ML Ops Engineer

Profile

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. Headquartered in New York with offices throughout the country, Effectv has a presence in 66 markets with nearly 35 million owned and represented subscribers. We're dedicated to helping our clients meet their business goals by connecting them with their customers through multiscreen television advertising. Working with companies from local startups to nationwide corporations, we provide support to help each business reach its target customers. By applying data to television advertising in new ways, we're able to bring our clients the best of digital media, coupled with the power of TV. To learn more, check out www.effectv.com.

Job Summary

This role within Effectv's Data Science, Engineering, and Analytics team focuses on implementing MLOps best practices in collaboration with the Data Science and Engineering teams. As a member of this growing team, you will work on projects that have an immediate and measurable impact on the business. As an MLOps Engineer, your primary goal is to develop an end-to-end model deployment and governance framework. This includes building, testing, and deploying machine learning algorithms, as well as evaluating their accuracy and functionality. You will be responsible for translating application requirements into machine learning problem statements, analyzing, and evaluating solutions both internally generated as well as third-party supplied. Your role will involve working with some of the best talent in the company to develop and architect the practice of MLOps on the cloud infrastructure. This will require collaboration with data scientists, software developers, and IT operations to ensure that ML models are integrated with other systems and processes.

Job Description

Responsibilities

Implements, refines, and validates machine learning algorithms for products and applications.

Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.

Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.

Researches, writes, and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.

Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.

Designs proof of concept solutions and contributes to studies to support future product or application development.

Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.

Provides guidance and leadership to more junior engineers.

Roll-out of software releases on a timely cadence with automated deployment tools.

Work on CI/CD pipelines for model applications.

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.

Tools Familiarity:

GitHub / Gitlab / Bitbucket for Code version control

Experience on at least one CI/CD or DevOps tool

Python is necessary. Scala, Java and R are good to have

Familiarity with python packages like pandas, NumPy, TensorFlow, pytorch, prophet would be great

Databricks for ETL and ML pipelines. Knowledge of MLflow is plus

Databases, SQL or NoSQL (MySQL, PostgreSQL, DynamoDB, Redis etc.)

Bash, Linux environments and utilities

AWS cloud services for applications like (SNS, Lambda, EMR, EC2, S3, SQS)

Have some knowledge of BI / Dashboarding frameworks (Tableau, Plotly, Dash)

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

5-7 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