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Coca-Cola hiring Artificial Intelligence Machine Learning Solutions Engineer I, Charlotte, North Carolina

Artificial Intelligence Machine Learning Solutions Engineer I

Coca-Cola

Charlotte, North Carolina
Posted 1 weeks ago

Qualifications

Education

Bachelor's degree (4 years)

Responsibilities

Primary Duties

  • Design, build, and implement AI, machine learning, automation, and advanced analytical solutions that address complex business needs
  • Evaluate technical feasibility, define solution approaches, and develop prototypes or production-ready components for innovation-led use cases
  • Prepare, test, and validate data, models, logic, and solution components to ensure quality, reliability, and business usefulness
  • Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals and operational needs
  • Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability and ongoing value realization
  • Other duties as assigned

About This Role

The AI / ML Solutions Engineer I is responsible for designing, building, and supporting advanced AI, machine learning, automation, and intelligent analytical solutions that address complex business needs.

Experience Requirements

Required

5 to up to 7 years

Benefits & Perks

Benefits Package

  • 401(k) match
  • health coverage
  • employee stock purchase plan

Required Skills

Technical Skills

AImachine learningadvanced analyticsautomationintelligent solution developmentPythonSQL

Soft Skills

Strong communication skillsAbility to collaborate with business partnersAbility to work through ambiguity

Full Job Description

Artificial Intelligence Machine Learning Solutions Engineer I
Charlotte, NC, US, 28211

Locations: Charlotte

Uncap Your Potential at America's Largest Coca-Cola Bottler — Pour Your Passion into Purpose! We're more than beverages—we're building meaningful careers and vibrant communities. Join our team where your talent meets purpose, and every teammate directly shapes our success.

Career Growth: Clear pathways to advance and develop your career
Competitive Benefits: 401(k) match + health coverage + employee stock purchase plan
Purpose-Driven: Create meaningful impact in the communities you serve
Professional Development: Dedicated training + personalized mentorship

Join us - your refreshing new chapter starts here!

Job Overview
The AI / ML Solutions Engineer I is responsible for designing, building, and supporting advanced AI, machine learning, automation, and intelligent analytical solutions that address complex business needs. This role develops technical capabilities that extend beyond standard data product delivery and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.

Duties & Responsibilities
  • Design, build, and implement AI, machine learning, automation, and advanced analytical solutions that address complex business needs
  • Evaluate technical feasibility, define solution approaches, and develop prototypes or production-ready components for innovation-led use cases
  • Prepare, test, and validate data, models, logic, and solution components to ensure quality, reliability, and business usefulness
  • Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals and operational needs
  • Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability and ongoing value realization
  • Other duties as assigned

Knowledge, Skills, & Abilities
  • Strong experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
  • Proficiency in Python, SQL, and other technical tools used for data science, automation, and model development
  • Experience designing and implementing predictive, classification, recommendation, optimization, or LLM-based solutions
  • Ability to evaluate technical feasibility and translate business problems into scalable technical approaches
  • Understanding of data preparation, feature engineering, model testing, validation, and solution monitoring
  • Experience integrating advanced solutions into business processes, applications, or reporting environments
  • Strong communication skills and ability to collaborate with business partners, Data Solutions Leads, and other technical resources
  • Ability to work through ambiguity and build practical, production-minded solutions

Minimum Qualifications
Bachelor's degree (4 years)
5 to up to 7 years

Preferred Qualifications
Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred

Work Environment
Normal office environment

Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other characteristic protected by applicable law.

Company Culture

Work Environment: Normal office environment

How to Apply

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