ML Ops Engineer

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