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

• 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

• 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

• Bachelor’s degree
• 5-7 years of experience

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred

1. Round 1 (Remote, ~1.5 hours)
   • 1 hour technical (SQL, Python, AI exercises, 20 min each) on CoderPad
   • 30 min behavioral questions
2. 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.