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Data Scientist - R01563521

2 hours, 27 minutes ago
Romania
Full-time
Mid Level
Data Scientist
Data Science and Analytics
Azure Computer Vision Databricks Feature Engineering Machine Learning MLOps NumPy Pandas Python PyTorch Scikit-learn Statistics TensorFlow
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Brillio

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, partnering with companies to drive business improvement and competitiveness through innovative technology solutions.

IT Services
1K-5K
Founded 2014
View All Jobs 6

Description

  • Design, build, and deploy machine learning and computer vision models for image processing use cases (classification, detection, anomaly detection).
  • Perform feature engineering, model training, validation, and evaluation to ensure robust model performance.
  • Run experiments and iterate on model architectures and training approaches to improve accuracy and reliability.
  • Collaborate with Data Engineers to integrate models into scalable, production ML pipelines.
  • Deploy and manage models using Azure ML and Databricks, supporting production operationalization.
  • Communicate technical results, model behavior, and business insights to both technical and non-technical stakeholders.
  • Own parts of the end-to-end model lifecycle from prototyping through production deployment and monitoring.

Requirements

  • 4–6 years of experience in data science or applied machine learning.
  • At least 1 year of hands-on experience in image processing / computer vision.
  • Strong Python skills and experience with ML libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with Azure ML and/or Databricks for model development and deployment.
  • Solid understanding of statistics, model evaluation, and experimental design.
  • Familiarity with MLOps concepts and production deployment practices (preferred).
  • Exposure to Foundry and prior experience deploying computer vision models to production (nice to have).

Benefits

  • Flexible work arrangement: fully remote or from offices in Cluj‑Napoca, Oradea, or Bucharest.
  • Access to learning resources through the internal Percipio platform.
  • Private health insurance provided by Medicover.
  • Work-from-home fixed monthly budget.
  • Monthly flexible benefits budget via the Edenred Benefit platform.
  • Sports benefit with reimbursement for sporting activities within budget.

Interested in this position?

Apply directly on the company website

Apply Now

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