Machine Learning Engineer

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. Join us - your refreshing new chapter starts here! 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 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. #J-18808-Ljbffr