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 I
Charlotte, NC, US, 28211
Live, first seen by us 27 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 implement AI, ML, automation, and analytical solutions
Evaluate feasibility and build prototypes or production-ready components
Prepare, test, and validate data, models, and solution components
Partner with business stakeholders and technical teams on solution goals
Monitor, maintain, and document deployed AI, ML, or automation solutions
From the employer’s posting
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
Prepare, test, and validate data, models, logic, and solution components
Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals
Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions
What you’ll bring
All qualificationsCore experience
- 5 to 7 years of experience in AI, ML, analytics, or automation
- Bachelor's degree (4 years)
- Proficiency in Python, SQL, and other data science tools
- Experience with predictive, classification, recommendation, or LLM-based solutions
- Strong communication skills and ability to work with business partners
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
5 to up to 7 years
Bachelor’s degree (4 years)
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
Strong communication skills and ability to collaborate with business partners
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) - 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 9, 202627 days ago
- Recorded sightings
- 222
- Last seen by us
- Nov 5, 2026
- Reposted
- once since Aug 23, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 27
Similar jobs usually come down between day 6 and day 70.
At Coca-Cola Consolidated, jobs usually 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
- 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
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: 264818
Locations: Charlotte
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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.
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.