- Design and implement effective feature engineering using Azure tools.
- Set up and manage a feature store on Azure for centralized feature storage.
- Develop machine learning models using Azure ML, incorporating engineered features.
- Deploy models on Azure, ensuring seamless integration with applications.
- Establish monitoring systems for model performance and conduct regular maintenance.
- Integrate ML solutions with Azure services like Databricks and SQL Database.

Remote is also fine

- Good in python SQL, API written and packaged deploy, some knowledge of ML, good to have knowledge on CI CD pipeline Min 5+ years

Required Skills:

- Azure ML and Data Services: Proficient in Azure ML and relevant data services.
- Feature Store Management: Experience setting up and managing feature stores on Azure.
- Feature Engineering Techniques: Robust understanding and application of feature engineering.
- Programming (Python): Proficient in Python and ML frameworks .
- Model Deployment: Ability to deploy models as APIs on Azure.
- Monitoring and Optimization: Skill in implementing monitoring solutions and optimizing models.
- Collaboration and Communication: Effective collaboration with cross-functional teams.

📌 MLE Professional (Bengaluru)
🏢 Conneqt Business Solutions
📍 Bengaluru