Remote Data Scientist - AI/ML & MLOps Expert

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

Descrizione del lavoro

Quik Hire Staffing is assisting a client in hiring a Data Scientist (ML) to design, train, and deploy machine learning models for predictive analytics in a fully remote, full-time role.

You will preprocess large datasets, build ML solutions, and contribute to MLOps pipelines, collaborating with cross-functional teams while working independently in a remote environment. Proficiency in Python and libraries, SQL, cloud deployment, and strong statistical modeling are required.

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

MLOps

Cloud deployment

Strumenti

scikit-learn

TensorFlow

PyTorch

Jupyter notebooks

Version control

Descrizione del lavoro

Quik Hire Staffing is assisting a client in hiring a Data Scientist (ML) to design, train, and deploy machine learning models for predictive analytics in a fully remote, full-time role.

You will preprocess large datasets, build ML solutions, and contribute to MLOps pipelines, collaborating with cross-functional teams while working independently in a remote environment. Proficiency in Python and libraries, SQL, cloud deployment, and strong statistical modeling are required.