Machine Learning Engineer - Hybrid (Remote 1 Day/Week)

Comcast Resume; Washington (District of Columbia); Hybrid; USD 126,000 - 165,000; Full time

Benefits offered by this job

Benefits

Remote work option

Job summary

Comcast is seeking a talented ML Engineer to contribute to a team building and deploying machine learning models and scalable software. You will train models using TensorFlow/PyTorch, work with Databricks and Spark, and develop APIs in Python within a microservice architecture on Kubernetes and AWS.

The role emphasizes collaboration in an Agile environment and documentation of technical plans. The position may include remote work options and is informed by Comcast's flexible workplace policy.

Qualifications

• Master’s degree in CS, Engineering, or related technical field
• 1 year of experience building and training ML models with TensorFlow, PyTorch, Databricks and Spark
• Experience developing, testing, and debugging software using Python and CLI tools
• Experience developing and maintaining scalable APIs and microservices using Kubernetes, Helm, AWS, Istio
• CI/CD experience with Jenkins or GitHub Actions

Responsibilities

• Contribute to building, training, and deploying ML models and services
• Develop and debug software using Python and command line tools
• Build scalable APIs and microservices deployed in Kubernetes environments
• Collaborate in an Agile development setting and support CI/CD workflows
• Document requirements, design specifications, and technical details

Skills

Kubernetes

PyTorch

TensorFlow

Education

Master’s degree in Computer Science or related field

Tools

Databricks

Spark

Jenkins

Airflow

Job description

Comcast is seeking a talented ML Engineer to contribute to a team building and deploying machine learning models and scalable software. You will train models using TensorFlow/PyTorch, work with Databricks and Spark, and develop APIs in Python within a microservice architecture on Kubernetes and AWS.

The role emphasizes collaboration in an Agile environment and documentation of technical plans. The position may include remote work options and is informed by Comcast's flexible workplace policy.