Brillio
Data Scientist- R01563520
Remote Data Science role with clear candidate location fit.
PostedJul 15, 2026
Eligible countries2 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
RomaniaUSA
Role overview
Data Scientist- R01563520
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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.
Details
- 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.
- 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.
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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Location eligibility
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