Remote Data Scientist: AI/ML + MLOps & Insights

Quik Hire Staffing

Italia

Remote

EUR 52,000 - 90,000

Full time

2 days ago
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Job summary

Quik Hire Staffing is seeking a Data Scientist (ML) on a full-time basis to design, train, and deploy machine learning models that improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows in a remote environment.

The role offers exposure to cutting-edge tools, scalable AI projects, and opportunities to contribute to the development of production-grade pipelines.

Qualifications

  • Proficiency in Python and libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience with SQL for data extraction, transformation, and analysis.
  • Strong background in statistical modeling and experimental design.
  • Familiarity with cloud platforms for model deployment.
  • Ability to work independently in a remote environment with minimal supervision.

Responsibilities

  • Design, train, and optimize machine learning models for classification, regression, and clustering tasks.
  • Preprocess and analyze large-scale datasets to extract actionable insights.
  • Implement and maintain MLOps pipelines for deployment, monitoring, and retraining.
  • Develop reproducible experiments using Python, Jupyter, and version control.
  • Present findings to stakeholders through clear visualizations and technical reports.

Skills

Python
SQL
Statistical Modeling
MLOps
Remote Work

Tools

scikit-learn
TensorFlow
PyTorch
SQL

Job description

Quik Hire Staffing is seeking a Data Scientist (ML) on a full-time basis to design, train, and deploy machine learning models that improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows in a remote environment.

The role offers exposure to cutting-edge tools, scalable AI projects, and opportunities to contribute to the development of production-grade pipelines.

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