[Hiring] ML Engineer

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role involves contributing to a team responsible for developing machine learning (ML) algorithms, models, and data pipelines for digital and linear advertising.

• Use Keras, TensorFlow, PyTorch, Spark, Python, and Scala within an Agile development environment
• Deploy ML models using AWS services, including EMR and Sagemaker
• Ensure ML model governance and measure ML model drifts using Python and MLFlow
• Build and maintain CI/CD pipelines for ML use cases using Concourse, Github, and Terraform
• Use the Databricks platform for data analytics
• Create feature stores using Databricks features including Feature Store, Delta Tables, and Online Table Store
• Identify data drift and model degradation over time and create necessary alerts to proactively address issues with deployed models
• Collaborate with data engineers, data scientists, and technical leads to develop and deliver cloud-based solutions to support scalable and reliable data science workflows
• Partner with Data Engineering to produce data pipelines
• Implement a robust system for measuring and optimizing the quality of deployed algorithms and models
• Design and implement enterprise ML Ops
• Collaborate with data scientists to help integrate ML Ops into the model development process
• Assist in setting best practices to support scalable data science solutions

Position is eligible for 100% remote work.