Data Scientist - AI/ML (Remote)

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

• Role: Data Scientist - AI/ML (Remote)


• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a Full-Time basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.

Key Responsibilities:

• 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.

Required Skills & Qualifications:

• Proficiency in Python and relevant 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.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.