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Data Scientist - R01563520

3 months, 2 weeks ago
Romania
Full-time
Senior
Data Scientist
Data Science and Analytics
Azure Computer Vision Databricks Deep Learning 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 8

Description

  • Design, develop, and deploy machine learning and computer vision models for image-processing use cases (classification, detection, anomaly detection).
  • Perform feature engineering, model training, hyperparameter tuning, and model evaluation for production applications.
  • Lead modeling and experimentation efforts to iterate on approaches and improve model performance.
  • Collaborate with Data Engineers to build scalable, production-grade ML pipelines and integrate models into data platforms.
  • Deploy and manage models using Azure ML and Databricks, ensuring reproducibility and reliability in production.
  • Communicate technical results, insights, and recommendations to both technical teams and business stakeholders.

Requirements

  • 5–8 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 proficiency 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 and model evaluation methodologies.
  • Familiarity with MLOps concepts (preferred).
  • Exposure to Palantir Foundry (nice to have).
  • Experience deploying computer vision models to production (preferred).

Benefits

  • Flexible remote-first option or work from Brillio offices in Cluj‑Napoca, Oradea, or Bucharest.
  • Access to learning resources via 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 reimbursements for fitness or sporting activities within budget.

Interested in this position?

Apply directly on the company website

Apply Now

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