ML Ops Engineer

Job Summary

A company is looking for an ML Ops Engineer.

Key Responsibilities

• Develop machine learning algorithms, models, and data pipelines for digital and linear advertising
• Deploy ML models using AWS services and ensure model governance and drift measurement
• Collaborate with data engineers and scientists to create scalable and reliable data science workflows

Required Qualifications

• Master's degree in Computer Science, Statistics, Data Science, Analytics, or a related field
• One year of experience in developing ML algorithms and data pipelines using Keras, TensorFlow, and Python
• Experience deploying ML models using AWS services like EMR and Sagemaker
• Familiarity with CI/CD pipelines for ML use cases using Terraform and Github
• Experience using the Databricks platform for data analytics and creating feature stores