Remote AI/ML Data Scientist for Scalable Models

Quik Hire Staffing; Pordenone; Remoto; EUR 78.000 - 130.000; Tempo pieno

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML/AI) to design, train, and deploy machine learning models for client datasets in a fully remote, full-time position. The role emphasizes building predictive models and collaborating across teams to implement data-driven solutions.

The ideal candidate has strong Python experience with ML libraries, SQL proficiency, and a solid background in statistical modeling.

Competenze

• 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 including AWS, GCP, or Azure for model deployment.
• Ability to work independently in a remote environment with minimal supervision.

Mansioni

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

Conoscenze

Python

SQL

Statistical modeling

Experimental design

Independent work

Strumenti

scikit-learn

TensorFlow

PyTorch

Jupyter notebooks

Git

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML/AI) to design, train, and deploy machine learning models for client datasets in a fully remote, full-time position. The role emphasizes building predictive models and collaborating across teams to implement data-driven solutions.

The ideal candidate has strong Python experience with ML libraries, SQL proficiency, and a solid background in statistical modeling.