Remote Computer Vision ML Engineer — End-to-End Solutions

Hired

Reggio Emilia

Remoto

EUR 104.000 - 147.000

Tempo pieno

3 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.

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Descrizione del lavoro

Hired is seeking a Python Machine Learning Engineer to drive design, development and delivery of advanced ML solutions in a remote role. You will lead and mentor while aligning ML initiatives with business goals across teams.

Required: 4+ years in data science, strong Python expertise, and experience with ML frameworks such as PyTorch and scikit-learn. You will translate business problems into robust ML architectures and stay ahead with AI research.

Competenze

  • Degree in a quantitative field such as CS/ML/AI or statistics.
  • 4+ years hands-on data science and ML development experience.
  • Proficiency in supervised/ unsupervised learning, time-series forecasting, NLP.

Mansioni

  • Own end-to-end ML solution development from data pipelines to deployment and monitoring.
  • Translate business objectives into robust ML architectures reflecting context.
  • Collaborate with product, engineering, and business stakeholders to define problems and success metrics.
  • Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.
  • Stay current with AI/ML research and apply relevant innovations.

Conoscenze

Technical leadership
Cross-functional collaboration
Python
Data science
ML deployment

Formazione

Bachelor’s or Master’s in CS/ML/AI

Strumenti

Python
Pandas
NumPy
scikit-learn
PyTorch
Keras

Descrizione del lavoro

Hired is seeking a Python Machine Learning Engineer to drive design, development and delivery of advanced ML solutions in a remote role. You will lead and mentor while aligning ML initiatives with business goals across teams.

Required: 4+ years in data science, strong Python expertise, and experience with ML frameworks such as PyTorch and scikit-learn. You will translate business problems into robust ML architectures and stay ahead with AI research.

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