Description

Own the end-to-end lifecycle of data science projects, from data engineering to ML model deployment.

This role is on-site.

Responsibilities

• Design and implement machine learning models using Python and Azure ML.
• Perform complex data analysis and feature engineering using SQL.
• Deploy and maintain ML models in production environments.
• Collaborate with engineering teams to integrate models into applications.
• Monitor model performance and implement continuous improvement strategies.

Required Skills

• 8+ years of overall experience in data science or related fields.
• 5-6 years of hands-on experience with Data Science and ML Modelling.
• Strong proficiency in Python for data manipulation and modeling.
• Expert-level SQL skills for querying and managing large datasets.
• Practical experience with Azure ML for model training and deployment.
• Bachelor’s degree in a quantitative field or equivalent experience.

Preferred Skills

• Experience with cloud-based data platforms beyond Azure.
• Familiarity with MLOps practices and CI/CD for ML.

Key Skills

Education

Any Graduate