Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Artificial Intelligence Machine Learning Solutions Engineer II
Charlotte, NC, US, 28211
Live, first seen by us 73 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and lead advanced AI, ML, and automation solutions for complex business needs
Define technical architectures and lifecycle plans for innovation-led use cases
Prepare, test, validate, and optimize data, models, and solution components
Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions
Partner with Data Solutions Leads and business stakeholders on solution strategy
From the employer’s posting
Independently design, build, and lead advanced AI, machine learning, automation, and analytical solutions for highly complex business needs
Define technical architectures, implementation approaches, and lifecycle plans for innovation-led use cases
Prepare, test, validate, and optimize data, models, logic, and solution components
Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions
Partner with Data Solutions Leads, business stakeholders, and technical teams to shape practical advanced solution strategies
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree (4 years)
- 7 or more years experience
Preferred experience
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred.
Qualification wording
Bachelor’s degree (4 years)
7 or more years experience
Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred.
Education & alternatives
Minimum Qualifications - Bachelor’s degree (4 years) - 7 or more years experience
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 23, 202673 days ago
- Recorded sightings
- 702
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 73
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Coca-Cola Consolidated’s usual: its jobs come down by about day 25.
From 4,452 similar postings that came down, and 12 of Coca-Cola Consolidated’s. Coming down is not always a hire.
Coca-Cola Consolidated is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 14% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- Deep experience in AI, machine learning, advanced analytics, automation, or intelligent solution development - Strong proficiency in Python, SQL, and advanced technical tools used for model development, orchestration, and deployment - Experience leading end-to-end design and implementation of predictive, optimization, classification, recommendation, or LLM-based solutions
Your next step
Complete your application on conaservices.jobs2web.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
About Coca-Cola Consolidated
- People
- About 17,000 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
- Company
- Listed as COKE.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Requisition ID: 264821
Locations: Charlotte
Click here to experience a Day in the Life of our Teammates!
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 II is responsible for independently designing, building, and leading advanced AI, machine learning, automation, and intelligent analytical solutions that address highly complex business needs. This role owns end-to-end technical execution for major advanced solution efforts and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.
Duties & Responsibilities
- Independently design, build, and lead advanced AI, machine learning, automation, and analytical solutions for highly complex business needs
- Define technical architectures, implementation approaches, and lifecycle plans for innovation-led use cases
- Prepare, test, validate, and optimize data, models, logic, and solution components to ensure solution quality, reliability, and business value
- Partner with Data Solutions Leads, business stakeholders, and technical teams to shape practical advanced solution strategies
- Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability, reuse, and ongoing value realization
- Other duties as assigned
Knowledge, Skills, & Abilities
- Deep experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
- Strong proficiency in Python, SQL, and advanced technical tools used for model development, orchestration, and deployment
- Experience leading end-to-end design and implementation of predictive, optimization, classification, recommendation, or LLM-based solutions
- Ability to define technical approaches, evaluate tradeoffs, and lead advanced solution lifecycles independently
- Strong understanding of data preparation, model evaluation, performance tuning, monitoring, and operationalization
- Ability to translate complex business needs into practical and scalable advanced technical solutions
- Strong collaboration and communication skills with solution leads, stakeholders, and technical contributors
- Ability to create new technical patterns or approaches when established methods are insufficient
Minimum Qualifications
- Bachelor’s degree (4 years)
- 7 or more years experience
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
- Independently design, build, and lead advanced AI, machine learning, automation, and analytical solutions for highly complex business needs
- Define technical architectures, implementation approaches, and lifecycle plans for innovation-led use cases
- Prepare, test, validate, and optimize data, models, logic, and solution components to ensure solution quality, reliability, and business value
- Partner with Data Solutions Leads, business stakeholders, and technical teams to shape practical advanced solution strategies
- Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability, reuse, and ongoing value realization
- Other duties as assigned
#LI-MP1
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Charlotte, NC, US, 28211
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.