Machine Learning Lead Engineer

Profile

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 leveraging internal and external data to provide modeling insights and information to support a fact-based decision-making process. The role overlaps with many disciplines, such as Data Engineering, Modeling and Ops. Provides input into machine learning processes, strategy, analysis methods, and tool selection. Acts as a key contributor in a complex and business-critical environment. May lead teams or interns or projects and shares expertise with the entire team.

Job Description

Core Responsibilities

Design, build, deploy, and operate MLOps pipelines to productionize and scale AI/ML models using Agile and CI/CD DevOps principles

Operate large-scale data pipelines that utilize online & offline data, structured & unstructured data, petabytes of data (media/behavioral/attitudinal) to build & operate customer-centric models and optimization tools.

Partners with internal clients to enhance understanding of business functions and informational needs to create sophisticated data solutions to business problems.

Collaborate with a cross-functional agile team spanning data science, product, and engineering to build new models features

Involved in complex projects using a wide breadth of data sciences and advanced techniques.

Assist to develop and deploy predictive models leveraging ML algorithms based on historical data that provide future predictions about customer behaviors

Understand, comply with, and enforce team policies and procedures, especially those for quality, efficiency, and productivity standards that enable the team to meet established milestones

Help drive optimization, testing, and tooling to improve the quality of ML workflows

Keen on learning about various tools and techniques for data wrangling and pipelining.

Consistent exercise of independent judgment and discretion in matters of significance.Regular, consistent, and punctual attendance. Must be able to work in variable schedule(s) as necessary.

Other duties and responsibilities as assigned.

#EBICareers

Required Skills

Experience building and running stable, scalable pipelines to structure and integrate Big Data in the solutions.

Knowledge of distributed computing with big data frameworks such as Hadoop, Spark is a must

Strong programming background with analytic and algorithmic skills in Scala/Java/Python

Hands-on development experience in Spark and/or PySpark

Spark optimization and performance tuning knowledge

Databricks experience preferred

Ensures that all code is developed in a well-structured and modularized fashion

Technical documentation skills to document development activities and decisions.

Desired Technical Experience

Expert working within enterprise data warehouse environments platforms (Teradata, Netezza, Oracle, etc.) and working within distributed computing platforms such as Hadoop and associated technologies such as SQL, HQL, MapReduce, Spark, Kafka, Sqoop and Hive.

Knowledge of Apache Airflow, Elastic Search, MinIO object storage is a huge plus

Familiarity with Dockers, Kubernetes, AWS or similar cloud platforms is a plus

Basic understanding of Agile and CI/CD DevOps principles

Experience with designing, building, and deploying MLOps pipelines to productionize and scaling successful AI/ML models

Basic to Intermediate level proficiency in a variety of modeling techniques and when/how to apply to problems: Statistical modeling, Supervised/Unsupervised machine learning,

Knowledge in deep learning frameworks such as TensorFlow and Keras

Experience in building, training, and testing AI/ML models based on the data

Education and Experience

Bachelor's Degree or higher in Data Science, Computer Science, Information Technology, or related field. Significant and relevant experience may also suffice.

7 years of professional experience in data engineering role

5 years of programming experience, preferably Python

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.

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

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, or any other basis protected by applicable law.

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

7-10 Years

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. 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 (https://jobs.comcast.com/life-at-comcast/benefits) on our careers site for more details.

Company info

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