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C Plus Plus Engineer Machine Learning Remote

$96k - $98k* · Senior Fully remote

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NOYA is hiring a Web3 Machine Learning Engineer - Quantitative Strategist NOYA is a native Omnichain yield aggregato...

Quantitative Machine Learning Dev Data Science

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[Hiring] ML Engineer

Comcast (CC) of Willow Grove Anywhere

Live

$96k - $98k · Senior Full-time Posted about 2 months ago 2 min read

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.

Qualifications • 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 • Experience deploying ML models using AWS services, including EMR and Sagemaker • Experience ensuring ML model governance and measuring ML model drifts using Python and MLFlow • Experience building and maintaining CI/CD pipelines for ML use cases using Terraform and Github • Experience using the Databricks platform for data analytics • Experience creating feature stores using Databricks features including Feature Store, Delta Tables, and Online Table Store

Requirements • Skills: Keras, Machine Learning Algorithms, Tensorflow

Benefits • An array of options, expert guidance, and always-on tools personalized to meet the needs of your reality • Support physically, financially, and emotionally through big milestones and everyday life

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[Hiring] ML Engineer

Web3 Machine Learning Engineer Quantitative Strategist

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