Engineer 2, Engineering Operations

Posted:
9/10/2024, 4:02:15 PM

Location(s):
Thoraipakkam, Tamil Nadu, India ⋅ Tamil Nadu, India

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

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

Develop and Support Machine Learning requirements to influence Anomaly detection, Root cause analysis and new feature innovation to improve Reliability of Enterprise applications. The applications supported include but are not limited to OSS/BSS, Middleware, Customer CARE Applications/Tools, Tech applications/Tools, Internal Enterprise human resource, legal and Data Management Systems. This includes business functions such as billing, provisioning, activation, authentication, Telco/Cable operations, Serviceability, and Cloud based applications.
This role will work closely with peers within the Reliability Engineering group and other Devops teams, build excellent working relationships with partner organizations across the company. The ideal candidate has a proven track record of Machine Learnings Algorithm and NLP

Job Description

Core Responsibilities

  • Python Coding: Utilize your strong Python coding skills to develop robust and scalable solutions, ensuring high performance and efficiency.
  • Pyspark Development: Leverage your experience in Pyspark to design, develop, and optimize data processing pipelines for large-scale data analysis and manipulation.
  • Machine Learning Implementation: Apply your expertise in Machine Learning to develop and deploy predictive models, leveraging techniques such as regression, classification, clustering, and deep learning.
  • Database Management: Design and implement data models, schemas, and access patterns for various databases including NoSQL databases like Cassandra and Redis, as well as SQL databases like MSSQL. Develop efficient data storage and retrieval mechanisms to support application requirements.
  • Algorithm Development: Collaborate with cross-functional teams to conceptualize, design, and implement cutting-edge algorithms to solve complex business problems.
  • Data Analysis and Visualization: Analyze large datasets, derive meaningful insights, and present findings through intuitive visualizations to facilitate data-driven decision-making.
  • Provides training and guidance to less experienced team members.
  • Attains industry standard certifications and education.
  • 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) and overtime 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.
  • Respect and promote inclusion & diversity.
  • 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)

Relative Work Experience

2-5 Years

Comcast is proud to be 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.

Comcast

Website: http://corporate.comcast.com/

Headquarter Location: Philadelphia, Pennsylvania, United States

Employee Count: 10001+

Year Founded: 1963

IPO Status: Public

Last Funding Type: Grant

Industries: Internet ⋅ Telecommunications ⋅ TV ⋅ Video ⋅ Web Hosting