Data Scientist Job at Brillio, United States

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  • Brillio
  • United States

Job Description

Senior Data Scientist

The Senior Data Scientist develops and deploys advanced analytics and machine learning solutions on Azure, with a focus on image processing and computer vision use cases. The role combines modeling, experimentation, and production deployment.

Key Responsibilities

  • Build and deploy ML and CV models using Python.
  • Work on image processing use cases (classification, detection, anomaly detection).
  • Perform feature engineering, model training, and evaluation.
  • Collaborate with Data Engineers on scalable ML pipelines.
  • Deploy models using Azure ML and Databricks.
  • Communicate insights and results to technical and business stakeholders.

Required Skills & Experience

  • 5-8 years of experience in data science or applied ML.
  • At least 1 year of hands-on image processing / computer vision experience.
  • Strong Python skills and ML libraries (Pandas, NumPy, Scikit-learn).
  • Experience with PyTorch or TensorFlow.
  • Hands-on experience with Azure ML and/or Databricks.
  • Solid understanding of statistics and model evaluation.
  • Nice to Have: Exposure to Foundry, Experience deploying CV models to production, Familiarity with MLOps concepts.

Perks and Benefits

  • We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest.
  • Access to learning through our internal platform - Percipio.
  • Private health insurance is provided by Medicover.
  • Work from home fixed monthly budget.
  • A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform.
  • Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports.

Take the next step with Brillio. Accelerate What Matters. Be a Catalyst for Tomorrow. Be a Brillian!

Job Tags

Remote work, Work from home, Flexible hours

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