Remote AI/ML Data Scientist with MLOps

Quik Hire Staffing

Ancona

Remoto

EUR 78.000 - 104.000

Tempo pieno

6 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML) to develop and deploy machine learning models in a Full-Time, remote role. You will collaborate with cross-functional teams to drive data-driven solutions and automate workflows.

The ideal candidate has strong Python ML library experience, SQL skills, and familiarity with cloud platforms like AWS, GCP, or Azure. This is a fully remote opportunity offering collaboration with a global software development leader.

Competenze

  • Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Strong background in statistical modeling and experimental design.
  • Experience with SQL and cloud platforms (AWS, GCP, Azure) for deployment.

Mansioni

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

Conoscenze

Python
Statistical modeling
Experimental design
Independent remote work

Strumenti

scikit-learn
TensorFlow
PyTorch
SQL
AWS
GCP
Azure
Jupyter notebooks

Descrizione del lavoro

Quik Hire Staffing is seeking a Data Scientist (ML) to develop and deploy machine learning models in a Full-Time, remote role. You will collaborate with cross-functional teams to drive data-driven solutions and automate workflows.

The ideal candidate has strong Python ML library experience, SQL skills, and familiarity with cloud platforms like AWS, GCP, or Azure. This is a fully remote opportunity offering collaboration with a global software development leader.

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