Machine Learning Engineer

Role & responsibilities

Preferred candidate profile

• Design, develop, and deploy

  machine learning models

   using techniques such as

  regression, classification, clustering, and time series forecasting

  .
• Perform

  data analysis, preprocessing, and feature engineering

   to prepare high-quality datasets for modeling.
• Build and manage

  data pipelines and workflows

   in

  Databricks

   for model training and deployment.
• Utilize

  Unity Catalog

   for data governance, access control, and metadata management.
• Implement

  MLflow

   for experiment tracking, model versioning, and lifecycle management.
• Integrate ML workflows with

  CI/CD pipelines

   to ensure automated and reliable deployments.
• Optimize data processes using

  SQL

   and scripting in

  Python

  .
• Collaborate with data engineers, analysts, and business teams to deliver scalable and actionable ML solutions.