strong in Python ecosystems, SQL, statistics, and cloud deployment on

Competenze

  • Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Experience with SQL for data extraction and analysis.
  • Strong background in statistical modeling and experimental design.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
  • Ability to work independently in a remote environment.

Mansioni

  • Design, train, and optimize ML models for classification, regression, and clustering.
  • Preprocess and analyze large-scale structured and unstructured data to extract insights.
  • Implement and maintain MLOps pipelines for deployment, monitoring, and retraining.
  • Document reproducible experiments using Python, Jupyter, and version control.
  • Present findings to stakeholders with clear visualizations and reports.

Conoscenze

Python
scikit-learn/TensorFlow/PyTorch
SQL
Statistics
Cloud deployment (AWS/GCP/Azure)
Independent work (remote)

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist specialized in AI/ML to design, train, and deploy models for diverse client datasets. This full-time remote role offers collaboration with cross-functional teams, reproducible experiments in Python, and modern ML tooling.

You will translate data insights into actionable strategies and scalable solutions, with opportunities to impact outcomes worldwide. Applicants should be strong in Python ecosystems, SQL, statistics, and cloud deployment on

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