CPS Energy Machine Learning Engineer Interview Guide Overview

Company Introduction

CPS Energy is the nation's largest municipally owned energy company, providing affordable and reliable power to customers in San Antonio and surrounding areas. With a diversified energy portfolio, CPS Energy is dedicated to innovation and sustainability, constantly seeking new ways to meet the evolving needs of its community.

Position Information

The Machine Learning Engineer position at CPS Energy is a pivotal role within the Advanced Analytics & Intelligence (A2I) team. This team is a center of excellence that provides data-driven solutions through advanced analytic techniques to various CPS Energy operations and functions. The successful candidate will innovate, extract insights from complex data, and partner with business leaders to drive the company’s Data Transformation Strategy.

Skills Required

• Proficiency in Python and SQL
• Experience with statistical techniques, advanced data visualization, and data modeling
• Experience transforming data using database querying and dataframe classes
• Knowledge of machine learning APIs/libraries: SparkML, Scikit-learn, H2O.ai, TensorFlow, PyTorch
• Ability to translate complex analytical and technical concepts for non-technical employees
• Strong communication skills and the ability to work with ambiguity

Candidate Qualities

CPS Energy seeks candidates who are continuously striving for improvement and innovation. Ideal candidates are not just technically proficient but also strategic thinkers who can see the bigger picture and are able to communicate effectively with both technical and business teams. The role requires a Master’s degree in relevant fields and a proactive approach to problem-solving.

Welcome to the Interview Guide

Welcome to the CPS Energy Machine Learning Engineer Interview Guide hosted by Interview Query. In this guide, you will find invaluable insights and tips to help you navigate the interview process. With this guide, you can better understand the role, align your skills with the company's needs, and significantly boost your chances of landing the position. Dive in to get started on your journey to becoming a part of CPS Energy’s innovative team!

Typically, interviews at Cps Energy vary by role and team, but commonly Machine Learning Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the Cps Energy Machine Learning Engineer interview with these recently asked interview questions.