Business Intelligence AI/ML Engineer 3 (Nightshift)

Comcast Business offers a suite of Connectivity, Communications, Networking, Cybersecurity, Wireless, and Managed Solutions to help global organizations of all sizes prepare for what's next. Powered by the nation's largest Gig-speed broadband network and backed by 24/7 customer support, Comcast Business is the nation's largest technology provider to small businesses and one of the leading service providers to the Enterprise market. Comcast Business has been consistently recognized by industry analysts and associations as a leader and innovator, and one of the fastest growing providers of Ethernet services.
Job Summary
The AI/ML Engineer 3 is an early-to-mid level individual contributor responsible for building and operationalizing machine learning solutions that support analytics and decisioning across the Quote-to-Cash lifecycle. This role focuses on developing models, feature pipelines, and repeatable ML workflows under defined problem statements and established architectural patterns.
Job Description
Responsibilities:

• Working with moderate direction, the Engineer 3 partners with Business Intelligence, data engineering, and business stakeholders to translate well-scoped use cases into deployable ML assets. The role contributes to model training, evaluation, and deployment while adhering to governance, documentation, and reliability standards that enable trusted business adoption.
  This job independently drives data analytics and business intelligence efforts, crafting predictive models and strategic insights for informed decision-making. It operates with minimal guidance, ensuring data integrity and compliance. The role effectively communicates complex data findings to influence executive-level strategies.
  Model Development & Feature Engineering • Develops machine learning models aligned to defined use cases (e.g., classification, regression, forecasting, anomaly detection) under established standards and guidance.• Builds feature sets and feature pipelines using structured and semi-structured data sources, applying best practices in data preparation, encoding, and leakage prevention.• Supports experimentation workflows, including baseline modeling, evaluation, and iteration using agreed-upon success metrics.
  ML Pipeline Implementation & Integration• Implements repeatable model training workflows and integrates outputs into downstream consumer environments (dashboards, extracts, APIs, or reporting layers) in partnership with BI and platform teams. • Assists in building and maintaining batch scoring solutions and scheduled inference jobs using approved orchestration patterns.
  Data Validation & Quality Support• Performs routine validation of training and scoring data to detect anomalies, drift indicators, and input integrity issues. • Documents assumptions, feature definitions, and known limitations; escalates quality risks and partners on remediation.
  Testing, Documentation, and Reproducibility• Writes unit/integration tests for ML code and pipelines; supports reproducible workflows through version control and consistent environment practices.• Produces clear technical documentation for models, features, and inference behavior to support review and adoption.
  Cross-Functional Collaboration• Partners with BI and business stakeholders to confirm business intent, interpretability needs, and operational requirements for model outputs. • Collaborates with data engineering for source data access, pipeline dependencies, and scalable processing patterns.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

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.
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