Company Name:-
Experian

Job Location:-
Costa Mesa, CA 92626

Job Summary:-
New and emerging technologies such as artificial intelligence (AI) and Machine Learning (ML) are helping Experian Consumer Services (ECS) deliver insightful and personalized experiences for our customers, drive greater operational efficiency, and better manage risk.

The Enterprise Architecture team at ECS is scaling its Machine Learning (ML) Platform that enables end to end solutions for the business to build and deploy their ML models.

We are looking for a highly motivated and experienced Sr.

Machine Learning Architect to focus on commercializing several new products utilizing Machine Learning (ML).

The role will require hands on experience with data ETL, feature extraction/feature definition, data validation, model monitoring, model optimization, and model lifecycle management.

All types of ML model deployment methods should be supported as well.

About us, but we’ll be brief
Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society.

We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for.

In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

What you’ll be doing
Extracting data from a database, cleaning the data, and preparing it for consumption
Selecting the best algorithmic approach to serve an ML use case
Tuning the model for development
Constructing data pipelines to maintain the model
Monitor the model for performance and drift
Coding everything required to orchestrate multiple models together
Automating deployment through CI/CD environments
Creating and automating model workflows
Authoring dashboards to manage and monitor the end-to-end model lifecycle
What your background looks like
BS or MS (preferred) in Computer Science or a related field
5+ years current practical experience developing production-quality applications in Java/JavaScript/C# and/or Python.

5-10 years of experience with large-scale production machine learning orchestration between multiple accounts.

Demonstrated Knowledge of Databases (Hadoop preferred), Data ETL (Spark preferred – streaming and structured streaming), Analyti

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