Build and deploy machine learning and LLM solutions that turn complex business problems and messy data into actionable insights, rapid prototypes, reusable pipelines, and clear stakeholder-facing visualizations.
Data Scientist - R01563520
📜 Description
- Develop image-processing solutions for classification, detection, and anomaly detection.
- Perform feature engineering, model training, and evaluation.
- Collaborate with Data Engineers to build scalable machine learning pipelines.
- Deploy models using Azure ML and Databricks.
- Communicate insights and results to technical and business stakeholders.
🛠️ Requirements
- 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.
✨ Benefits
- 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.
- Take the next step with Brillio. Accelerate What Matters. Be a Catalyst for Tomorrow. Be a Brillian!
- Build and deploy machine learning and computer vision models using Python.
Full 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.
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