Data Scientist
Bucharest, Romania, Romania
- Pay
- Salary not listed in the saved posting
- Work setup
Remote — work setup source
Work setup in the employer’s listing: remote
From the employer’s posting- Employment
- Unconfirmed
What you’ll work on
Full postingThe 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.
Build and deploy ML and computer vision models in Python
Work on image classification, detection and anomaly detection
Do feature engineering, model training and evaluation
Collaborate with Data Engineers on scalable ML pipelines
Deploy models using Azure ML and Databricks
From the employer’s posting
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.
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.
What you’ll bring
All qualificationsCore experience
- 5-8 years in data science or applied ML
- At least 1 year hands-on image processing or computer vision
- Strong Python and ML libraries (Pandas, NumPy, Scikit-learn)
- Experience with PyTorch or TensorFlow
- Hands-on experience with Azure ML and/or Databricks
Qualification wording
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.
Tools in this posting
- Python
- Azure
- Databricks
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
Key Responsibilities - Build and deploy ML and CV models using Python. - Work on image processing use cases (classification, detection, anomaly detection).
- 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.
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
- Collaborate with Data Engineers on scalable ML pipelines. - Deploy models using Azure ML and Databricks. - Communicate insights and results to technical and business stakeholders.
- Experience with PyTorch or TensorFlow. - Hands‑on experience with Azure ML and/or Databricks. - Solid understanding of statistics and model evaluation.
- Strong Python skills and ML libraries (Pandas, NumPy, Scikit‑learn). - Experience with PyTorch or TensorFlow. - Hands‑on experience with Azure ML and/or Databricks.
About Brillio-2
Born digital in 2014, Brillio is a powerhouse of digital transformations.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Apr 6, 2026 · 195d ago
- Recorded sightings
- 370
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
Employment type
Employee
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bucharest, Romania, Romania
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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