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
Knowledge, Skills, & Abilities
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.
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





