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# AI / Machine Learning Engineer

- **Company:** Robert Half
- **Location:** Des Moines, IA, United States
- **Experience:** Starter
- **Salary:** $80,000.0 - $100,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Technology Consulting, Python (Programming Language), Machine Learning, NumPy, Standard Sql, SQL Databases, Pandas, Scikit Learn, Machine Learning Operations
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/5e443ade-533f-45c3-b34c-424310f334b0

## About the Role

1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience
Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn
Experience with statistical modeling, predictive analytics, and machine learning
Strong SQL and data analysis skills
Ability to explain technical concepts to both technical and non-technical audiences
Collaborative, self-directed, and entrepreneurial mindset, Machine Learning, Detection, Artificial Intelligence (AI), Forecasting, Predictive Modeling, Python, Pandas, NumPy, SQL, All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities.
In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives.
What You'll Do
Develop and improve machine learning and predictive analytics models
Analyze complex data using Python and SQL
Support anomaly detection, forecasting, and advanced analytics initiatives
Evaluate model performance and recommend improvements
Collaborate with analysts, stakeholders, and leadership to solve business problems
Help shape AI/ML tools, methodologies, and best practices