ML Ops Engineer-8013

ML Ops Engineer-8013

• Contribute to a team responsible for developing machine learning (ML) algorithms, models, and data pipelines for digital and linear advertising
• 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
• 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

• Master’s degree (or foreign equivalent) in Computer Science, Statistics, Data Science, Analytics, or any related technical or quantitative field
• One (1) year of experience developing machine learning (ML) algorithms, models, and data pipelines using Keras, TensorFlow, PyTorch, Spark, and Python within an Agile development environment
• Deploying ML models using AWS services, including EMR and Sagemaker
• Ensuring ML model governance and measuring ML model drifts using Python and MLFlow
• Building and maintaining CI/CD pipelines for ML use cases using Terraform and Github
• Using the Databricks platform for data analytics
• Creating feature stores using Databricks features including Feature Store, Delta Tables, and Online Table Store

• Paid Time off
• Physical Wellbeing
• Financial Wellbeing
• Emotional Wellbeing
• Life Events + Family Support

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