AI/ML Solutions Engineer I — Build Predictive Automation

Coca-Cola Bottlers (CONA Services)

Charlotte (NC)

On-site

USD 90,000 - 120,000

Full time

12 days ago

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Benefits offered by this job

401(k) match
Health coverage
Employee stock purchase plan

Job summary

Coca-Cola Bottlers (CONA Services) in Charlotte, NC seeks an AI/ML Solutions Engineer I to design, build, and support advanced AI, ML, automation, and analytics solutions addressing complex business needs.

This role partners with Data Solutions Leads and business teams to translate problems into scalable technical approaches, validate data and models, and document deployments for ongoing value realization.

Qualifications

  • Bachelor’s degree required.
  • 5–7 years of experience.
  • Experience in AI/ML and automation.

Responsibilities

  • Design, build, and implement AI, ML, 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

Skills

AI/ML
Advanced analytics
Automation
Python
SQL
Communication

Education

Bachelor's degree
Data Science background

Tools

Python
SQL
Data Science tools

Job description

Coca-Cola Bottlers (CONA Services) in Charlotte, NC seeks an AI/ML Solutions Engineer I to design, build, and support advanced AI, ML, automation, and analytics solutions addressing complex business needs.

This role partners with Data Solutions Leads and business teams to translate problems into scalable technical approaches, validate data and models, and document deployments for ongoing value realization.

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