AI/ML Solutions Engineer I

NO C2C - W2 ONLY
LOCAL CANDIDATES ONLY
Job Title: AI/ML Solutions Engineer – Full Time / Direct Placement
Number of Openings: 2
Location: Charlotte, NC (hybrid – minimum 4 days/week in office)
Compensation: $130-150K/year base salary + ~15% bonus (performance/profit-based, often exceeds 15%)
Approved Work Authorizations: US Citizen and Green Card holder (permanent resident)
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.
90% technical / 10% business communication.
Must understand high-level concepts and explain them in meetings.
Capable of both coding and engaging with stakeholders.
Candidates must communicate effectively first, with technology as a supporting attribute
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
5-7 years of experience
Preferred Qualifications
Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred
Interview Process:
Round 1 (Remote, ~1.5 hours)
1 hour technical (SQL, Python, AI exercises, 20 min each) on CoderPad
30 min behavioral questions
Round 2 (On-site, 1 hour): STAR panel for candidates passing technical
About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions
Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.

Work arrangement
Yes