Senior ML Engineer — Deep Learning & MLOps (Hybrid)

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

Benefits offered by this job

Benefits

Job summary

Comcast, a Fortune 30 global media and technology company, seeks a machine learning engineer in the Washington, DC area to build, train, and deploy ML models at scale. You will use TensorFlow, PyTorch, Databricks, and Spark to deliver practical AI solutions that power products and experiences for millions of customers.

You will contribute to data pipelines, API development, and production monitoring, collaborating in an Agile environment with software engineers and data scientists.

Qualifications

• Master’s degree in Computer Science, Engineering, or related technical field.
• 1+ year of experience building and training ML models (DC landscape implied).
• Experience with TensorFlow, PyTorch, Databricks, Spark, and data pipelines.

Responsibilities

• Contribute to a team responsible for building, maintaining, and improving Machine Learning models.
• Train models, deploy into production, and monitor performance.
• Develop scalable APIs and microservices, using Kubernetes and cloud tools.

Skills

Kubernetes

PyTorch

TensorFlow

Education

Master’s degree in Computer Science or related field

Tools

Jenkins

Databricks

Spark

Airflow

Python

Git

GitHub Actions

Kubernetes

Job description

Comcast, a Fortune 30 global media and technology company, seeks a machine learning engineer in the Washington, DC area to build, train, and deploy ML models at scale. You will use TensorFlow, PyTorch, Databricks, and Spark to deliver practical AI solutions that power products and experiences for millions of customers.

You will contribute to data pipelines, API development, and production monitoring, collaborating in an Agile environment with software engineers and data scientists.