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Engineer 2, Machine Learning — Comcast

Comcast is hiring an Engineer 2, Machine Learning for its Chennai, India engineering center, a role focused on implementing and validating ML algorithms, training models, managing deployments, and designing data pipelines. The position involves authoring technical documentation, contributing to patents and APIs, evaluating ML solutions, and conducting case studies and proof-of-concept research. Comcast, a Fortune 50 media and technology company, emphasizes innovation and customer experience in its job posting.

read4 min views1 publishedAug 3, 2026
Engineer 2, Machine Learning — Comcast
Image: Frontierroles (auto-discovered)
  • Salary
  • Not published
  • Location
  • India - Chennai, Comcast India Engineering Cent
  • Work type
  • On-site
  • Posted
  • today
[
Apply on company site (opens in new tab) ](https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/India---Chennai-Comcast-India-Engineering-Cent/Engineer-2--Machine-Learning_R442179)

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job entails implementing machine learning algorithms for products, model training, and deployment management. It involves data pipeline design, technical documentation, and innovation with patents and APIs. The role evaluates ML solutions, conducts case studies, and designs proof of concept strategies. It also includes research contribution for future development.

Job Description

Responsibilities:

  • Implementing, refining, and validating machine learning algorithms tailored for company products and applications
  • Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments
  • Designing and developing data pipelines, ensuring proper data ingestion, validation, cleaning, and monitoring
  • Researching and authoring documentation and technical requirements, including white papers, test results, and formal recommendations
  • Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property
  • Testing and evaluating machine learning solutions from internal and external sources, providing detailed assessments
  • Conducting case studies and compile reports to inform testing strategies and results
  • Designing proof of concept solutions, contributing to research studies that underpin future product or application development
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.

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.

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 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.

Certifications (if applicable)

Relevant Work Experience

2-5 Years

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.

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