• Job Description

  Req#: R33001

  More than a career - a chance to make a difference in people's lives.

  Build an exciting, rewarding career with us – help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

  Job Summary:

  AI Specialists straddle the disciplines of Data Science & Data Engineering with a focus on data pipelines, AI Model enhancements and model retraining. Their unique skillsets add value throughout the lifecycle of machine learning model development and deployment. They have a passion for data and build pipelines for Data Scientists. An AI Specialists knowledge of Machine Learning pairs nicely with a Data Scientist on seamless handoffs for increased model performance and/or additional feature enhancements. Model development opportunities will be on-prem and cloud solutions. They work closely with their product team members including Enterprise Architects and Cyber Security. They participate in various Community of Practices (AI, Cloud, Architecture). These highly skilled team members are empowered, proactive and accountable. Frequently an AI Specialist interfaces directly with our business partners through various product demos and AI specific meetings.

  Responsibilities:

  • Support, collaborate & work along Data Scientists to ensure optimal data and model performance

  • Working with ETL tools for moving data and building data pipelines

  • Working with Python and/or PySpark

  • Working with all types of Joins, CTE’s, Indexes, Stored Procedures, SQL performance

  • Working with MLOps/DevOps to build data pipelines for model executions

  • Working with data ingestion from various data sources like SQL Server, Oracle, Hive

  • Working with AI Clouds (AWS, AZURE)

  • Working with Docker/Jenkins/Concourse/Terraform

  Basic/Required Qualifications:

  • Associates Degree

  • Minimum 1 year required of Related Work Experience

  • In lieu of Associates degree(s) AND 1 year(s) related work experience listed above, High School/GED AND 3 year(s) related work experience

  Preferred Qualifications:

  • Knowledge of Artificial Intelligence, Machine Learning technologies classifications, regressions and neural networks (Deep Learning)

  • Experience in working with Data Scientist within an AI Organization.

  • Strong communication skills

  • Team player

  Working Conditions:

  • Hybrid Mobility Classification – Work will be performed from both remote and onsite locations after the onboarding period. However, hybrid employees should live within a reasonable daily commute to a Duke Energy facility.

  Travel Requirements

  Not required

  Relocation Assistance Provided (as applicable)

  No

  Represented/Union Position

  No

  Visa Sponsored Position

  No

  Posting Expiration Date

  Sunday, November 17, 2024

  All job postings expire at 12:01 AM on the posting expiration date.

  Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.

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• About the company

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