Engineer, AI/ML Operations

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Xfinity Data Platform (XDP) is an intelligence warehousing platform which provides centralized information and control capabilities over its subscriber’s local area network plus acquire, store and aggregate data related to end user connected devices to Comcast infrastructure. In addition, a modular intelligence logic allows for granular visibility and control of subscriber’s networks, providing device-centric value-added capabilities of creating and managing content access control policies, creating and managing performance policies or issuing presence notifications to the Comcast data ecosystem.

Job Description

This role is a foundational member of the platform DevOps and AIOps team responsible for:

Maintaining and evolving the

, which underpins key services across Connected Living.

• Supporting new infrastructure and operational requirements for Archetype, MLOps, and AIOps initiatives.
• Ensuring the platform remains reliable, secure, and scalable during a period of rapid expansion.

Approximately

, and this engineer provides deep specialization in:

• Kubernetes operations and performance tuning
• Cluster stability and security
• Autoscaling, networking, and observability for mission‑critical components

This role is uniquely skilled in running machine learning systems in production, including:

• Managing full ML lifecycle deployment pipelines
• Monitoring, retraining, and model governance
• Operationalizing AIOps patterns that reduce toil and elevate automation maturity

The engineer is responsible for operating and troubleshooting critical distributed systems, including:

• EKS, Spark, Kafka, Redis, and Zookeeper
• Multi‑layered data and compute pipelines that support real‑time and batch workloads
• High‑availability and disaster‑recovery architecture

We rely on this role to:

• Build high‑efficiency automation frameworks
• Reduce manual operational work using Python or Golang
• Accelerate engineering velocity with AI‑assisted tooling such as GitHub Copilot

This position manages Dev, Staging, and Production workloads across multiple regions globally.

This includes:

• Environment parity
• Compliance and regional configuration differences
• Supporting 24/7 global infrastructure

Historically, engineers in this role have delivered measurable value by:

• Reducing compute and storage costs
• Eliminating waste in Kubernetes clusters
• Optimizing data pipelines and observability tooling

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

Data Optimization; Troubleshooting; Platform Operations; Automation; AWS Elastic Kubernetes Service (EKS); AI Ops; Machine Learning Operations

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years