Brillio
Data Scientist- R01563520
Vaga remota de Data Science com fit claro de localização do candidato.
Publicada15 de jul. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
RomêniaEstados Unidos
Resumo da vaga
Data Scientist- R01563520
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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