Engineer 2 - 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

Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge.

Job Description

Key Responsibilities

• • Build end-to-end multi agent AI solutions that can transform business processes 

  • Utilize Python and or other data manipulation languages proficiently to prepare and manipulate data 

  • Understand the business requirements to identify opportunities for generating value using an AI solution and successfully implement the same with a team of professionals 

  • Collaborate with multiple stakeholders during the solution development and present findings to senior leaders and business teams with strategic recommendations 

  • Stay abreast with latest technical and industry developments and create a point of view on the fitment and value for Comcast so that senior leadership can take an informed decision on the road ahead 

   Skills and attributes for success 

  • Agentic AI / Generative AI solution design and implementation 

  • Knowledge and experience in agile delivery methodologies  

  • Exceptional communication, documentation, storytelling and presentation skills 

  • Excellent stakeholder management experience 

   

  To qualify for the role, you must have 

  • Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field. 

  • At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain. 

  • Proficiency in Python and other related programming languages. 

  • Strong knowledge of machine learning, data analysis, mining, and predictive modeling. 

  • Excellent understanding of machine learning algorithms, processes, tools, and platforms. 

  • Possess strong problem-solving and strategic thinking abilities. 

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 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.