The 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
4-6 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.