ML Ops Engineer-6506 at Comcast

Philadelphia, Pennsylvania, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising, AdTech, TechnologyIndustries

Requirements

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, Spark, Python, and Scala 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 either MLFlow, or both AWS Sagemaker and AWS Cloudwatch
Experience building and maintaining CI/CD pipelines for ML use cases using Concourse or Jenkins; Terraform or AWS CloudFormation or AWS CDK; and Github
Experience performing data analytics using any of the following: the Databricks platform, AWS Athena, AWS Redshift, AWS S3, AWS Glue, or AWS EMR

Responsibilities

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

Skills

Keras

TensorFlow

PyTorch

Spark

Python

Scala

AWS

EMR

Sagemaker

MLFlow

Concourse

Github

Terraform

Databricks

Delta Tables

Feature Store

CI/CD

Agile

Comcast

Comcast Corporation is a global media and technology company.

About Comcast

Philadelphia, PennsylvaniaHeadquarters

1963Year Founded

$42.3MTotal Funding

IPOCompany Stage

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Paid Vacation

Paid Parental Leave

Tuition Reimbursement

Unlimited Paid Time Off

Risks

Competition from streaming services impacts Comcast's traditional cable TV business.

5G technology enables new competitors in the broadband market, threatening Comcast's market share.

Consumer scrutiny of data caps and pricing could lead to reputational damage.

Differentiation

Comcast's acquisition of Nitel enhances its managed services offerings in the enterprise sector.

Comcast's digital equity grants highlight its commitment to corporate social responsibility.

Comcast's involvement in rural broadband initiatives opens new markets and customer bases.

Upsides

Comcast's $150M investment in Rio Rancho boosts internet speed and connectivity.

Transform Wealth LLC's investment indicates confidence in Comcast's financial health.

Comcast's expansion efforts could lead to increased customer satisfaction and retention.

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