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Open nowPosted yesterday

Engineer 2 - Machine Learning

Comcast661 open roles

Where
India - Chennai, Comcast India Engineering Cent
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Your applicationOpen nowEngineer 2 - Machine LearningComcast · India - Chennai, Comcast India Engineering Cent

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  4. CV RocketApplied on Comcast's own form.

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Comcast postings stay open a median of 14 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted yesterday

Comcast median: 14 days open

The posting

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

CORE RESPONSIBILITIES

AI-Driven Development & Low-Code Solutions

  • Use GitHub Copilot, Microsoft Copilot Studio, and related tools to accelerate software development, workflow automation, and prototyping.
  • Build low-code or lightweight applications and integrations that improve legal intake, document routing, knowledge access, and other legal operations workflows.
  • Apply AI-assisted development practices while following established engineering standards for quality, testing, and maintainability.

Integration Engineering

  • Develop and support integrations using Python, RESTful APIs, and secure data exchange patterns.
  • Build reusable integration components for legal technology platforms such as contract lifecycle management, matter management, document management, e-signature, and knowledge systems.
  • Help ensure solutions align with enterprise security, privacy, compliance, and data governance requirements, including the handling of sensitive legal information.

Data Management & Governance

  • Apply data quality and data hygiene practices to maintain accurate, consistent, and well-governed legal data and metadata across systems.
  • Support data mapping, validation, and monitoring efforts that improve search, reporting, automation, and AI-enabled use cases.

Collaboration & Business Alignment

  • Partner with Legal, Legal Operations, and technology stakeholders to understand requirements, refine use cases, and implement solutions aligned with business priorities.
  • Translate legal workflow requirements into technical designs and deliverables with guidance from senior engineers and product or business leads where appropriate.
  • Participate in design reviews, sprint planning, testing, and agile ceremonies to support reliable delivery and adoption.

Innovation & Continuous Improvement

  • Stay current with emerging AI development tools, integration patterns, and legal technology capabilities relevant to the team.
  • Contribute to documentation, peer reviews, and continuous improvement efforts across development and support processes.
  • Apply established best practices in AI-assisted development and low-code platforms.
  • Other duties as assigned
  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the Employee 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.
  • Respect and promote inclusion & diversity
  • Do what's right for each other, our customers, investors and our communities.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

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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