MLOps Engineer Lead

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Comcast brings together the best in media and technology. We drive innovation to create the worlds 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 DESCRIPTION

Job Summary

Effectv, the advertising sales division of Comcast Cable, helps local, regional and national advertisers use the best of digital with the power of TV to grow their business. It provides multi-screen marketing solutions to make advertising campaigns more effective and easier to execute. The Insights & Analytics team within Effectv is responsible for delivering relevant, timely, comprehensive, and scalable data solutions to support the decisions of our internal customers and external clients. We are seeking a highly motivated and passionate MLOps Engineer responsible for designing, building, and maintaining our Machine Learning deployment infrastructure supporting the Data Science team. In collaboration with the Data Scientists, the MLOps Engineer will identify customers’ business goals and propose ideal MLOps tools and best practices to achieve those goals reliably and efficiently.

Job Description

Core Responsibilities

• Work closely with the Analytics, Engineering and Data Science team to enhance our data driven decision making culture.
• Collaborate with data engineers, data scientists, and technical leads to build pipelines, feedback loops, ML workflows, and APIs to be consumed by the Product team and other internal business partners.
• Design machine learning model artifact and feature stores in collaboration with enterprise data scientists.
• Implement a robust system for measuring and optimizing the quality of deployed algorithms and models.
• Experience building and maintaining CI/CD pipelines for ML use cases, including building, deploying, maintaining and monitoring ML solutions in production.?
• Build Continuous Testing environment to evaluate efficacy of developed models over time
• Lead the design and implementation of enterprise MLOps, including mentoring and directing junior engineers
• Collaborate with data scientists to help integrate MLOps into the model development process and assist in setting best practices to support scalable data science solutions.?
• 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.

Job Specifications

• 5+ years' of experience training, deploying, and monitoring end to end machine learning pipelines with extensive knowledge of evaluation metrics and best practices
• Bachelor's degree in a relevant field – (e.g. Computer Science, Mathematics, Data Science). Masters preferred
• A strong DevOps, Data, and ML background
• Understanding of data structures, data modeling and software architecture
• R or Python and SQL experience is required
• Understanding of various aspects of data preparation, feature engineering model training
• Experience with tools and programming languages to include Docker, Microsoft Azure Machine Learning, MLFlow, Amazon Sagemaker, or Databricks and GitHub.
• Cloud databases including Google Cloud platform, AWS, Microsoft Azure
• Knowledge of other programming languages like Scala is a plus
• Basic knowledge of statistics to include linear and logistic regression, supervised machine learning and time series forecasting preferred
• Knowledge of building statistical, machine learning, NLP, and AI models preferred
• Strong communication skills and ability to work with ambiguity.?
• Able to provide direction/support to more junior analysts

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.

Education

Bachelor's Degree

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 on our careers site for more details.