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Salary
≈ $25k – $64k per year (Estimated)
Location
Remote (Romania)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Apr 6, 2026. Brillio scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Brillio is an American digital technology services company founded in 2014 that works on data engineering, cloud modernisation, customer experience platforms and applied artificial intelligence for large enterprises. Its clients are concentrated in banking and financial services, healthcare, technology and retail, and it positions itself around building and running digital products rather than the traditional labour-arbitrage outsourcing model. Headquartered in Edison, New Jersey with its largest delivery base in India, it is backed by Bain Capital and employs several thousand engineers across the United States, India, Mexico and Europe.

Role Summary

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.
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